Seasonal Bias(gcm mpi-chirps).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:  (time: 496, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-23a422f0-21f5-44af-b486-bec7dfca25a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-23a422f0-21f5-44af-b486-bec7dfca25a3' 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>: 496</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e947e0a4-a878-49e3-a9c8-1160b004e876' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e947e0a4-a878-49e3-a9c8-1160b004e876' 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'>1981-01-01 ... 2022-04-01</div><input id='attrs-59b4bd48-6394-4abe-b66d-fea474be1000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59b4bd48-6394-4abe-b66d-fea474be1000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf77ec16-a2b6-4921-bd52-607f49afac6a' class='xr-var-data-in' type='checkbox'><label for='data-bf77ec16-a2b6-4921-bd52-607f49afac6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-01T00:00:00.000000000&#x27;, ..., &#x27;2022-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2022-03-01T00:00:00.000000000&#x27;, &#x27;2022-04-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-6a591279-5e74-4233-bb8b-166b2a9ab802' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a591279-5e74-4233-bb8b-166b2a9ab802' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1b504b-4810-4977-a0eb-8f54aa59ad34' class='xr-var-data-in' type='checkbox'><label for='data-0a1b504b-4810-4977-a0eb-8f54aa59ad34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-2e3914da-79f6-4bd9-9b8a-8504656e301d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e3914da-79f6-4bd9-9b8a-8504656e301d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abd32ab6-61f4-475d-a009-6297219b402d' class='xr-var-data-in' type='checkbox'><label for='data-abd32ab6-61f4-475d-a009-6297219b402d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8120728-a628-4042-89f6-801d3d468b2a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8120728-a628-4042-89f6-801d3d468b2a' class='xr-section-summary' >Data variables: <span>(1)</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>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c87cefb5-0701-4abf-95b0-0d0573150c78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c87cefb5-0701-4abf-95b0-0d0573150c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-976bec5a-6db3-4992-b17d-a0ee5eccd5b2' class='xr-var-data-in' type='checkbox'><label for='data-976bec5a-6db3-4992-b17d-a0ee5eccd5b2' title='Show/Hide data 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[634880 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-058ef60e-b1a8-4626-95b1-44001a5653e1' class='xr-section-summary-in' type='checkbox'  ><label for='section-058ef60e-b1a8-4626-95b1-44001a5653e1' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-v2.0.monthly.nc chirps-v2.0.monthly_remap.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 496, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-01-01 1981-02-01 ... 2022-04-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
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    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/chirps/chirps-v2.0.monthly_remap.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "800e4d90",
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   "outputs": [
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       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 299, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2005-12-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-9ebac03a-cda9-443e-b999-72fe6ce5e361' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ebac03a-cda9-443e-b999-72fe6ce5e361' 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>: 299</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c4d0a909-2b77-4b4a-af84-c2eba252ad2c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c4d0a909-2b77-4b4a-af84-c2eba252ad2c' 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'>1981-02-01 ... 2005-12-01</div><input id='attrs-931c9ce2-a5fb-40e9-ae98-10c7ea14b2b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-931c9ce2-a5fb-40e9-ae98-10c7ea14b2b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4396514e-fa69-49ba-ae70-5c8a984da5d5' class='xr-var-data-in' type='checkbox'><label for='data-4396514e-fa69-49ba-ae70-5c8a984da5d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-01T00:00:00.000000000&#x27;, ..., &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-1d87a0d7-86d7-4a1d-8781-4437878affbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d87a0d7-86d7-4a1d-8781-4437878affbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27ed3fb7-222d-4744-9940-fab0e4cc81e2' class='xr-var-data-in' type='checkbox'><label for='data-27ed3fb7-222d-4744-9940-fab0e4cc81e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-51637876-7109-4a23-a128-dbedd2b27aa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51637876-7109-4a23-a128-dbedd2b27aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-992f37d3-41be-4c9e-88ec-9dd9d3fa0e3a' class='xr-var-data-in' type='checkbox'><label for='data-992f37d3-41be-4c9e-88ec-9dd9d3fa0e3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c0ae8b4-13e4-49e5-947b-cd32d03b2b75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8c0ae8b4-13e4-49e5-947b-cd32d03b2b75' class='xr-section-summary' >Data variables: <span>(1)</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>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8d2fb8a-aa63-47ff-9a3f-d00ca5d5a68c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8d2fb8a-aa63-47ff-9a3f-d00ca5d5a68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4209d47-36e1-483c-a626-3596ca9d3695' class='xr-var-data-in' type='checkbox'><label for='data-d4209d47-36e1-483c-a626-3596ca9d3695' title='Show/Hide data 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[382720 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-613f9916-1cb1-4d60-815a-7a83e32ca300' class='xr-section-summary-in' type='checkbox'  ><label for='section-613f9916-1cb1-4d60-815a-7a83e32ca300' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-v2.0.monthly.nc chirps-v2.0.monthly_remap.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 299, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-02-01 1981-03-01 ... 2005-12-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "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','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       ".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: 100, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime...</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-fe2492ef-922e-41f4-aaae-5f23a0d53c39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe2492ef-922e-41f4-aaae-5f23a0d53c39' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 100</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a781e03b-32a7-4634-b0bf-dd8ac26adebc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a781e03b-32a7-4634-b0bf-dd8ac26adebc' 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'>1981-06-01 ... 2005-09-01</div><input id='attrs-76a5bfd9-7584-4763-b4f3-5da15909f0cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76a5bfd9-7584-4763-b4f3-5da15909f0cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-defc6549-63c7-4940-92b6-ae8fc2e2cb6a' class='xr-var-data-in' type='checkbox'><label for='data-defc6549-63c7-4940-92b6-ae8fc2e2cb6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-db2364e3-d705-4381-869e-d04b81f7f91c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db2364e3-d705-4381-869e-d04b81f7f91c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23fcaf13-0b71-4934-a6ae-ece5662a96ed' class='xr-var-data-in' type='checkbox'><label for='data-23fcaf13-0b71-4934-a6ae-ece5662a96ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-a97589b7-939a-4619-aa8c-fd6084f0d061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a97589b7-939a-4619-aa8c-fd6084f0d061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c063c85-3e4d-4815-a3c3-25b8d099c076' class='xr-var-data-in' type='checkbox'><label for='data-7c063c85-3e4d-4815-a3c3-25b8d099c076' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d6773793-5c19-452b-ba53-1c00b01c9a83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d6773793-5c19-452b-ba53-1c00b01c9a83' class='xr-section-summary' >Data variables: <span>(1)</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>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cea79fbd-b3fc-426e-987d-4678f3b4a17b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cea79fbd-b3fc-426e-987d-4678f3b4a17b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-275628b0-4948-46cd-bddf-2e692673449f' class='xr-var-data-in' type='checkbox'><label for='data-275628b0-4948-46cd-bddf-2e692673449f' title='Show/Hide data 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>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>time_step :</span></dt><dd>month</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[128000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-381acd70-9560-421e-96fb-e8dfdfa7de21' class='xr-section-summary-in' type='checkbox'  ><label for='section-381acd70-9560-421e-96fb-e8dfdfa7de21' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-v2.0.monthly.nc chirps-v2.0.monthly_remap.nc\n",
       "created by Climate Hazards Group</dd><dt><span>institution :</span></dt><dd>Climate Hazards Group.  University of California at Santa Barbara</dd><dt><span>title :</span></dt><dd>CHIRPS Version 2.0</dd><dt><span>version :</span></dt><dd>Version 2.0</dd><dt><span>date_created :</span></dt><dd>2022-05-16</dd><dt><span>creator_name :</span></dt><dd>Pete Peterson</dd><dt><span>creator_email :</span></dt><dd>pete@geog.ucsb.edu</dd><dt><span>documentation :</span></dt><dd>http://pubs.usgs.gov/ds/832/</dd><dt><span>reference :</span></dt><dd>Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P., 2014, A quasi-global precipitation time series for drought monitoring: U.S. Geological Survey Data Series 832, 4 p., http://dx.doi.org/110.3133/ds832. </dd><dt><span>comments :</span></dt><dd> time variable denotes the first day of the given month.</dd><dt><span>acknowledgements :</span></dt><dd>The Climate Hazards Group InfraRed Precipitation with Stations development process was carried out through U.S. Geological Survey (USGS) cooperative agreement #G09AC000001 &quot;Monitoring and Forecasting Climate, Water and Land Use for Food Production in the Developing World&quot; with funding from: U.S. Agency for International Development Office of Food for Peace, award #AID-FFP-P-10-00002 for &quot;Famine Early Warning Systems Network Support,&quot; the National Aeronautics and Space Administration Applied Sciences Program, Decisions award #NN10AN26I for &quot;A Land Data Assimilation System for Famine Early Warning,&quot; SERVIR award #NNH12AU22I for &quot;A Long Time-Series Indicator of Agricultural Drought for the Greater Horn of Africa,&quot; The National Oceanic and Atmospheric Administration award NA11OAR4310151 for &quot;A Global Standardized Precipitation Index supporting the US Drought Portal and the Famine Early Warning System Network,&quot; and the USGS Land Change Science Program.</dd><dt><span>ftp_url :</span></dt><dd>ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-latest/</dd><dt><span>website :</span></dt><dd>http://chg.geog.ucsb.edu/data/chirps/index.html</dd><dt><span>faq :</span></dt><dd>http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 100, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-09-01\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes: (12/17)\n",
       "    CDI:               Climate Data Interface version 1.9.9rc1 (https://mpime...\n",
       "    Conventions:       CF-1.6\n",
       "    history:           Thu Aug 11 11:16:04 2022: cdo remapnn,grid.des chirps-...\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    title:             CHIRPS Version 2.0\n",
       "    version:           Version 2.0\n",
       "    ...                ...\n",
       "    comments:           time variable denotes the first day of the given month.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ\n",
       "    CDO:               Climate Data Operators version 1.9.9rc1 (https://mpime..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "        398.09113],\n",
       "       [313.03275, 304.99213, 340.83173, ..., 159.18379, 245.99791,\n",
       "        286.82858],\n",
       "       [300.33856, 273.78464, 231.78273, ..., 220.41202, 251.78061,\n",
       "        284.67566]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-07a27d64-61e7-4774-abb6-b8fda921b56f' class='xr-array-in' type='checkbox' checked><label for='section-07a27d64-61e7-4774-abb6-b8fda921b56f' 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 ... 74.31 103.7 151.5 220.4 251.8 284.7</span></div><div class='xr-array-data'><pre>array([[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       ...,\n",
       "       [248.97762, 275.25247, 338.84406, ..., 204.03615, 273.31155,\n",
       "        398.09113],\n",
       "       [313.03275, 304.99213, 340.83173, ..., 159.18379, 245.99791,\n",
       "        286.82858],\n",
       "       [300.33856, 273.78464, 231.78273, ..., 220.41202, 251.78061,\n",
       "        284.67566]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-244a7131-c148-4538-8c59-72bb4336faf3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-244a7131-c148-4538-8c59-72bb4336faf3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-cf237f67-ede7-4b81-b200-d2ca5080ed9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf237f67-ede7-4b81-b200-d2ca5080ed9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f660e42-2e63-494c-b312-94ade0285f29' class='xr-var-data-in' type='checkbox'><label for='data-9f660e42-2e63-494c-b312-94ade0285f29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-575274f3-d83e-4cd0-a76d-b4271d7c7e72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-575274f3-d83e-4cd0-a76d-b4271d7c7e72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4db90d78-924e-41a0-9270-1b79d637baed' class='xr-var-data-in' type='checkbox'><label for='data-4db90d78-924e-41a0-9270-1b79d637baed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb9be9ef-f1f4-44ae-ace6-3782e6bd9ffe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bb9be9ef-f1f4-44ae-ace6-3782e6bd9ffe' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 40, lon: 32)>\n",
       "array([[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       ...,\n",
       "       [248.97762, 275.25247, 338.84406, ..., 204.03615, 273.31155,\n",
       "        398.09113],\n",
       "       [313.03275, 304.99213, 340.83173, ..., 159.18379, 245.99791,\n",
       "        286.82858],\n",
       "       [300.33856, 273.78464, 231.78273, ..., 220.41202, 251.78061,\n",
       "        284.67566]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean/30.4167\n",
    "\n",
    "\n",
    "\n",
    "chirps = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1872, bnds: 2, lat: 96, lon: 192)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1850-01-01 1850-02-01 ... 2006-01-01\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -87.65 -87.65 ... 87.65 87.65 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e2824ea3-047b-4532-b7fa-e0486bb18b7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2824ea3-047b-4532-b7fa-e0486bb18b7a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0ba25cc6-f225-46a0-a197-62c04341c226' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ba25cc6-f225-46a0-a197-62c04341c226' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-2d0ea64c-1458-435c-b4e8-9d2fbbe6e807' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d0ea64c-1458-435c-b4e8-9d2fbbe6e807' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f1b77a2-58d0-4ef7-9ab7-f15d622b66fd' class='xr-var-data-in' type='checkbox'><label for='data-2f1b77a2-58d0-4ef7-9ab7-f15d622b66fd' title='Show/Hide data 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([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.57 -86.72 ... 86.72 88.57</div><input id='attrs-ffaf50b6-48ee-4ce6-81de-237898ea4362' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffaf50b6-48ee-4ce6-81de-237898ea4362' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-494a0ab5-0d5c-4af4-a461-fa6dc2274751' class='xr-var-data-in' type='checkbox'><label for='data-494a0ab5-0d5c-4af4-a461-fa6dc2274751' title='Show/Hide data 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([-88.572166, -86.722534, -84.861969, -82.99894 , -81.134979, -79.270561,\n",
       "       -77.405891, -75.541061, -73.676132, -71.811134, -69.946083, -68.080994,\n",
       "       -66.215874, -64.350731, -62.485569, -60.620396, -58.755211, -56.890015,\n",
       "       -55.024807, -53.159595, -51.294376, -49.429153, -47.563927, -45.698692,\n",
       "       -43.833458, -41.96822 , -40.102978, -38.237736, -36.37249 , -34.507244,\n",
       "       -32.641994, -30.776745, -28.911493, -27.04624 , -25.180986, -23.315731,\n",
       "       -21.450476, -19.585218, -17.719961, -15.854704, -13.989446, -12.124187,\n",
       "       -10.258928,  -8.393669,  -6.528409,  -4.66315 ,  -2.79789 ,  -0.93263 ,\n",
       "         0.93263 ,   2.79789 ,   4.66315 ,   6.528409,   8.393669,  10.258928,\n",
       "        12.124187,  13.989446,  15.854704,  17.719961,  19.585218,  21.450476,\n",
       "        23.315731,  25.180986,  27.04624 ,  28.911493,  30.776745,  32.641994,\n",
       "        34.507244,  36.37249 ,  38.237736,  40.102978,  41.96822 ,  43.833458,\n",
       "        45.698692,  47.563927,  49.429153,  51.294376,  53.159595,  55.024807,\n",
       "        56.890011,  58.755211,  60.620396,  62.485569,  64.350731,  66.215874,\n",
       "        68.080994,  69.946083,  71.811134,  73.676132,  75.541061,  77.405891,\n",
       "        79.270561,  81.134979,  82.99894 ,  84.861969,  86.722534,  88.572166])</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 1.875 3.75 ... 356.2 358.1</div><input id='attrs-8ddfa78d-38d2-4aa3-9a89-fc5928f18da2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ddfa78d-38d2-4aa3-9a89-fc5928f18da2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d08c9aa-7102-4d8c-9492-e1c524ed6862' class='xr-var-data-in' type='checkbox'><label for='data-3d08c9aa-7102-4d8c-9492-e1c524ed6862' title='Show/Hide data 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.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4aa7fee7-6bea-4b94-85ff-82dd8adef757' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4aa7fee7-6bea-4b94-85ff-82dd8adef757' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d63879df-e72c-4949-9f3a-860a050728ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d63879df-e72c-4949-9f3a-860a050728ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-275eac7e-ba2d-4024-b5a3-8f73bacd049c' class='xr-var-data-in' type='checkbox'><label for='data-275eac7e-ba2d-4024-b5a3-8f73bacd049c' title='Show/Hide data 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;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1850-02-01T00:00:00.000000000&#x27;, &#x27;1850-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1850-03-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-097350c7-808b-48f1-b0dc-ca008bc52ef2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-097350c7-808b-48f1-b0dc-ca008bc52ef2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21758a5e-95af-4f33-8956-4eca01f0c8c3' class='xr-var-data-in' type='checkbox'><label for='data-21758a5e-95af-4f33-8956-4eca01f0c8c3' title='Show/Hide data 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([[-9.000000e+01, -8.764735e+01],\n",
       "       [-8.764735e+01, -8.579225e+01],\n",
       "       [-8.579225e+01, -8.393045e+01],\n",
       "       [-8.393045e+01, -8.206696e+01],\n",
       "       [-8.206696e+01, -8.020277e+01],\n",
       "       [-8.020277e+01, -7.833823e+01],\n",
       "       [-7.833823e+01, -7.647348e+01],\n",
       "       [-7.647348e+01, -7.460860e+01],\n",
       "       [-7.460860e+01, -7.274363e+01],\n",
       "       [-7.274363e+01, -7.087861e+01],\n",
       "       [-7.087861e+01, -6.901354e+01],\n",
       "       [-6.901354e+01, -6.714843e+01],\n",
       "       [-6.714843e+01, -6.528330e+01],\n",
       "       [-6.528330e+01, -6.341815e+01],\n",
       "       [-6.341815e+01, -6.155298e+01],\n",
       "       [-6.155298e+01, -5.968780e+01],\n",
       "       [-5.968780e+01, -5.782261e+01],\n",
       "       [-5.782261e+01, -5.595741e+01],\n",
       "       [-5.595741e+01, -5.409220e+01],\n",
       "       [-5.409220e+01, -5.222699e+01],\n",
       "       [-5.222699e+01, -5.036176e+01],\n",
       "       [-5.036176e+01, -4.849654e+01],\n",
       "       [-4.849654e+01, -4.663131e+01],\n",
       "       [-4.663131e+01, -4.476608e+01],\n",
       "       [-4.476608e+01, -4.290084e+01],\n",
       "       [-4.290084e+01, -4.103560e+01],\n",
       "       [-4.103560e+01, -3.917036e+01],\n",
       "       [-3.917036e+01, -3.730511e+01],\n",
       "       [-3.730511e+01, -3.543987e+01],\n",
       "       [-3.543987e+01, -3.357462e+01],\n",
       "       [-3.357462e+01, -3.170937e+01],\n",
       "       [-3.170937e+01, -2.984412e+01],\n",
       "       [-2.984412e+01, -2.797887e+01],\n",
       "       [-2.797887e+01, -2.611361e+01],\n",
       "       [-2.611361e+01, -2.424836e+01],\n",
       "       [-2.424836e+01, -2.238310e+01],\n",
       "       [-2.238310e+01, -2.051785e+01],\n",
       "       [-2.051785e+01, -1.865259e+01],\n",
       "       [-1.865259e+01, -1.678733e+01],\n",
       "       [-1.678733e+01, -1.492207e+01],\n",
       "       [-1.492207e+01, -1.305682e+01],\n",
       "       [-1.305682e+01, -1.119156e+01],\n",
       "       [-1.119156e+01, -9.326299e+00],\n",
       "       [-9.326299e+00, -7.461039e+00],\n",
       "       [-7.461039e+00, -5.595780e+00],\n",
       "       [-5.595780e+00, -3.730520e+00],\n",
       "       [-3.730520e+00, -1.865260e+00],\n",
       "       [-1.865260e+00, -5.960464e-08],\n",
       "       [-5.960464e-08,  1.865260e+00],\n",
       "       [ 1.865260e+00,  3.730520e+00],\n",
       "       [ 3.730520e+00,  5.595780e+00],\n",
       "       [ 5.595780e+00,  7.461039e+00],\n",
       "       [ 7.461039e+00,  9.326299e+00],\n",
       "       [ 9.326299e+00,  1.119156e+01],\n",
       "       [ 1.119156e+01,  1.305682e+01],\n",
       "       [ 1.305682e+01,  1.492207e+01],\n",
       "       [ 1.492207e+01,  1.678733e+01],\n",
       "       [ 1.678733e+01,  1.865259e+01],\n",
       "       [ 1.865259e+01,  2.051785e+01],\n",
       "       [ 2.051785e+01,  2.238310e+01],\n",
       "       [ 2.238310e+01,  2.424836e+01],\n",
       "       [ 2.424836e+01,  2.611361e+01],\n",
       "       [ 2.611361e+01,  2.797887e+01],\n",
       "       [ 2.797887e+01,  2.984412e+01],\n",
       "       [ 2.984412e+01,  3.170937e+01],\n",
       "       [ 3.170937e+01,  3.357462e+01],\n",
       "       [ 3.357462e+01,  3.543987e+01],\n",
       "       [ 3.543987e+01,  3.730511e+01],\n",
       "       [ 3.730511e+01,  3.917036e+01],\n",
       "       [ 3.917036e+01,  4.103560e+01],\n",
       "       [ 4.103560e+01,  4.290084e+01],\n",
       "       [ 4.290084e+01,  4.476608e+01],\n",
       "       [ 4.476608e+01,  4.663131e+01],\n",
       "       [ 4.663131e+01,  4.849654e+01],\n",
       "       [ 4.849654e+01,  5.036176e+01],\n",
       "       [ 5.036176e+01,  5.222699e+01],\n",
       "       [ 5.222699e+01,  5.409220e+01],\n",
       "       [ 5.409220e+01,  5.595741e+01],\n",
       "       [ 5.595741e+01,  5.782261e+01],\n",
       "       [ 5.782261e+01,  5.968780e+01],\n",
       "       [ 5.968780e+01,  6.155298e+01],\n",
       "       [ 6.155298e+01,  6.341815e+01],\n",
       "       [ 6.341815e+01,  6.528330e+01],\n",
       "       [ 6.528330e+01,  6.714843e+01],\n",
       "       [ 6.714843e+01,  6.901354e+01],\n",
       "       [ 6.901354e+01,  7.087861e+01],\n",
       "       [ 7.087861e+01,  7.274363e+01],\n",
       "       [ 7.274363e+01,  7.460860e+01],\n",
       "       [ 7.460860e+01,  7.647348e+01],\n",
       "       [ 7.647348e+01,  7.833823e+01],\n",
       "       [ 7.833823e+01,  8.020277e+01],\n",
       "       [ 8.020277e+01,  8.206696e+01],\n",
       "       [ 8.206696e+01,  8.393045e+01],\n",
       "       [ 8.393045e+01,  8.579225e+01],\n",
       "       [ 8.579225e+01,  8.764735e+01],\n",
       "       [ 8.764735e+01,  9.000000e+01]])</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-b42dddab-141c-44da-bdeb-bb3c8fc7e3a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b42dddab-141c-44da-bdeb-bb3c8fc7e3a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40e29152-4a1d-4e1c-897a-7094aa10a1f0' class='xr-var-data-in' type='checkbox'><label for='data-40e29152-4a1d-4e1c-897a-7094aa10a1f0' title='Show/Hide data 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([[ -0.9375,   0.9375],\n",
       "       [  0.9375,   2.8125],\n",
       "       [  2.8125,   4.6875],\n",
       "       ...,\n",
       "       [353.4375, 355.3125],\n",
       "       [355.3125, 357.1875],\n",
       "       [357.1875, 359.0625]])</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-443d0507-de81-4b82-ab55-9d955fc32e32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-443d0507-de81-4b82-ab55-9d955fc32e32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-111a4de9-c621-4395-9eb2-9760b559bea1' class='xr-var-data-in' type='checkbox'><label for='data-111a4de9-c621-4395-9eb2-9760b559bea1' title='Show/Hide data 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-08T16:30:02Z altered by CMOR: replaced missing value flag (2e+20) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MPI-ESM-MR_historical_r0i0p0.nc areacella: areacella_fx_MPI-ESM-MR_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[34504704 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-04e5fba0-566a-4c08-8a9c-396d9f777019' class='xr-section-summary-in' type='checkbox'  ><label for='section-04e5fba0-566a-4c08-8a9c-396d9f777019' 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>Max Planck Institute for Meteorology</dd><dt><span>institute_id :</span></dt><dd>MPI-M</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4936), T63L47; land: JSBACH (REV: 4936); ocean: MPIOM (REV: 4936), GR15L40; sea ice: 4936; marine bgc: HAMOCC (REV: 4936);</dd><dt><span>model_id :</span></dt><dd>MPI-ESM-MR</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SD,Sl,Vl,LU</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cmip5-mpi-esm@dkrz.de</dd><dt><span>history :</span></dt><dd>Model raw output postprocessing with modelling environment (IMDI) at DKRZ: URL: http://svn-mad.zmaw.de/svn/mad/Model/IMDI/trunk, REV: 3911 2011-10-08T16:30:02Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty first century? Climate Dynamics, 29, 565-574, doi 10.1007/s00382-007-0247-8;  MPIOM: Marsland et al., 2003. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91-127;  HAMOCC: Technical Documentation, http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;</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>f94bedfd-180d-43ad-b12d-99f102968059</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>2011-10-08T16:30:02Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>MPI-ESM-MR model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1872, bnds: 2, lat: 96, lon: 192)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] ...\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening the gcm mpi data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/GCM/MPI-ESM-MR/pr_Amon_MPI-ESM-MR_historical_r1i1p1_185001-200512.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       ".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: 299, bnds: 2, lat: 96, lon: 192)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-11-16\n",
       "  * lat        (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2005-12-01\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -87.65 -87.65 ... 87.65 87.65 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f76a6464-e427-4a9d-854d-b5fe85219ebe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f76a6464-e427-4a9d-854d-b5fe85219ebe' 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>: 299</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89171300-a7c5-4e27-bfaa-422fa5a49d85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89171300-a7c5-4e27-bfaa-422fa5a49d85' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-16T12:00:00 ... 2005-11-16</div><input id='attrs-02d580ea-21ee-492f-b527-9cfb02ef4959' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02d580ea-21ee-492f-b527-9cfb02ef4959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c9d3d6d-8162-40f3-a851-05afb5e020e2' class='xr-var-data-in' type='checkbox'><label for='data-8c9d3d6d-8162-40f3-a851-05afb5e020e2' title='Show/Hide data 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([&#x27;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-16T12:00:00.000000000&#x27;, &#x27;2005-11-16T00:00:00.000000000&#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'>-88.57 -86.72 ... 86.72 88.57</div><input id='attrs-61a7adb6-d84b-43e6-a951-fc758bcc15ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61a7adb6-d84b-43e6-a951-fc758bcc15ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a0977d8-7889-4d83-9c6e-8e9886cb8fbf' class='xr-var-data-in' type='checkbox'><label for='data-5a0977d8-7889-4d83-9c6e-8e9886cb8fbf' title='Show/Hide data 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([-88.572166, -86.722534, -84.861969, -82.99894 , -81.134979, -79.270561,\n",
       "       -77.405891, -75.541061, -73.676132, -71.811134, -69.946083, -68.080994,\n",
       "       -66.215874, -64.350731, -62.485569, -60.620396, -58.755211, -56.890015,\n",
       "       -55.024807, -53.159595, -51.294376, -49.429153, -47.563927, -45.698692,\n",
       "       -43.833458, -41.96822 , -40.102978, -38.237736, -36.37249 , -34.507244,\n",
       "       -32.641994, -30.776745, -28.911493, -27.04624 , -25.180986, -23.315731,\n",
       "       -21.450476, -19.585218, -17.719961, -15.854704, -13.989446, -12.124187,\n",
       "       -10.258928,  -8.393669,  -6.528409,  -4.66315 ,  -2.79789 ,  -0.93263 ,\n",
       "         0.93263 ,   2.79789 ,   4.66315 ,   6.528409,   8.393669,  10.258928,\n",
       "        12.124187,  13.989446,  15.854704,  17.719961,  19.585218,  21.450476,\n",
       "        23.315731,  25.180986,  27.04624 ,  28.911493,  30.776745,  32.641994,\n",
       "        34.507244,  36.37249 ,  38.237736,  40.102978,  41.96822 ,  43.833458,\n",
       "        45.698692,  47.563927,  49.429153,  51.294376,  53.159595,  55.024807,\n",
       "        56.890011,  58.755211,  60.620396,  62.485569,  64.350731,  66.215874,\n",
       "        68.080994,  69.946083,  71.811134,  73.676132,  75.541061,  77.405891,\n",
       "        79.270561,  81.134979,  82.99894 ,  84.861969,  86.722534,  88.572166])</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 1.875 3.75 ... 356.2 358.1</div><input id='attrs-5604d254-936f-4ae3-86f6-556e1757ac4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5604d254-936f-4ae3-86f6-556e1757ac4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eabcf851-d17c-430c-9771-3a7b310b10d5' class='xr-var-data-in' type='checkbox'><label for='data-eabcf851-d17c-430c-9771-3a7b310b10d5' title='Show/Hide data 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.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b4806d7-b6e2-499b-8d93-7d443b6412a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b4806d7-b6e2-499b-8d93-7d443b6412a4' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2005-12-01</div><input id='attrs-1ff60f19-de77-4328-ba6a-8767746923b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ff60f19-de77-4328-ba6a-8767746923b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f076fc46-2a65-4d00-93c4-f7de5b7bfe93' class='xr-var-data-in' type='checkbox'><label for='data-f076fc46-2a65-4d00-93c4-f7de5b7bfe93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-03-01T00:00:00.000000000&#x27;, &#x27;1981-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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 -87.65 -87.65 ... 87.65 90.0</div><input id='attrs-b20bf606-3f41-4456-b484-2428873d3628' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b20bf606-3f41-4456-b484-2428873d3628' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad2751ac-f49f-4676-aaae-4878ba7bf9c3' class='xr-var-data-in' type='checkbox'><label for='data-ad2751ac-f49f-4676-aaae-4878ba7bf9c3' title='Show/Hide data 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([[-9.000000e+01, -8.764735e+01],\n",
       "       [-8.764735e+01, -8.579225e+01],\n",
       "       [-8.579225e+01, -8.393045e+01],\n",
       "       [-8.393045e+01, -8.206696e+01],\n",
       "       [-8.206696e+01, -8.020277e+01],\n",
       "       [-8.020277e+01, -7.833823e+01],\n",
       "       [-7.833823e+01, -7.647348e+01],\n",
       "       [-7.647348e+01, -7.460860e+01],\n",
       "       [-7.460860e+01, -7.274363e+01],\n",
       "       [-7.274363e+01, -7.087861e+01],\n",
       "       [-7.087861e+01, -6.901354e+01],\n",
       "       [-6.901354e+01, -6.714843e+01],\n",
       "       [-6.714843e+01, -6.528330e+01],\n",
       "       [-6.528330e+01, -6.341815e+01],\n",
       "       [-6.341815e+01, -6.155298e+01],\n",
       "       [-6.155298e+01, -5.968780e+01],\n",
       "       [-5.968780e+01, -5.782261e+01],\n",
       "       [-5.782261e+01, -5.595741e+01],\n",
       "       [-5.595741e+01, -5.409220e+01],\n",
       "       [-5.409220e+01, -5.222699e+01],\n",
       "       [-5.222699e+01, -5.036176e+01],\n",
       "       [-5.036176e+01, -4.849654e+01],\n",
       "       [-4.849654e+01, -4.663131e+01],\n",
       "       [-4.663131e+01, -4.476608e+01],\n",
       "       [-4.476608e+01, -4.290084e+01],\n",
       "       [-4.290084e+01, -4.103560e+01],\n",
       "       [-4.103560e+01, -3.917036e+01],\n",
       "       [-3.917036e+01, -3.730511e+01],\n",
       "       [-3.730511e+01, -3.543987e+01],\n",
       "       [-3.543987e+01, -3.357462e+01],\n",
       "       [-3.357462e+01, -3.170937e+01],\n",
       "       [-3.170937e+01, -2.984412e+01],\n",
       "       [-2.984412e+01, -2.797887e+01],\n",
       "       [-2.797887e+01, -2.611361e+01],\n",
       "       [-2.611361e+01, -2.424836e+01],\n",
       "       [-2.424836e+01, -2.238310e+01],\n",
       "       [-2.238310e+01, -2.051785e+01],\n",
       "       [-2.051785e+01, -1.865259e+01],\n",
       "       [-1.865259e+01, -1.678733e+01],\n",
       "       [-1.678733e+01, -1.492207e+01],\n",
       "       [-1.492207e+01, -1.305682e+01],\n",
       "       [-1.305682e+01, -1.119156e+01],\n",
       "       [-1.119156e+01, -9.326299e+00],\n",
       "       [-9.326299e+00, -7.461039e+00],\n",
       "       [-7.461039e+00, -5.595780e+00],\n",
       "       [-5.595780e+00, -3.730520e+00],\n",
       "       [-3.730520e+00, -1.865260e+00],\n",
       "       [-1.865260e+00, -5.960464e-08],\n",
       "       [-5.960464e-08,  1.865260e+00],\n",
       "       [ 1.865260e+00,  3.730520e+00],\n",
       "       [ 3.730520e+00,  5.595780e+00],\n",
       "       [ 5.595780e+00,  7.461039e+00],\n",
       "       [ 7.461039e+00,  9.326299e+00],\n",
       "       [ 9.326299e+00,  1.119156e+01],\n",
       "       [ 1.119156e+01,  1.305682e+01],\n",
       "       [ 1.305682e+01,  1.492207e+01],\n",
       "       [ 1.492207e+01,  1.678733e+01],\n",
       "       [ 1.678733e+01,  1.865259e+01],\n",
       "       [ 1.865259e+01,  2.051785e+01],\n",
       "       [ 2.051785e+01,  2.238310e+01],\n",
       "       [ 2.238310e+01,  2.424836e+01],\n",
       "       [ 2.424836e+01,  2.611361e+01],\n",
       "       [ 2.611361e+01,  2.797887e+01],\n",
       "       [ 2.797887e+01,  2.984412e+01],\n",
       "       [ 2.984412e+01,  3.170937e+01],\n",
       "       [ 3.170937e+01,  3.357462e+01],\n",
       "       [ 3.357462e+01,  3.543987e+01],\n",
       "       [ 3.543987e+01,  3.730511e+01],\n",
       "       [ 3.730511e+01,  3.917036e+01],\n",
       "       [ 3.917036e+01,  4.103560e+01],\n",
       "       [ 4.103560e+01,  4.290084e+01],\n",
       "       [ 4.290084e+01,  4.476608e+01],\n",
       "       [ 4.476608e+01,  4.663131e+01],\n",
       "       [ 4.663131e+01,  4.849654e+01],\n",
       "       [ 4.849654e+01,  5.036176e+01],\n",
       "       [ 5.036176e+01,  5.222699e+01],\n",
       "       [ 5.222699e+01,  5.409220e+01],\n",
       "       [ 5.409220e+01,  5.595741e+01],\n",
       "       [ 5.595741e+01,  5.782261e+01],\n",
       "       [ 5.782261e+01,  5.968780e+01],\n",
       "       [ 5.968780e+01,  6.155298e+01],\n",
       "       [ 6.155298e+01,  6.341815e+01],\n",
       "       [ 6.341815e+01,  6.528330e+01],\n",
       "       [ 6.528330e+01,  6.714843e+01],\n",
       "       [ 6.714843e+01,  6.901354e+01],\n",
       "       [ 6.901354e+01,  7.087861e+01],\n",
       "       [ 7.087861e+01,  7.274363e+01],\n",
       "       [ 7.274363e+01,  7.460860e+01],\n",
       "       [ 7.460860e+01,  7.647348e+01],\n",
       "       [ 7.647348e+01,  7.833823e+01],\n",
       "       [ 7.833823e+01,  8.020277e+01],\n",
       "       [ 8.020277e+01,  8.206696e+01],\n",
       "       [ 8.206696e+01,  8.393045e+01],\n",
       "       [ 8.393045e+01,  8.579225e+01],\n",
       "       [ 8.579225e+01,  8.764735e+01],\n",
       "       [ 8.764735e+01,  9.000000e+01]])</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'>-0.9375 0.9375 ... 357.2 359.1</div><input id='attrs-b2bb0955-f395-4bcb-af4f-561b9df1b152' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2bb0955-f395-4bcb-af4f-561b9df1b152' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-246b57a7-5cb5-401c-91a9-0812279e3b79' class='xr-var-data-in' type='checkbox'><label for='data-246b57a7-5cb5-401c-91a9-0812279e3b79' title='Show/Hide data 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([[ -0.9375,   0.9375],\n",
       "       [  0.9375,   2.8125],\n",
       "       [  2.8125,   4.6875],\n",
       "       ...,\n",
       "       [353.4375, 355.3125],\n",
       "       [355.3125, 357.1875],\n",
       "       [357.1875, 359.0625]])</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-f16d6418-bf12-4ca9-ba6c-e97314e90070' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f16d6418-bf12-4ca9-ba6c-e97314e90070' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-256f4e27-96a5-4470-9040-3aa0ae175559' class='xr-var-data-in' type='checkbox'><label for='data-256f4e27-96a5-4470-9040-3aa0ae175559' title='Show/Hide data 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-08T16:30:02Z altered by CMOR: replaced missing value flag (2e+20) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MPI-ESM-MR_historical_r0i0p0.nc areacella: areacella_fx_MPI-ESM-MR_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[5511168 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50ada401-a000-4151-9d03-92a06f072c4b' class='xr-section-summary-in' type='checkbox'  ><label for='section-50ada401-a000-4151-9d03-92a06f072c4b' 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>Max Planck Institute for Meteorology</dd><dt><span>institute_id :</span></dt><dd>MPI-M</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4936), T63L47; land: JSBACH (REV: 4936); ocean: MPIOM (REV: 4936), GR15L40; sea ice: 4936; marine bgc: HAMOCC (REV: 4936);</dd><dt><span>model_id :</span></dt><dd>MPI-ESM-MR</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SD,Sl,Vl,LU</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cmip5-mpi-esm@dkrz.de</dd><dt><span>history :</span></dt><dd>Model raw output postprocessing with modelling environment (IMDI) at DKRZ: URL: http://svn-mad.zmaw.de/svn/mad/Model/IMDI/trunk, REV: 3911 2011-10-08T16:30:02Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty first century? Climate Dynamics, 29, 565-574, doi 10.1007/s00382-007-0247-8;  MPIOM: Marsland et al., 2003. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91-127;  HAMOCC: Technical Documentation, http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;</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>f94bedfd-180d-43ad-b12d-99f102968059</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>2011-10-08T16:30:02Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>MPI-ESM-MR model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 299, bnds: 2, lat: 96, lon: 192)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2005-11-16\n",
       "  * lat        (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2005-12-01\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -87.65 -87.65 ... 87.65 87.65 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 10,
     "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','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, bnds: 2, lat: 96, lon: 192)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * lat        (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-10-01\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -87.65 -87.65 ... 87.65 87.65 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ad0110b2-1583-4d00-ac8a-cf519b41ced6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad0110b2-1583-4d00-ac8a-cf519b41ced6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 100</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09cd636f-3a0a-4255-b254-73eda595ff1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09cd636f-3a0a-4255-b254-73eda595ff1e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2005-09-16</div><input id='attrs-29849a04-3fe6-4df3-9295-9c83ae767e64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29849a04-3fe6-4df3-9295-9c83ae767e64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d912ab6-783b-4644-ba1a-02a0212b23bc' class='xr-var-data-in' type='checkbox'><label for='data-9d912ab6-783b-4644-ba1a-02a0212b23bc' title='Show/Hide data 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([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.57 -86.72 ... 86.72 88.57</div><input id='attrs-04939e31-a3a4-4af6-bffe-0bc2eea8517d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04939e31-a3a4-4af6-bffe-0bc2eea8517d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-026dde69-1c2d-4ca3-8f5b-a552f80e1d5a' class='xr-var-data-in' type='checkbox'><label for='data-026dde69-1c2d-4ca3-8f5b-a552f80e1d5a' title='Show/Hide data 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([-88.572166, -86.722534, -84.861969, -82.99894 , -81.134979, -79.270561,\n",
       "       -77.405891, -75.541061, -73.676132, -71.811134, -69.946083, -68.080994,\n",
       "       -66.215874, -64.350731, -62.485569, -60.620396, -58.755211, -56.890015,\n",
       "       -55.024807, -53.159595, -51.294376, -49.429153, -47.563927, -45.698692,\n",
       "       -43.833458, -41.96822 , -40.102978, -38.237736, -36.37249 , -34.507244,\n",
       "       -32.641994, -30.776745, -28.911493, -27.04624 , -25.180986, -23.315731,\n",
       "       -21.450476, -19.585218, -17.719961, -15.854704, -13.989446, -12.124187,\n",
       "       -10.258928,  -8.393669,  -6.528409,  -4.66315 ,  -2.79789 ,  -0.93263 ,\n",
       "         0.93263 ,   2.79789 ,   4.66315 ,   6.528409,   8.393669,  10.258928,\n",
       "        12.124187,  13.989446,  15.854704,  17.719961,  19.585218,  21.450476,\n",
       "        23.315731,  25.180986,  27.04624 ,  28.911493,  30.776745,  32.641994,\n",
       "        34.507244,  36.37249 ,  38.237736,  40.102978,  41.96822 ,  43.833458,\n",
       "        45.698692,  47.563927,  49.429153,  51.294376,  53.159595,  55.024807,\n",
       "        56.890011,  58.755211,  60.620396,  62.485569,  64.350731,  66.215874,\n",
       "        68.080994,  69.946083,  71.811134,  73.676132,  75.541061,  77.405891,\n",
       "        79.270561,  81.134979,  82.99894 ,  84.861969,  86.722534,  88.572166])</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 1.875 3.75 ... 356.2 358.1</div><input id='attrs-fdbbdcb5-18de-429f-8aca-fb5f3404434d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdbbdcb5-18de-429f-8aca-fb5f3404434d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc462088-0836-46f4-9062-50e28597e052' class='xr-var-data-in' type='checkbox'><label for='data-cc462088-0836-46f4-9062-50e28597e052' title='Show/Hide data 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.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cac2e803-7c6d-4425-8c4e-d3b5f5d6ab99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cac2e803-7c6d-4425-8c4e-d3b5f5d6ab99' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-10-01</div><input id='attrs-4f336ce7-8373-4d93-bfbc-d144be943ab7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f336ce7-8373-4d93-bfbc-d144be943ab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3f0cab3-9cb0-4abd-9444-8a5341ef7861' class='xr-var-data-in' type='checkbox'><label for='data-f3f0cab3-9cb0-4abd-9444-8a5341ef7861' title='Show/Hide data 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;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-07-01T00:00:00.000000000&#x27;, &#x27;1981-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-09-01T00:00:00.000000000&#x27;, &#x27;1981-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-07-01T00:00:00.000000000&#x27;, &#x27;1982-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-09-01T00:00:00.000000000&#x27;, &#x27;1982-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-07-01T00:00:00.000000000&#x27;, &#x27;1983-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-09-01T00:00:00.000000000&#x27;, &#x27;1983-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-07-01T00:00:00.000000000&#x27;, &#x27;1984-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-09-01T00:00:00.000000000&#x27;, &#x27;1984-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-07-01T00:00:00.000000000&#x27;, &#x27;1985-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-09-01T00:00:00.000000000&#x27;, &#x27;1985-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-07-01T00:00:00.000000000&#x27;, &#x27;1986-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-09-01T00:00:00.000000000&#x27;, &#x27;1986-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-07-01T00:00:00.000000000&#x27;, &#x27;1987-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-09-01T00:00:00.000000000&#x27;, &#x27;1987-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-07-01T00:00:00.000000000&#x27;, &#x27;1988-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-09-01T00:00:00.000000000&#x27;, &#x27;1988-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-07-01T00:00:00.000000000&#x27;, &#x27;1989-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-09-01T00:00:00.000000000&#x27;, &#x27;1989-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-07-01T00:00:00.000000000&#x27;, &#x27;1990-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-09-01T00:00:00.000000000&#x27;, &#x27;1990-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-07-01T00:00:00.000000000&#x27;, &#x27;1991-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-09-01T00:00:00.000000000&#x27;, &#x27;1991-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-07-01T00:00:00.000000000&#x27;, &#x27;1992-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-09-01T00:00:00.000000000&#x27;, &#x27;1992-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-07-01T00:00:00.000000000&#x27;, &#x27;1993-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-09-01T00:00:00.000000000&#x27;, &#x27;1993-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-07-01T00:00:00.000000000&#x27;, &#x27;1994-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-09-01T00:00:00.000000000&#x27;, &#x27;1994-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-07-01T00:00:00.000000000&#x27;, &#x27;1995-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-09-01T00:00:00.000000000&#x27;, &#x27;1995-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-07-01T00:00:00.000000000&#x27;, &#x27;1996-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-09-01T00:00:00.000000000&#x27;, &#x27;1996-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-07-01T00:00:00.000000000&#x27;, &#x27;1997-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-09-01T00:00:00.000000000&#x27;, &#x27;1997-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1998-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-09-01T00:00:00.000000000&#x27;, &#x27;1998-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-07-01T00:00:00.000000000&#x27;, &#x27;1999-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-09-01T00:00:00.000000000&#x27;, &#x27;1999-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-09-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-09-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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 -87.65 -87.65 ... 87.65 90.0</div><input id='attrs-4104b3c6-2b98-45d6-b373-c0f8e85254b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4104b3c6-2b98-45d6-b373-c0f8e85254b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fecb90c-29fe-47d2-85b2-3c0137391959' class='xr-var-data-in' type='checkbox'><label for='data-9fecb90c-29fe-47d2-85b2-3c0137391959' title='Show/Hide data 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([[-9.000000e+01, -8.764735e+01],\n",
       "       [-8.764735e+01, -8.579225e+01],\n",
       "       [-8.579225e+01, -8.393045e+01],\n",
       "       [-8.393045e+01, -8.206696e+01],\n",
       "       [-8.206696e+01, -8.020277e+01],\n",
       "       [-8.020277e+01, -7.833823e+01],\n",
       "       [-7.833823e+01, -7.647348e+01],\n",
       "       [-7.647348e+01, -7.460860e+01],\n",
       "       [-7.460860e+01, -7.274363e+01],\n",
       "       [-7.274363e+01, -7.087861e+01],\n",
       "       [-7.087861e+01, -6.901354e+01],\n",
       "       [-6.901354e+01, -6.714843e+01],\n",
       "       [-6.714843e+01, -6.528330e+01],\n",
       "       [-6.528330e+01, -6.341815e+01],\n",
       "       [-6.341815e+01, -6.155298e+01],\n",
       "       [-6.155298e+01, -5.968780e+01],\n",
       "       [-5.968780e+01, -5.782261e+01],\n",
       "       [-5.782261e+01, -5.595741e+01],\n",
       "       [-5.595741e+01, -5.409220e+01],\n",
       "       [-5.409220e+01, -5.222699e+01],\n",
       "       [-5.222699e+01, -5.036176e+01],\n",
       "       [-5.036176e+01, -4.849654e+01],\n",
       "       [-4.849654e+01, -4.663131e+01],\n",
       "       [-4.663131e+01, -4.476608e+01],\n",
       "       [-4.476608e+01, -4.290084e+01],\n",
       "       [-4.290084e+01, -4.103560e+01],\n",
       "       [-4.103560e+01, -3.917036e+01],\n",
       "       [-3.917036e+01, -3.730511e+01],\n",
       "       [-3.730511e+01, -3.543987e+01],\n",
       "       [-3.543987e+01, -3.357462e+01],\n",
       "       [-3.357462e+01, -3.170937e+01],\n",
       "       [-3.170937e+01, -2.984412e+01],\n",
       "       [-2.984412e+01, -2.797887e+01],\n",
       "       [-2.797887e+01, -2.611361e+01],\n",
       "       [-2.611361e+01, -2.424836e+01],\n",
       "       [-2.424836e+01, -2.238310e+01],\n",
       "       [-2.238310e+01, -2.051785e+01],\n",
       "       [-2.051785e+01, -1.865259e+01],\n",
       "       [-1.865259e+01, -1.678733e+01],\n",
       "       [-1.678733e+01, -1.492207e+01],\n",
       "       [-1.492207e+01, -1.305682e+01],\n",
       "       [-1.305682e+01, -1.119156e+01],\n",
       "       [-1.119156e+01, -9.326299e+00],\n",
       "       [-9.326299e+00, -7.461039e+00],\n",
       "       [-7.461039e+00, -5.595780e+00],\n",
       "       [-5.595780e+00, -3.730520e+00],\n",
       "       [-3.730520e+00, -1.865260e+00],\n",
       "       [-1.865260e+00, -5.960464e-08],\n",
       "       [-5.960464e-08,  1.865260e+00],\n",
       "       [ 1.865260e+00,  3.730520e+00],\n",
       "       [ 3.730520e+00,  5.595780e+00],\n",
       "       [ 5.595780e+00,  7.461039e+00],\n",
       "       [ 7.461039e+00,  9.326299e+00],\n",
       "       [ 9.326299e+00,  1.119156e+01],\n",
       "       [ 1.119156e+01,  1.305682e+01],\n",
       "       [ 1.305682e+01,  1.492207e+01],\n",
       "       [ 1.492207e+01,  1.678733e+01],\n",
       "       [ 1.678733e+01,  1.865259e+01],\n",
       "       [ 1.865259e+01,  2.051785e+01],\n",
       "       [ 2.051785e+01,  2.238310e+01],\n",
       "       [ 2.238310e+01,  2.424836e+01],\n",
       "       [ 2.424836e+01,  2.611361e+01],\n",
       "       [ 2.611361e+01,  2.797887e+01],\n",
       "       [ 2.797887e+01,  2.984412e+01],\n",
       "       [ 2.984412e+01,  3.170937e+01],\n",
       "       [ 3.170937e+01,  3.357462e+01],\n",
       "       [ 3.357462e+01,  3.543987e+01],\n",
       "       [ 3.543987e+01,  3.730511e+01],\n",
       "       [ 3.730511e+01,  3.917036e+01],\n",
       "       [ 3.917036e+01,  4.103560e+01],\n",
       "       [ 4.103560e+01,  4.290084e+01],\n",
       "       [ 4.290084e+01,  4.476608e+01],\n",
       "       [ 4.476608e+01,  4.663131e+01],\n",
       "       [ 4.663131e+01,  4.849654e+01],\n",
       "       [ 4.849654e+01,  5.036176e+01],\n",
       "       [ 5.036176e+01,  5.222699e+01],\n",
       "       [ 5.222699e+01,  5.409220e+01],\n",
       "       [ 5.409220e+01,  5.595741e+01],\n",
       "       [ 5.595741e+01,  5.782261e+01],\n",
       "       [ 5.782261e+01,  5.968780e+01],\n",
       "       [ 5.968780e+01,  6.155298e+01],\n",
       "       [ 6.155298e+01,  6.341815e+01],\n",
       "       [ 6.341815e+01,  6.528330e+01],\n",
       "       [ 6.528330e+01,  6.714843e+01],\n",
       "       [ 6.714843e+01,  6.901354e+01],\n",
       "       [ 6.901354e+01,  7.087861e+01],\n",
       "       [ 7.087861e+01,  7.274363e+01],\n",
       "       [ 7.274363e+01,  7.460860e+01],\n",
       "       [ 7.460860e+01,  7.647348e+01],\n",
       "       [ 7.647348e+01,  7.833823e+01],\n",
       "       [ 7.833823e+01,  8.020277e+01],\n",
       "       [ 8.020277e+01,  8.206696e+01],\n",
       "       [ 8.206696e+01,  8.393045e+01],\n",
       "       [ 8.393045e+01,  8.579225e+01],\n",
       "       [ 8.579225e+01,  8.764735e+01],\n",
       "       [ 8.764735e+01,  9.000000e+01]])</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'>-0.9375 0.9375 ... 357.2 359.1</div><input id='attrs-819c3f46-4301-4549-9a24-3597c8d50cfa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-819c3f46-4301-4549-9a24-3597c8d50cfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b63a15ea-d3fa-4ff7-aaec-6aee13a8d968' class='xr-var-data-in' type='checkbox'><label for='data-b63a15ea-d3fa-4ff7-aaec-6aee13a8d968' title='Show/Hide data 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([[ -0.9375,   0.9375],\n",
       "       [  0.9375,   2.8125],\n",
       "       [  2.8125,   4.6875],\n",
       "       ...,\n",
       "       [353.4375, 355.3125],\n",
       "       [355.3125, 357.1875],\n",
       "       [357.1875, 359.0625]])</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-8eaea9fa-2ad4-4d37-ab2f-2f03a594fcd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8eaea9fa-2ad4-4d37-ab2f-2f03a594fcd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f3632a4-abbd-43b6-b41f-3443a625bc63' class='xr-var-data-in' type='checkbox'><label for='data-0f3632a4-abbd-43b6-b41f-3443a625bc63' title='Show/Hide data 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-08T16:30:02Z altered by CMOR: replaced missing value flag (2e+20) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MPI-ESM-MR_historical_r0i0p0.nc areacella: areacella_fx_MPI-ESM-MR_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[1843200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90cf8ad2-43ac-410b-ba7e-0263f738de30' class='xr-section-summary-in' type='checkbox'  ><label for='section-90cf8ad2-43ac-410b-ba7e-0263f738de30' 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>Max Planck Institute for Meteorology</dd><dt><span>institute_id :</span></dt><dd>MPI-M</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4936), T63L47; land: JSBACH (REV: 4936); ocean: MPIOM (REV: 4936), GR15L40; sea ice: 4936; marine bgc: HAMOCC (REV: 4936);</dd><dt><span>model_id :</span></dt><dd>MPI-ESM-MR</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SD,Sl,Vl,LU</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cmip5-mpi-esm@dkrz.de</dd><dt><span>history :</span></dt><dd>Model raw output postprocessing with modelling environment (IMDI) at DKRZ: URL: http://svn-mad.zmaw.de/svn/mad/Model/IMDI/trunk, REV: 3911 2011-10-08T16:30:02Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty first century? Climate Dynamics, 29, 565-574, doi 10.1007/s00382-007-0247-8;  MPIOM: Marsland et al., 2003. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91-127;  HAMOCC: Technical Documentation, http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;</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>f94bedfd-180d-43ad-b12d-99f102968059</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>2011-10-08T16:30:02Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>MPI-ESM-MR model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, bnds: 2, lat: 96, lon: 192)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * lat        (lat) float64 -88.57 -86.72 -84.86 -83.0 ... 84.86 86.72 88.57\n",
       "  * lon        (lon) float64 0.0 1.875 3.75 5.625 ... 352.5 354.4 356.2 358.1\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-10-01\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -87.65 -87.65 ... 87.65 87.65 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 11,
     "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": 12,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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": 14,
   "id": "e122bb86",
   "metadata": {},
   "outputs": [
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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.Dataset&gt;\n",
       "Dimensions:    (time: 100, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * lon        (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-10-01\n",
       "    lat_bnds   (lat, bnds) float64 17.19 19.06 17.44 19.31 ... 28.56 26.94 28.81\n",
       "    lon_bnds   (lon, bnds) float64 85.19 87.06 85.44 87.31 ... 94.56 92.94 94.81\n",
       "    pr         (time, lat, lon) float64 9.057e-05 9.775e-05 ... 0.0001983\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6761e91c-0616-437e-b0ae-41512321258b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6761e91c-0616-437e-b0ae-41512321258b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 100</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>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-16132a81-bbe8-4d75-8f40-1eacb10361a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-16132a81-bbe8-4d75-8f40-1eacb10361a7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2005-09-16</div><input id='attrs-1650f006-1e8e-4f7f-b63e-b89d3f96fab4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1650f006-1e8e-4f7f-b63e-b89d3f96fab4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-838c7803-f93a-423c-9bb4-d06909957e8a' class='xr-var-data-in' type='checkbox'><label for='data-838c7803-f93a-423c-9bb4-d06909957e8a' title='Show/Hide data 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([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-d931ccf0-6aa7-44b7-9586-2d384f44d168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d931ccf0-6aa7-44b7-9586-2d384f44d168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61fbdac5-49da-4b91-92ea-3fbfe88d0595' class='xr-var-data-in' type='checkbox'><label for='data-61fbdac5-49da-4b91-92ea-3fbfe88d0595' title='Show/Hide data 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-e3f754f7-87ca-47cc-b75e-2698d8aab39b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3f754f7-87ca-47cc-b75e-2698d8aab39b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c166d8a0-eed2-482f-810f-0bc76e2718a7' class='xr-var-data-in' type='checkbox'><label for='data-c166d8a0-eed2-482f-810f-0bc76e2718a7' title='Show/Hide data 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-22f040d7-920d-4494-adb0-fd3d55455816' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22f040d7-920d-4494-adb0-fd3d55455816' 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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-01 ... 2005-10-01</div><input id='attrs-6b3bd442-369f-4b9a-9838-8591e1c14c6c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b3bd442-369f-4b9a-9838-8591e1c14c6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2e0bed0-e26b-46fd-ae2c-7a09e14b2bc2' class='xr-var-data-in' type='checkbox'><label for='data-d2e0bed0-e26b-46fd-ae2c-7a09e14b2bc2' title='Show/Hide data 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;1981-06-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-07-01T00:00:00.000000000&#x27;, &#x27;1981-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-08-01T00:00:00.000000000&#x27;, &#x27;1981-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-09-01T00:00:00.000000000&#x27;, &#x27;1981-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-06-01T00:00:00.000000000&#x27;, &#x27;1982-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-07-01T00:00:00.000000000&#x27;, &#x27;1982-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-08-01T00:00:00.000000000&#x27;, &#x27;1982-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1982-09-01T00:00:00.000000000&#x27;, &#x27;1982-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-06-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-07-01T00:00:00.000000000&#x27;, &#x27;1983-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-08-01T00:00:00.000000000&#x27;, &#x27;1983-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1983-09-01T00:00:00.000000000&#x27;, &#x27;1983-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-06-01T00:00:00.000000000&#x27;, &#x27;1984-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-07-01T00:00:00.000000000&#x27;, &#x27;1984-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-08-01T00:00:00.000000000&#x27;, &#x27;1984-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1984-09-01T00:00:00.000000000&#x27;, &#x27;1984-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-06-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-07-01T00:00:00.000000000&#x27;, &#x27;1985-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-08-01T00:00:00.000000000&#x27;, &#x27;1985-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1985-09-01T00:00:00.000000000&#x27;, &#x27;1985-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-06-01T00:00:00.000000000&#x27;, &#x27;1986-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-07-01T00:00:00.000000000&#x27;, &#x27;1986-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-08-01T00:00:00.000000000&#x27;, &#x27;1986-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1986-09-01T00:00:00.000000000&#x27;, &#x27;1986-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-06-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-07-01T00:00:00.000000000&#x27;, &#x27;1987-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-08-01T00:00:00.000000000&#x27;, &#x27;1987-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1987-09-01T00:00:00.000000000&#x27;, &#x27;1987-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-06-01T00:00:00.000000000&#x27;, &#x27;1988-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-07-01T00:00:00.000000000&#x27;, &#x27;1988-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-08-01T00:00:00.000000000&#x27;, &#x27;1988-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1988-09-01T00:00:00.000000000&#x27;, &#x27;1988-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-06-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-07-01T00:00:00.000000000&#x27;, &#x27;1989-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-08-01T00:00:00.000000000&#x27;, &#x27;1989-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1989-09-01T00:00:00.000000000&#x27;, &#x27;1989-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-06-01T00:00:00.000000000&#x27;, &#x27;1990-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-07-01T00:00:00.000000000&#x27;, &#x27;1990-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-08-01T00:00:00.000000000&#x27;, &#x27;1990-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1990-09-01T00:00:00.000000000&#x27;, &#x27;1990-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-06-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-07-01T00:00:00.000000000&#x27;, &#x27;1991-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-08-01T00:00:00.000000000&#x27;, &#x27;1991-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1991-09-01T00:00:00.000000000&#x27;, &#x27;1991-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-06-01T00:00:00.000000000&#x27;, &#x27;1992-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-07-01T00:00:00.000000000&#x27;, &#x27;1992-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-08-01T00:00:00.000000000&#x27;, &#x27;1992-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1992-09-01T00:00:00.000000000&#x27;, &#x27;1992-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-06-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-07-01T00:00:00.000000000&#x27;, &#x27;1993-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-08-01T00:00:00.000000000&#x27;, &#x27;1993-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1993-09-01T00:00:00.000000000&#x27;, &#x27;1993-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-06-01T00:00:00.000000000&#x27;, &#x27;1994-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-07-01T00:00:00.000000000&#x27;, &#x27;1994-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-08-01T00:00:00.000000000&#x27;, &#x27;1994-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1994-09-01T00:00:00.000000000&#x27;, &#x27;1994-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-06-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-07-01T00:00:00.000000000&#x27;, &#x27;1995-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-08-01T00:00:00.000000000&#x27;, &#x27;1995-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1995-09-01T00:00:00.000000000&#x27;, &#x27;1995-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-06-01T00:00:00.000000000&#x27;, &#x27;1996-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-07-01T00:00:00.000000000&#x27;, &#x27;1996-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-08-01T00:00:00.000000000&#x27;, &#x27;1996-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1996-09-01T00:00:00.000000000&#x27;, &#x27;1996-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-06-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-07-01T00:00:00.000000000&#x27;, &#x27;1997-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-08-01T00:00:00.000000000&#x27;, &#x27;1997-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1997-09-01T00:00:00.000000000&#x27;, &#x27;1997-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1998-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-09-01T00:00:00.000000000&#x27;, &#x27;1998-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-07-01T00:00:00.000000000&#x27;, &#x27;1999-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-09-01T00:00:00.000000000&#x27;, &#x27;1999-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-09-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-09-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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'>17.19 19.06 17.44 ... 26.94 28.81</div><input id='attrs-4b9125b8-ba2c-4536-bceb-542c378aaead' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b9125b8-ba2c-4536-bceb-542c378aaead' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6a36dec-5be1-48ca-9402-bf4977bdbe59' class='xr-var-data-in' type='checkbox'><label for='data-f6a36dec-5be1-48ca-9402-bf4977bdbe59' title='Show/Hide data 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([[17.19237137, 19.05762863],\n",
       "       [17.44237137, 19.30762863],\n",
       "       [17.69237137, 19.55762863],\n",
       "       [17.94237137, 19.80762863],\n",
       "       [18.19237137, 20.05762863],\n",
       "       [18.44237137, 20.30762863],\n",
       "       [18.69237137, 20.55762861],\n",
       "       [18.94237137, 20.80762848],\n",
       "       [19.19237137, 21.05762836],\n",
       "       [19.44237137, 21.30762823],\n",
       "       [19.69237137, 21.5576281 ],\n",
       "       [19.94237137, 21.80762797],\n",
       "       [20.19237137, 22.05762784],\n",
       "       [20.44237137, 22.30762772],\n",
       "       [20.69237146, 22.55762768],\n",
       "       [20.94237159, 22.80762768],\n",
       "       [21.19237171, 23.05762768],\n",
       "       [21.44237184, 23.30762768],\n",
       "       [21.69237197, 23.55762768],\n",
       "       [21.9423721 , 23.80762768],\n",
       "       [22.19237222, 24.05762768],\n",
       "       [22.44237232, 24.30762765],\n",
       "       [22.69237232, 24.55762752],\n",
       "       [22.94237232, 24.80762739],\n",
       "       [23.19237232, 25.05762726],\n",
       "       [23.44237232, 25.30762714],\n",
       "       [23.69237232, 25.55762701],\n",
       "       [23.94237232, 25.80762688],\n",
       "       [24.19237232, 26.05762675],\n",
       "       [24.44237242, 26.30762672],\n",
       "       [24.69237255, 26.55762672],\n",
       "       [24.94237268, 26.80762672],\n",
       "       [25.1923728 , 27.05762672],\n",
       "       [25.44237293, 27.30762672],\n",
       "       [25.69237306, 27.55762672],\n",
       "       [25.94237319, 27.80762672],\n",
       "       [26.19237328, 28.05762668],\n",
       "       [26.44237328, 28.30762656],\n",
       "       [26.69237328, 28.55762643],\n",
       "       [26.94237328, 28.8076263 ]])</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'>85.19 87.06 85.44 ... 92.94 94.81</div><input id='attrs-6607a2dd-0212-4611-a1e5-b6bb6e4ff2b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6607a2dd-0212-4611-a1e5-b6bb6e4ff2b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57f0a461-9a70-4d16-9124-5c2a23e163bb' class='xr-var-data-in' type='checkbox'><label for='data-57f0a461-9a70-4d16-9124-5c2a23e163bb' title='Show/Hide data 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([[85.1875, 87.0625],\n",
       "       [85.4375, 87.3125],\n",
       "       [85.6875, 87.5625],\n",
       "       [85.9375, 87.8125],\n",
       "       [86.1875, 88.0625],\n",
       "       [86.4375, 88.3125],\n",
       "       [86.6875, 88.5625],\n",
       "       [86.9375, 88.8125],\n",
       "       [87.1875, 89.0625],\n",
       "       [87.4375, 89.3125],\n",
       "       [87.6875, 89.5625],\n",
       "       [87.9375, 89.8125],\n",
       "       [88.1875, 90.0625],\n",
       "       [88.4375, 90.3125],\n",
       "       [88.6875, 90.5625],\n",
       "       [88.9375, 90.8125],\n",
       "       [89.1875, 91.0625],\n",
       "       [89.4375, 91.3125],\n",
       "       [89.6875, 91.5625],\n",
       "       [89.9375, 91.8125],\n",
       "       [90.1875, 92.0625],\n",
       "       [90.4375, 92.3125],\n",
       "       [90.6875, 92.5625],\n",
       "       [90.9375, 92.8125],\n",
       "       [91.1875, 93.0625],\n",
       "       [91.4375, 93.3125],\n",
       "       [91.6875, 93.5625],\n",
       "       [91.9375, 93.8125],\n",
       "       [92.1875, 94.0625],\n",
       "       [92.4375, 94.3125],\n",
       "       [92.6875, 94.5625],\n",
       "       [92.9375, 94.8125]])</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'>9.057e-05 9.775e-05 ... 0.0001983</div><input id='attrs-87ad9dd5-f200-4971-ae8a-6a176c50fb38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87ad9dd5-f200-4971-ae8a-6a176c50fb38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-924b9a78-03ed-445e-9eec-2ccb581b5b5b' class='xr-var-data-in' type='checkbox'><label for='data-924b9a78-03ed-445e-9eec-2ccb581b5b5b' title='Show/Hide data 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>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-10-08T16:30:02Z altered by CMOR: replaced missing value flag (2e+20) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MPI-ESM-MR_historical_r0i0p0.nc areacella: areacella_fx_MPI-ESM-MR_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[9.05694956e-05, 9.77452306e-05, 1.04679965e-04, ...,\n",
       "         2.39233261e-04, 2.32362642e-04, 2.22662009e-04],\n",
       "        [8.21409921e-05, 8.81336842e-05, 9.38338025e-05, ...,\n",
       "         2.15383727e-04, 2.06352119e-04, 1.96189593e-04],\n",
       "        [7.37124885e-05, 7.85221379e-05, 8.29876402e-05, ...,\n",
       "         1.91534193e-04, 1.80341597e-04, 1.69717176e-04],\n",
       "        ...,\n",
       "        [2.52733475e-05, 2.91450876e-05, 3.40650113e-05, ...,\n",
       "         1.92399113e-04, 1.88143446e-04, 1.85181922e-04],\n",
       "        [2.59114344e-05, 2.95058839e-05, 3.38682463e-05, ...,\n",
       "         1.92347440e-04, 1.90749304e-04, 1.90122584e-04],\n",
       "        [2.65495214e-05, 2.98666802e-05, 3.36714812e-05, ...,\n",
       "         1.92295767e-04, 1.93355162e-04, 1.95063247e-04]],\n",
       "\n",
       "       [[5.60075656e-05, 5.60752465e-05, 5.39221908e-05, ...,\n",
       "         8.17000795e-05, 8.09658398e-05, 8.30372930e-05],\n",
       "        [5.22315900e-05, 5.23246541e-05, 5.04696716e-05, ...,\n",
       "         8.23790382e-05, 8.08405509e-05, 8.16357450e-05],\n",
       "        [4.84556145e-05, 4.85740617e-05, 4.70171523e-05, ...,\n",
       "         8.30579970e-05, 8.07152620e-05, 8.02341969e-05],\n",
       "...\n",
       "        [2.16827790e-04, 2.21481529e-04, 2.23426665e-04, ...,\n",
       "         2.01837282e-04, 1.91339075e-04, 1.81055319e-04],\n",
       "        [2.14523300e-04, 2.18115929e-04, 2.18988220e-04, ...,\n",
       "         2.04762001e-04, 1.97079266e-04, 1.88650236e-04],\n",
       "        [2.12218810e-04, 2.14750330e-04, 2.14549776e-04, ...,\n",
       "         2.07686720e-04, 2.02819458e-04, 1.96245154e-04]],\n",
       "\n",
       "       [[6.88466282e-05, 6.60519531e-05, 6.87826636e-05, ...,\n",
       "         1.27259511e-04, 1.23983373e-04, 1.23956391e-04],\n",
       "        [6.14823040e-05, 5.93056684e-05, 6.22690969e-05, ...,\n",
       "         1.32612555e-04, 1.29674621e-04, 1.28687632e-04],\n",
       "        [5.41179798e-05, 5.25593837e-05, 5.57555301e-05, ...,\n",
       "         1.37965600e-04, 1.35365869e-04, 1.33418873e-04],\n",
       "        ...,\n",
       "        [1.20383621e-04, 1.20817381e-04, 1.20235980e-04, ...,\n",
       "         1.95969397e-04, 2.00889275e-04, 2.01185745e-04],\n",
       "        [1.21046522e-04, 1.20833772e-04, 1.19634775e-04, ...,\n",
       "         1.91980250e-04, 1.98018886e-04, 1.99765940e-04],\n",
       "        [1.21709424e-04, 1.20850163e-04, 1.19033570e-04, ...,\n",
       "         1.87991103e-04, 1.95148497e-04, 1.98346135e-04]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-949c414a-efd6-4770-96b3-4a43c5d8ba80' class='xr-section-summary-in' type='checkbox'  ><label for='section-949c414a-efd6-4770-96b3-4a43c5d8ba80' 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>Max Planck Institute for Meteorology</dd><dt><span>institute_id :</span></dt><dd>MPI-M</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosmos/branches/releases/mpi-esm-cmip5/src/mod; atmosphere: ECHAM6 (REV: 4936), T63L47; land: JSBACH (REV: 4936); ocean: MPIOM (REV: 4936), GR15L40; sea ice: 4936; marine bgc: HAMOCC (REV: 4936);</dd><dt><span>model_id :</span></dt><dd>MPI-ESM-MR</dd><dt><span>forcing :</span></dt><dd>GHG,Oz,SD,Sl,Vl,LU</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>cmip5-mpi-esm@dkrz.de</dd><dt><span>history :</span></dt><dd>Model raw output postprocessing with modelling environment (IMDI) at DKRZ: URL: http://svn-mad.zmaw.de/svn/mad/Model/IMDI/trunk, REV: 3911 2011-10-08T16:30:02Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>ECHAM6: n/a; JSBACH: Raddatz et al., 2007. Will the tropical land biosphere dominate the climate-carbon cycle feedback during the twenty first century? Climate Dynamics, 29, 565-574, doi 10.1007/s00382-007-0247-8;  MPIOM: Marsland et al., 2003. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates. Ocean Modelling, 5, 91-127;  HAMOCC: Technical Documentation, http://www.mpimet.mpg.de/fileadmin/models/MPIOM/HAMOCC5.1_TECHNICAL_REPORT.pdf;</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>f94bedfd-180d-43ad-b12d-99f102968059</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>2011-10-08T16:30:02Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>MPI-ESM-MR model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2005-09-16\n",
       "  * lon        (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-06-01 1981-07-01 ... 2005-10-01\n",
       "    lat_bnds   (lat, bnds) float64 17.19 19.06 17.44 19.31 ... 28.56 26.94 28.81\n",
       "    lon_bnds   (lon, bnds) float64 85.19 87.06 85.44 87.31 ... 94.56 92.94 94.81\n",
       "    pr         (time, lat, lon) float64 9.057e-05 9.775e-05 ... 0.0001983\n",
       "Attributes: (12/27)\n",
       "    institution:            Max Planck Institute for Meteorology\n",
       "    institute_id:           MPI-M\n",
       "    experiment_id:          historical\n",
       "    source:                 MPI-ESM-MR 2011; URL: http://svn.zmaw.de/svn/cosm...\n",
       "    model_id:               MPI-ESM-MR\n",
       "    forcing:                GHG,Oz,SD,Sl,Vl,LU\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  MPI-ESM-MR model output prepared for CMIP5 histor...\n",
       "    parent_experiment:      N/A\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 14,
     "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": 15,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
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       "       [8.84158500e-05, 8.86569329e-05, 9.18253676e-05, ...,\n",
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       "       [8.25145983e-05, 8.28862311e-05, 8.60311530e-05, ...,\n",
       "        1.28000591e-04, 1.23113477e-04, 1.19680739e-04],\n",
       "       ...,\n",
       "       [2.04007839e-04, 2.12223079e-04, 2.18565668e-04, ...,\n",
       "        1.98003023e-04, 1.90135175e-04, 1.82543205e-04],\n",
       "       [1.95780805e-04, 2.02316423e-04, 2.07127822e-04, ...,\n",
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       "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-13a46130-3aef-408b-bb39-e0c1e18a29e3' class='xr-array-in' type='checkbox' checked><label for='section-13a46130-3aef-408b-bb39-e0c1e18a29e3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>9.432e-05 9.443e-05 9.762e-05 ... 0.0001961 0.0001936 0.0001898</span></div><div class='xr-array-data'><pre>array([[9.43171018e-05, 9.44276347e-05, 9.76195821e-05, ...,\n",
       "        1.36110168e-04, 1.32716136e-04, 1.30602622e-04],\n",
       "       [8.84158500e-05, 8.86569329e-05, 9.18253676e-05, ...,\n",
       "        1.32055379e-04, 1.27914806e-04, 1.25141680e-04],\n",
       "       [8.25145983e-05, 8.28862311e-05, 8.60311530e-05, ...,\n",
       "        1.28000591e-04, 1.23113477e-04, 1.19680739e-04],\n",
       "       ...,\n",
       "       [2.04007839e-04, 2.12223079e-04, 2.18565668e-04, ...,\n",
       "        1.98003023e-04, 1.90135175e-04, 1.82543205e-04],\n",
       "       [1.95780805e-04, 2.02316423e-04, 2.07127822e-04, ...,\n",
       "        1.97049793e-04, 1.91844963e-04, 1.86177134e-04],\n",
       "       [1.87553772e-04, 1.92409766e-04, 1.95689976e-04, ...,\n",
       "        1.96096564e-04, 1.93554752e-04, 1.89811064e-04]])</pre></div></div></li><li class='xr-section-item'><input id='section-a6f957cd-f22b-4c69-832d-8950774c6eb5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6f957cd-f22b-4c69-832d-8950774c6eb5' 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-399337db-2155-4cb5-bfe4-11456ba1c939' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-399337db-2155-4cb5-bfe4-11456ba1c939' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0570c6d8-ffcf-48fb-b6f5-f3396614a104' class='xr-var-data-in' type='checkbox'><label for='data-0570c6d8-ffcf-48fb-b6f5-f3396614a104' title='Show/Hide data 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-bad1d7f5-4b7b-4208-a4b0-8e2479fd2793' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bad1d7f5-4b7b-4208-a4b0-8e2479fd2793' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70bcd888-8eec-4727-a8bf-ceafe91ed88d' class='xr-var-data-in' type='checkbox'><label for='data-70bcd888-8eec-4727-a8bf-ceafe91ed88d' title='Show/Hide data 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-945532f2-063d-4a1b-a032-10f4c7b5025f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-945532f2-063d-4a1b-a032-10f4c7b5025f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[9.43171018e-05, 9.44276347e-05, 9.76195821e-05, ...,\n",
       "        1.36110168e-04, 1.32716136e-04, 1.30602622e-04],\n",
       "       [8.84158500e-05, 8.86569329e-05, 9.18253676e-05, ...,\n",
       "        1.32055379e-04, 1.27914806e-04, 1.25141680e-04],\n",
       "       [8.25145983e-05, 8.28862311e-05, 8.60311530e-05, ...,\n",
       "        1.28000591e-04, 1.23113477e-04, 1.19680739e-04],\n",
       "       ...,\n",
       "       [2.04007839e-04, 2.12223079e-04, 2.18565668e-04, ...,\n",
       "        1.98003023e-04, 1.90135175e-04, 1.82543205e-04],\n",
       "       [1.95780805e-04, 2.02316423e-04, 2.07127822e-04, ...,\n",
       "        1.97049793e-04, 1.91844963e-04, 1.86177134e-04],\n",
       "       [1.87553772e-04, 1.92409766e-04, 1.95689976e-04, ...,\n",
       "        1.96096564e-04, 1.93554752e-04, 1.89811064e-04]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 15,
     "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": 16,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
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       "  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([[ 8.14899759,  8.15854764,  8.43433189, ..., 11.7599185 ,\n",
       "        11.46667416, 11.28406657],\n",
       "       [ 7.63912944,  7.659959  ,  7.93371176, ..., 11.40958476,\n",
       "        11.05183928, 10.81224119],\n",
       "       [ 7.12926129,  7.16137037,  7.43309162, ..., 11.05925103,\n",
       "        10.6370044 , 10.34041582],\n",
       "       ...,\n",
       "       [17.62627733, 18.33607405, 18.88407372, ..., 17.10746122,\n",
       "        16.42767909, 15.77173288],\n",
       "       [16.91546159, 17.48013892, 17.89584382, ..., 17.02510216,\n",
       "        16.57540484, 16.08570441],\n",
       "       [16.20464586, 16.62420379, 16.90761392, ..., 16.9427431 ,\n",
       "        16.7231306 , 16.39967593]])\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-2448c5be-a2c3-4082-8ffd-8a518e494735' class='xr-array-in' type='checkbox' checked><label for='section-2448c5be-a2c3-4082-8ffd-8a518e494735' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>8.149 8.159 8.434 8.71 8.986 9.262 ... 17.38 17.16 16.94 16.72 16.4</span></div><div class='xr-array-data'><pre>array([[ 8.14899759,  8.15854764,  8.43433189, ..., 11.7599185 ,\n",
       "        11.46667416, 11.28406657],\n",
       "       [ 7.63912944,  7.659959  ,  7.93371176, ..., 11.40958476,\n",
       "        11.05183928, 10.81224119],\n",
       "       [ 7.12926129,  7.16137037,  7.43309162, ..., 11.05925103,\n",
       "        10.6370044 , 10.34041582],\n",
       "       ...,\n",
       "       [17.62627733, 18.33607405, 18.88407372, ..., 17.10746122,\n",
       "        16.42767909, 15.77173288],\n",
       "       [16.91546159, 17.48013892, 17.89584382, ..., 17.02510216,\n",
       "        16.57540484, 16.08570441],\n",
       "       [16.20464586, 16.62420379, 16.90761392, ..., 16.9427431 ,\n",
       "        16.7231306 , 16.39967593]])</pre></div></div></li><li class='xr-section-item'><input id='section-34c29c1e-d011-4095-8806-4320715c4152' class='xr-section-summary-in' type='checkbox'  checked><label for='section-34c29c1e-d011-4095-8806-4320715c4152' 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-00b5b474-62a5-4502-b0f3-fcc730285451' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00b5b474-62a5-4502-b0f3-fcc730285451' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1481bd4c-afe3-40da-8f55-cdaf9e26c3c1' class='xr-var-data-in' type='checkbox'><label for='data-1481bd4c-afe3-40da-8f55-cdaf9e26c3c1' title='Show/Hide data 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-383a4fe5-cb0c-4af9-a0b5-95b2b0c93f31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-383a4fe5-cb0c-4af9-a0b5-95b2b0c93f31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ee46a40-72de-4e8b-8686-ad6b61ea8cb4' class='xr-var-data-in' type='checkbox'><label for='data-5ee46a40-72de-4e8b-8686-ad6b61ea8cb4' title='Show/Hide data 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-f79777c8-19f8-4281-8fb1-78e9450ed90c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f79777c8-19f8-4281-8fb1-78e9450ed90c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[ 8.14899759,  8.15854764,  8.43433189, ..., 11.7599185 ,\n",
       "        11.46667416, 11.28406657],\n",
       "       [ 7.63912944,  7.659959  ,  7.93371176, ..., 11.40958476,\n",
       "        11.05183928, 10.81224119],\n",
       "       [ 7.12926129,  7.16137037,  7.43309162, ..., 11.05925103,\n",
       "        10.6370044 , 10.34041582],\n",
       "       ...,\n",
       "       [17.62627733, 18.33607405, 18.88407372, ..., 17.10746122,\n",
       "        16.42767909, 15.77173288],\n",
       "       [16.91546159, 17.48013892, 17.89584382, ..., 17.02510216,\n",
       "        16.57540484, 16.08570441],\n",
       "       [16.20464586, 16.62420379, 16.90761392, ..., 16.9427431 ,\n",
       "        16.7231306 , 16.39967593]])\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": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpi = jjas_mean*86400\n",
    "mpi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       "  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",
       "       [ 9.44072092,  9.28668803,  7.74400757, ..., 10.39943099,\n",
       "         7.44210341,  2.68382032],\n",
       "       [ 6.62398534,  7.45301165,  6.69043   , ..., 11.79166843,\n",
       "         8.48781177,  6.65573367],\n",
       "       [ 6.33051275,  7.62307464,  9.28736798, ...,  9.69632843,\n",
       "         8.44542064,  7.0404869 ]])\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-e02afd9c-ca91-4c47-9788-f6d3af3b30a1' class='xr-array-in' type='checkbox' checked><label for='section-e02afd9c-ca91-4c47-9788-f6d3af3b30a1' 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 ... 15.16 13.97 12.18 9.696 8.445 7.04</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",
       "       [ 9.44072092,  9.28668803,  7.74400757, ..., 10.39943099,\n",
       "         7.44210341,  2.68382032],\n",
       "       [ 6.62398534,  7.45301165,  6.69043   , ..., 11.79166843,\n",
       "         8.48781177,  6.65573367],\n",
       "       [ 6.33051275,  7.62307464,  9.28736798, ...,  9.69632843,\n",
       "         8.44542064,  7.0404869 ]])</pre></div></div></li><li class='xr-section-item'><input id='section-47ba7c0a-1220-43e2-82d9-f1471e30544c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47ba7c0a-1220-43e2-82d9-f1471e30544c' 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-f570fb0c-8ca4-4dd9-b476-bb83f7bd55bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f570fb0c-8ca4-4dd9-b476-bb83f7bd55bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed38b121-5618-4c5a-8b43-2fd0b6257d00' class='xr-var-data-in' type='checkbox'><label for='data-ed38b121-5618-4c5a-8b43-2fd0b6257d00' title='Show/Hide data 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-517d7ede-1344-4500-a75c-f5af2eb41cee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-517d7ede-1344-4500-a75c-f5af2eb41cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d8133af-aa3c-43e4-8f31-812e7bc5f4be' class='xr-var-data-in' type='checkbox'><label for='data-8d8133af-aa3c-43e4-8f31-812e7bc5f4be' title='Show/Hide data 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-21c57f58-f86a-4173-9d65-5f25dc41fc8c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-21c57f58-f86a-4173-9d65-5f25dc41fc8c' 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",
       "       [ 9.44072092,  9.28668803,  7.74400757, ..., 10.39943099,\n",
       "         7.44210341,  2.68382032],\n",
       "       [ 6.62398534,  7.45301165,  6.69043   , ..., 11.79166843,\n",
       "         8.48781177,  6.65573367],\n",
       "       [ 6.33051275,  7.62307464,  9.28736798, ...,  9.69632843,\n",
       "         8.44542064,  7.0404869 ]])\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": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = mpi - chirps\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "  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",
       "       [115.33389353, 102.62229949,  69.51491555, ..., 155.02957869,\n",
       "         82.82277821,  20.50609913],\n",
       "       [ 64.36380149,  74.32848369,  59.70712112, ..., 225.31418294,\n",
       "        104.94855124,  70.58063963],\n",
       "       [ 64.11208639,  84.69020397, 121.87753602, ..., 133.80863348,\n",
       "        102.02605164,  75.22539478]])\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-3e975f11-2832-4378-b942-42cd267d2598' class='xr-array-in' type='checkbox' checked><label for='section-3e975f11-2832-4378-b942-42cd267d2598' 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 ... 620.5 409.9 244.7 133.8 102.0 75.23</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",
       "       [115.33389353, 102.62229949,  69.51491555, ..., 155.02957869,\n",
       "         82.82277821,  20.50609913],\n",
       "       [ 64.36380149,  74.32848369,  59.70712112, ..., 225.31418294,\n",
       "        104.94855124,  70.58063963],\n",
       "       [ 64.11208639,  84.69020397, 121.87753602, ..., 133.80863348,\n",
       "        102.02605164,  75.22539478]])</pre></div></div></li><li class='xr-section-item'><input id='section-44c0b514-04d1-4371-a67d-317fad5f4f3c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44c0b514-04d1-4371-a67d-317fad5f4f3c' 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-432456b1-d974-455d-8a85-576530ede59c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-432456b1-d974-455d-8a85-576530ede59c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ca1ab6-2272-473f-b885-a5e76c13ccf9' class='xr-var-data-in' type='checkbox'><label for='data-d1ca1ab6-2272-473f-b885-a5e76c13ccf9' title='Show/Hide data 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-a650671f-211c-4ba3-bbd6-878107ece2c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a650671f-211c-4ba3-bbd6-878107ece2c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75c0b4d3-96f0-41d6-9013-def6e2448381' class='xr-var-data-in' type='checkbox'><label for='data-75c0b4d3-96f0-41d6-9013-def6e2448381' title='Show/Hide data 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-e425103d-1190-450d-9540-fd76eb4a98f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e425103d-1190-450d-9540-fd76eb4a98f8' 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",
       "       [115.33389353, 102.62229949,  69.51491555, ..., 155.02957869,\n",
       "         82.82277821,  20.50609913],\n",
       "       [ 64.36380149,  74.32848369,  59.70712112, ..., 225.31418294,\n",
       "        104.94855124,  70.58063963],\n",
       "       [ 64.11208639,  84.69020397, 121.87753602, ..., 133.80863348,\n",
       "        102.02605164,  75.22539478]])\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": [
    "bias_percentage = ((mpi - chirps)/chirps)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "               levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-15,15+3,3),orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(GCM MPI-CHIRPS)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(gcm mpi-chirps).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NBCYaxLADytfTN0KICCnlX1LKSdjG2yr52pdJWfvJgJQvUDDWMlK9gNM45nQp5bOZOKatmIhSQ24lpUzu7Mbg/PJGirxRhv8FU6QjlAHJoZgLePK5TZJSfmSFLZEoH40hKTdIKa8IIW4BpYQQZaSUV6woL5lkL71WQgghDW1GmcVEeAahtNj8KW3nFDEd5Z0xFUUol9moXItIKYdj2WsTjNerdU7akFkMwrPG4Li1HfhLCFHXtLXGRse5L4QYhjI+sL4Qwte0EmJ4NgKBs2mVkYytQl8lf4WbftXuA0oLIaxpdiuD8sW30VTMDDRNb0cp5WMp5Rop5QiUfpryKB21oPQRgbnQJtPS8P+IFfalRTngtKmYGUjXZhsRbPif0W9YzvDf7OtJCFHIZJtFpJRnDM2dTxqSnkwvfxZI9qxrYoOy9hv+d8og3xkUoWgkTKJU2BgdqM3oKSkHhJuKmYHaKI4yphwz/Ld0feqT2svxAIrYW3U9DUJzEqiQhjdp8kDrN60pz6Tc8ygfWaVR+jbTxApP4Okowu1JJl3qM2AtihNRceBfGwplVtiMUltrJTKIAJSDntNpYmgBmo/SBJ7qI9hGJKB8XAmU2pgpFVDec8dT7pQSqx9oIcSoNPo5wHjDm7qcTjEYN01YCFsihKhmeKkCJI89aGL6YAkhGqI0Kabct0XKMg37JX/JJt+c/xj+fySE8DLJWwKl1hGLodqbRa4DFQ2u0sllF0JpO84xhBClMA5P2J5B9uRrqz4oQgh3FC/ClOO8ChrcxFOSXJu19UM/HaW9/SshRKqavFDCJlVNtZdllqHUVkYJIVJ9UAghigFIZSzVbyh9ZR+kFDWhYOkDKDMkN41YakK6DoQIIUz7j/1QOsXNkFJeRqmJtxZCtDfJ74KFFgCpjP1ZBHSxNCRFCOEmhGieInk7Sh9gRQu2foUyNGKMEOJdw32TsszA1LsByvMVD/wmLIRmMlzngShNTOmxFqW5roeUcn8Gea1GKiG+eqI4neXo82qFLUkoLSkSZahKqg8SIYS7EOJlFKcLe/AxipPW+1n9EBRC9E/n2XoRpRZ+Tkp5P8W25L72jN51mWpy7IZyc55GqSLfQakltEZ5OURg0mQipVwphJhsSDtv6N+6idIWXhMlVExT4K6U8oYQYgXKaPk9QoitKM4PvVDc1nunsOV1oL0QYhNKU6fOYEcDYLWU8ozBhk1CiD9Q+uaOCyGWoqj/MyjNLCOllKn6JzLB/1CGMBwUQvyH8oM8gdKJb+2LOCO6GdqYQfm9SqFcDz+UZrOMHvI/gOeA/4QQc1Fq0+1RatNHMXeKKQ7sN3SUH0b5gi1hOF4iykeKzZBS3hFCDEHxpDothFiJ0qcUgPKCbYXSn3fairLihDKofhWw3dBUdQZl3GMzlNrLcEP291Eekg+Bp4QQO1H6QUuh1G6KYLlfyVo2A0+hvJzWorzYt0kpt6HcMx1QxrvNQ/no64LST2ap/28cijPNSsPvdwslzJyLIX/K5p8XUJ7HP4UQo1FqrvEotaWWKM+p6YD6ZcDLKPfEOdOCDE1+nVH6rT4FXhBCbERxkPIxlJkcoGBXin0PCiVu57/AciHEIZRaWxTK9W1v2H+a5UuolqNDGa9ncwzPjs1EMjtIKZcLIUag3B+7hRA7UO7ZWKAkyjCpwijdHPaw75QQYhFKM20/lP7NzNIEpf//Coo4haF0hzQy/MUDL1nYrz3K+2eNNYZa6yJaGaX9fwNK9Tge5ev6JMrXZYk09nvSYEi4YZ9rKJ5oL2ASRgWljXQqyhdsLEpT4DCMLqaTTPJ2RmkOOYfygo5EeQG/SoqxUigvjBcM22NR+hk2A10s2DrJcKw21mxDeam8ivLijEP5mv0UpeYjMXHBliZusVZe7+FYdsF9iFITHkGKUDCkPQ6tC0rz3mMUh4p/ULzpzOxB+VKfhHKz3Tb8XldRBhLXzcS9sgUL41nSyV/TYNMNlKaHOyg1kw8wceVN6/xSlFXFUFbymLQbKC/k9inyuaOIRfJ1iUYJrzOX1GO4rpBivFd62wxlf4tyLyeR+v4djNKcGGuwbwqKiFs8DsqLYCtKf+19lHu/AMq9fNRCfj8U0T5m2CfKcI/+ZeE6CJSPiO3pXFNPlIge6w33T6Lh2EdQBm7XS2ffQijPxEHDvZuAIsRLUV6OpuP9kn/fVOHe0nkeM+22n0G+MqTvtl8jq2VYaWdZjIPtozA+g3OBzpm9Btgg9FWK51SP8s53yezvgCLM44DkD9cYwzNwHuXDpmoa914kMN+a6ycMO2loaDgRhibaSygvzaczyp9BWa+gjO2sKo0ewhoadkcYPclbygyiqIA2H5qGhkMjlNiPKcNheaA0dYNtvPN+RWk5edcGZWlo2ASDX8Q7KIOzMxQzsELQhBAlhTJXzWkhxEkhxHhD+jwhxBHD3xUhxBGTfSYLZb6b1ob1MkIJ0PqySZ4pQpuIUkMjI0KA5PnDJgshfkNp8umD0vScbqxEa5CKh98w4JxQBu9raDgCRVGc9lLG/U0Ta27eJJRQRYcMnoUHhRDrpZSq+6YQ4luU9vHkgbygdOhPxxiR4y5Kh+BvUhkjpqGhkTGPUPrM2qE4Brih9LV9hhJaKtWEnFlBSrkV47OqoWF3pJQ3yeR41wwFTSquwLcMy1EGL8fiwClQq4X9UB44UKIm6FE6Ck3HttxD8XIahuJ5p6GhkQFSCQiQauiKhoZGajLVvCCUOGd1UTzQkmkJ3JHKYEqklCeFED4ozSEpIx98iTJty18ZHGcUyky4iJDg+sItfTP18SnHYtsOF8/seG+b4+1tXVm6uDji7hhHE7gHBuARFIi/d8rxho5H5M1bxD2KSpXu5uuDZ2io+SeOFcTGZu63zfS9oEs1LZOGRtZJTIJ4Q4hNIcDHK9P3fIa4Gt+Hab2frHnXZOd9cvvMubVSyi5ZLiCHsFrQDIM/F6HESjQNFzUAZayJipTyZSwgpbwshNiHMqlgmkgpf8cQ6NS1cCHpM+ipDO17fN72zll+FS3Fxc06tatZNTceADc3bObyPGV+vKTH0Tz7+4+Eli5pU3tygk0//87e2alnt0+KjqFgowaUG5gthzwAjp46lan8mbo3IjMMF6ehkTZ6Pew7CUk6kBIqlgS/lAFgskGQ4h+U1rvJmndMq5rZHyL7RZMOBTLOlftYJWiGCAGLgNlSyv9M0t1QOqczE835c5SOPksR8LOMX8XKOSJqtuToqVNWi1rRdq25v/8QUZeuIHU6tk+bSa9PsuaE1ryYefzhnTczEzYxcwQWLZzmtltbtvP0Gy/jGxKspm07nuGY6VSkvIYZCZylhz/NeyUoVVjDnEcT0byDiwsEB8C9CGX9wSPbCVo6YpZbQuboZChohj6yP1FiFn6XYnMHlMkBw6w9oJTyjBDiFEpEDUuz5FrE0g+W8kWW/EPbQthsXTvLLMLFhbIDnubYZ5MBOLtpG1HjRuNf0PoPo5RCllG6JTIrfkHFzUN39vlyEqu/+I7Yh49ASq4dOsqDa2FER0QSVLwoDTq3xyc4yGyfzIqcNfdGSjIlcjmNPUQ0PTSBzR7B/kZBi4yCUkXSz58RaQiZtR/H+UHIkslwYLVQpqPfjhIYMjnMzjtSylVCiOnAHilluvHYDH1vK6SUNQzrtVEidzwnpZye3r5+ZUrJOu+lHxvV0ssrOy+njMQs+UbKbNOX6b7W0KpmVWaNeZXrR5SYnA3796HDKy+mu09mxCqrpCdy+iQd8157hzvnLtDxtZeo3qkdv/d/jvAr1yzmd3V3p0G/XrQcORx3r4xn28lKjc6UrPxmOUW2BVRKpZ8mt9CEzjoePIRTl5VlP2+oY+XHcTofNqbvpNwWMkvvlCdKVTwopbQU99WuOHykEGsEDWwnataKWUbHzmwZKUm+Gc9t3cmiiUocWuHqwuCp31Gido1U+XNDyNLCksBJvR7hogxz3PHnP2z/Y0a6ZRQoV4b+P3yJf6GsNc3nJaHLiKSLV0g8fBTdzdvg5o5LcCBu5crgXr82GTlQWUuu1VadSSSTdPA4Btxcwdc77Y+Ja7eVP4AioVDBpO/bytp4VpoVc1LAUqIJWhaxVtAg7ZdSZh7O9ATNGiGy5sWYGUGTUjLnxQlcO6zMJBJQpBAj/vkdL38/u4pYRpiKnD5Jx/Y/Z3JkyUriHkVRrEZVStWpxeX9B7l1yvjbhJQuybPTp+JhY2/O7IqdLcmOcEopSdi2i8RDxyxuF8FBeHVojWuJjKaEyz52a56NfKDUTMMfQnSsIiquruDhBkH+4J5D48KjY+HERcWLERRBq1RK+W8qUtGxsOcwJHvn1qkGJSw3OVrbrZHW+8KWTYmZfZdogpZFLAma6Q9p6WWV1dpadsXMGjusKSvljfrw9h3+GjpGdYfvM/p5nnt3YqbtcQSklAjDl62UktWz/uW3Dz9Bl6S8KAZNGM+A8WPN9smoHy/24SPCjp4g/Np1KjRvQoGy1j+cjiR2piRGR/PwzHmSHj9GuLoipeTe7n08On8xw32LtG5B6T49cPPJ3odBbtVaMyWOMbFw8AQ8TD00BHc3aFATQoNTb7MWKeHeAwiPUGpjXp5QtgTcvg9nUlx7FxeoXhFCgxQBi46Fc5chweC27+aGz7MDcfGzNOm6OfZw6sjOB7EmaFkkWdDS+zFtIWq2FrP07EmvvLTO8+S6TSz7QJm2KTA0hFmH9qjC4Oys+mc2U9+dBIC3ny8z9+/E2zftl0BifDz//vgLW5YsIybqMY8fPlS3ubi60njQ0zR/bjDuXrYbQ2iJnBBDfZKO21u2cW3ZanSxsWnmC6lTi3L9+4KLCw8OH+Xq4hXo4oxj8DyCAik3qB+hdWrZ3Ma0sLUApnpe9XrYedCymCXj5Qltmyi1tswS9RhOnFfELLu4uuLVrSNuFcyn+ctsH3pOkd3WHU3QskjRqpXls9OnZpjPWlED8wclp4XMWtK7eZsXK41er2dg7Ubqy/vvPdsoWMyaycAdH51Ox0sduhF2UZn4u0X3rgx45WWKlS2Nu4dxDtKEuHjOHD7CnO9/4sSe9B1kg4oVodMb4yjftFG6+exJyntWSsnpKb8TcexE2jsJQYmunSjVs5vaRwkQ/yCCi3PmE3HUfN+ACuUo3qUjwTWrmeXPLWwlco/Pn4Ww23DEpLzSxZVaWWISXL1hTK9aAcqXsr7whESlZnX1hlJDywC3KhXR3bmHjIi0nMHTE++eXXEtnvr5dCTPRK2GZgesFTRI+4s5p70Rs0tGYpbMuK49uHRSOcfvl/9Hxdo1c9y23GL53zP57cNPUqW7ebjj4+uHlJKoyEiL+7q4ulKhZnWkhPNHzfuX6rdpRcU+3fEJCiTq3n2i7t0nMSaOoOJFCSlVgpCSJXBxy8LXfA5w9eAR5rz0uroeWKQwpRvWReolusQEgkuWoGr71hQsV8bivS6lJPzAYS79u5DEKPNaTIFyZWgyuB/VOrXDNYXjSE42u0qdjgfHT/L48lWkTo+Lhzt3Y2MQXl5IvV6pdekV52mX0BBcCoQiLPweMimJmH/mIyMNtfGKZaByOWOGK2FwwjA/qaur0vT4MAru3leaA93clKbIAsHg66OIWFwcRDyC67dAZxISUwjcalRFeHiQePBIKlt8X3gOXAQJB4+SdPoc6HSIwABcAgNwCQ7CrWolXPz9Uu3nSGKWTFZFzVEFLU9F1k6+EVI+oLWrVbNa1DLbv5Xdl4G1YgYQGBqqLkfeTzlLuXPTdfAADm/fyb4Nm8zSkxISeZRguQlowPixPDF8MF6+vnh6eaHX61k/byF/f/61WpM9uGUbB7ekPYbfOyiQKm1bUr1ze0rUrmHXZtxDi4wzwVTt2JYnP3gTV3d3i3nTvG9qVSO275Ns+fVPjq1Yi97QN3n/0hVWfPw12377m4YDnqL2k13x9PWxWFZW72mp16OLi0cXF0fi42geHDnGne27SUjjQ8Qirq64Va6AR7NGqijo7t0nftN2o5h5euDbvi3CJLyTLFuBmKs3kVGPFXHaeyRFwfEQFa0IX3qHL1kcjzbNcS0QipSSpPMXkaah3IQAFxeEhzueTRvi2bShVaeVmx/ImWHnzasO7VyWWfJUDc2UzDRBgm1dYq15IWRGyJL56c13WTdXCSs1/O03eOqFUVbbVCvAKIbHHoVbvV9ukpSYyKZFSziweQunDhzi0YMI9CZfzkIIipcrS7WGDeg8sB+V69S2WE7k/XD++uwrNv+3hMzc31U7tqXLm+PxsvB1ndNE3b3PL70HInVKbeX5OdMoWK5Mtsp8dPce+/9dxJGlK0mISd0f5x0UiH+BUPwKhOJXUPnvXyAU39AQpF5PQkwM8dExJETHcPFqGLq4OHRxcSTFxanCpYuNQxevLOvjbTiJhqsrLkUKQVwc+hR9Wp4dWuNeM/Xzmnj2PPGrNmTpcC4hwXg0bYhrxXJmHzVJFy8Tt2yNuu5WpRJeXdtnqmxH6TdLD83LMZfIqqCBdaKWW2M7TG3JipgBrJkzjylvvQdAk84dee8P666LqZhlh9wWQiklCfHxxD6ORkpJQHBQquay9Lh55Sr//TaNQ1u34+XtTWiRwoQWKYyHlxe3rl7j8ukzRN4zr+kWLF+G52b+hktWnAqygJRSqT19Opnbp5Ums1J1azHo15RBebJO7KMoDi1axoH5i4lJq98nB3H396dgkwa4+/uhi4snPiISXWwswtUV4eqKi6sruoREoq9dJ+5eOi0PQuDRojHu9eukWZNOPHuBxINHkQkJuIQG41a+LK7FiqB/+AjdtRvobtxExsYhvDwRfn64BPjhWqYUrqVKpFmmLuwmSdfCEJ4euNeuabFJ1BKZrZXZO6JHZkRNE7Qskh1Bg6w3n+T2zWXNzXT59Ble7vwkAEVKlWTajk0Z7GE7MUsPR63xZYRer+fU/oOsnv0vW5csV9N/3biakhUrWFVGQlw8cbExBARbdhWPi41lxe4dRD+IIOZBJDERkURHRBITEUH0gwjuXrhMdLj54OKnv/2UCs2bZP3E0iAxLp7jK9dycOFSwq9eV/qwbIyLpydu3l64enniWSCUQs0aE1q3Ni5WfohEnjnH1f+W8fiyyVANFxfcypfFvXF9XAvm/P1sC7LSxGhvQQPrRU0TtCySXUFLJjPC5ohiBhBx7z5D6jcFICA4mDlH0/f0yw0xyylyUyTvXA9jRPO26nqn/k9z6+o1khISKVyqBG379KJuy+a4pPAS3LVmHd+98gYJ8fG0fKIrDdq2oWSF8ty/fZtT+w9ycv8BLh4/SVJiolV2uLq5MWrSe3QfOsjidlsGldbrdMRERBJ1P5zH98J5fD+cqPvhRN8P53F4BK5urnj4+ODh442nry8evt7Kuq8PnoZ047KS7uHtZeZJmZ3+5Zibt4gPf4Crlxe+JUvgagiL5gwRXZxVzJLRIoXkILYSNMj4AbPmprJ15PrMVPOvn7/AC+27AunX0JxZyDKDrUTvr8++4r/fpqWbp3DJErTr25uyVSvj5u6O1Es+eX6MTY7vGxBAzaaN6Tv6eao2qGeTMi2Rk7MsWEtOeVQ6itA5u5glk9F7yVEFLU95OWZEq5pVLT5QWRGytNKtfWlkxbPo7JGj6nLxcmUt5skvYgYZn6u1gudpRaitO9fD+PeHn60qLyUlypejYLGiBBYIJTA0lKDQUIIKKv8LFCtKqUoVcc2FPjtr7rmcFj1bewknk5aQ5KbQOaonY1ZwVu/HfCVoYC5q2RGyzORP+ZLI6o2y+T+jW3eNxqkHDOcnMbOG9K6Hqdg9/eJoHkVEsGnRYpISE6lcpzZtevekSMkS7N+8lU0LF6c5Bg6U6CZ9x4zkxJ59RIY/ICA4mHLVq1KjcUOqNqhHYIiDTQ+TDtbcv7YkpwQuGVsEE8/KMazFEWtnyTijqOWrJsfM4Gg/5J3rYTzfoh1SSlxcXPhr9xYKFDVGItDELOeIi4tj3cqV7Nu9hxvXw5BIHibEc/HEScpVq8rYLz+lUPGcDwjsaOR0bS434mxmV9zyqpglk9Z7UGtyzAGaFytt84fK0YQsmXk/T1XHVNVt1UITs1zEy8uLHn370qNv31w5nrN4jeb0TOg5XXuD3Jvb0FlxtlqaUwqa6QVO62Jn5uHKzA+WUjxy4+Vz6eQp1s9bqK73ev7ZNO2xxOL5C9ixZQt9nnmG5q1b5YiNGrYjOx8o9hRDZxY4U3Gy1RRQ6eEMtTNnxKmaHLP7pZCdvixrXzK2fqFIKXl3wFCO7doDQIN2rZk0fZrV9vz8zbdM/vQzAFxcXFi6YR216+WcJ52G42Lvml9ueFnauhaX2UAM1uCMYpbyXak1OWaD6h5++Ab4Z7ucrAhiZr+WbR1iau/6jaqYubi6MuLdt6y26fCBA3z7+Rfqul6vZ/+evZqg5VMs3Te5KXKmz19OiVtGcyVmFls3KzqjmDkTuT+fRCaJvBbG4HpNGNqgOVfOnrO3OZkiu31bOp2Ovz77Sl3vPmSg1REspJR8/M676FNEg4iNicmWTRoaGvkLZ+pDc3hBizO8gKMiI1k96187W5N5siNqJ/fu5+blK4Ay+HbAqy9bXd65M2c4uG9/qvSEBBsGkNVwejSHotzDGWtnziRm4ASCZkryy93ZyOpLY9vylepy2z4904wXaIk1y1dYTP/x68mMGzmKxfMXEGcyw7FG/iWvipojCYgj2WINzYuVdjoxAycTtIfhudupbcsHPbNl6ZKS2LV6rbreonvXTJVhKmjvffIxPr6+6vqSBQsZP2o0rerV5+Sx45mySyNvkldFzd60qlnVqcTMWYUsGYd3Cileriw3L19BSsmVM+eIjY7G2+Tl7Exk5qWxY+tWHj1Q5oEqXLQo/dt3snrfi+fPc/K4IlQeHh4MGDaU2vXqMX70aG6GGaeqv33zFgN69mLKn3/Qql07q8vX0NDIGGcTsryAw9fQvH19KV25EqBECN+zNmsT+DkbF8+dV5ebtWyRKtJ7Wkgp+ejtd9T1hIQEHj18ROPmzdh17CgrtmxiwjtvqzW2yIgInn1mAMsWLbLtCeQioTzK8E8jY7Ramu1wFjFz9hpZShy+hgZKZIwrZ84CsG/jZtr26WlnizJPbEwM4ffDKVaiuFXiFBAYqC4/yERT6/GjR9myYaNZWrNatanXqCHVatSgSrVqtGjTmlbt2jJ66DBu37xFYmIiY0eMZN6s2Tw9cCABgYGUKFWSSlWqWH+CkKZwhBOQqXIyW35W97WVXXmJWgGhdh+v5uw4g5jlJREzxSkErUKtGuryqf0H0CUlZWrm4qyQ1a/Vi+fPc/LYMcpXrES1mjWIj4vj0/c/4N8ZM0lMTKR2vXr8899CgoKC0i3n+lXjOJ2y5cpbffzTx0+kSpNScnDvPg7uNc6fVrpsWQYOG8bi+Qu4fPEiANs3b2H75i1qnid692L2H9/gls1r7ag1JE3kLJOXRC2tGTZy6liOTl4VsmQcvskRoHnXzgSGKhHLw2/fYYvJ7MK2ICkxUR0ekB1mT59O24aNGTtiJF1btaZD02a0rNeAmdP+JNEwyePRQ4eoVaYcB/elPTmnlJKtm4xzndWoXctqGwoXLWJVvquXL/PdF1/Sf+gQBgwbanH6+RWLl/Drb9OtPnZaJCQk8M/sBYx56Q0mf/cL0dGOOxZOa6LUyAqOLmZ5rWkxLRw+9FXFWjXlDysX8++PU5j97Y+AMtniT6uXZTl6yO2r19i4cDFHd+7m4slTxMfGAhBcsCDlqlel6+ABjOzbz+JLHhTB2bx+AysWL+FxVBQdu3ahT/9naF2/IdeuXLHKhjLlyrHlwD6LzY9LFixk3MhRgBKuatuhg5QqY93NmJiYSKdmLbh4XumDCwgIYMXWzVy+cIEzp05z+sQJ1q9eQ/TjxwD4B/iz7dBBoqKiWPTvXI4fPcrlCxfVWpu7uzujRw6lTatmdGjfCnd3d6vsSObe/XCe7j+C/QeOqGl1atfgf79MpmYNx34JJJNfa205WUvLzclGc7qG5shillMi5qihr5xG0KIfRfFcszZEP1K+nms3b8boj97DNyCAiLv3uHvjBsd37+XcsePUbtaUQa+NS9UsGRcTw4wvv2HVrH/RJSWle9xadesy4Z23aNOhg5mw3b93j7fGv8q6VavM8ru5uZFkUqarqys6nQ5QPA0nffUlISEhjBk2XM0z5a9p9OjTx6ycyIgI2jVqwv179wAY8cIYPvzicyuvlsL1q9f4fcoUblwPY/S4l2ncrKnZ9ogHD3iibXu1WfODzz7l+ZdeVLfHx8fTrXlzzl+4ZLZfqxZNWLX83zSFPiVJSUk80XMQ23futbj9vbdf5e2J4zNzanYlPwpbTolaXhG03BYzR6llaYKWRZIFDWDrshVMHvuqVfv1Gvkcz7//trqu1+v5ZMQY9m/cnCqvi4sLLq6uJBmaBU2p36ghA4cPp2r16qxfvZoZf0zL0Elj4PBhvPHeu2xat57ExARatmlLydKlAHjntQnM+utvQBG9wc89y7g3XqdgoUJEPHjA4D5PcfzIEQCKFCvKpr178PPPfhzLlMyZMYO3xivXsnrNmqzevlXdFsojLl66wqChL3D8hPnL4E7YSfz8rBs2MWPmPF4cNxEAIQSNGtbl4KFjZsLf7+me9O3VnTatm1tdrr3Jb8KWE6Lm7IKWm0LmKCJmiiZoWcRU0ADmfP8zc77/KcP93D09+H75f5SpUhmAzYuX8u3419Xt1Rs1oPvQwdRs2pigAqHo9XpuX73G6tlzWf3PHOKtiKLRu18/XF1dWTR3rjpXWYXKlZi7bCmFChe2uM/9e/d4om07s/FgXt7edO/Zk+NHj3Du9Bk1fdrsWXTq3i1DOzKDXq8nKSmJuNg46leuop7n2h3bqVqjuln/kU6n470Pv+SnKX+oacOH9ueXn7606lit2/fkwMGjALz5+lg+fO91Tp46y/jX3mX3ngNmeQsVKsDSRTOpVdN55pjKL8Jma0HLTTED2wtafhcz0AQty6QUNIADm7eybu58Dm/fibuHByGFCxNSqCClKlVkyR9/qfnc3N1p2qUTHfr15Ze33+euQUS6DxvMmI8/SLPprFB0AlO/+4E5M2ZYjH1YrERxvv7pR3Uw8uWLFzmwdx9BwcG0bt8ODw+PdM/p9q1bvDJqDLu2b7e4XQjBlz9+z4ChQ9MtJ7OcPHackYMGEx4eTrcePVg0d6667YPPPmXiS4NT7RMXF0doEXP3/ZVL59CmdbMMj1ehamNu3boDwNdffMCLY55FCEFcXBwjRr3KkmWrzfI3aliXzesXWyrKockPwmZLUcttQQPbiVp+bWJMiSZoWcSSoKXH2cNHmPjUQIvNhwB+gYH8uXNzmg4lpu76N8PC+G/+Avbs2MG5M2eoUKkSA4YNpXP37hmKVkZIKdm0bj0fvPEm169dU9NdXV354bf/0fMp286OfPniRYb36686e6TktVfG8Mmktyxuu3T5KjXrtjZLGzd2JF98+m66x+w/aBTLV65T18uWKcXA/n0YPWoYIcFB7Ny1jz+nz2H+gqVqnhdGD6d/v140qF/HyjNzLPKyuDmzqGVW0Ozt6OGoQpaMJmhZJLOCBnD64GH+/uwrTh04mGrbc++9RZ9RI1Kl2ytKwv179/j1hx+JjY2lSNGidH6iO5Wr2u5hehj5kJ8mT2b673+oQwcsMfWnrxg29Jk0t3/9zRQ++fw7s+lodmxZTt06NdPc58qV63TrMYCr18LM0gMC/Fm++B8a1K/D3Xv3KV+5kVm5QggWzvuLLp3aWnOKTkNeELu8JGr2Fq1kHF28LKEJWhbJiqAlc/n0GdbMmceetet5/PARfUY/z4BXxpq5yuflcD9HDh5k5OCh3Ll1yyy919NPUbN2bfwC/ElKTKJUqDe9e3bL0Hvx4KGjtGpnjNIyd9ZvPPlE53T3uXnzNu9P+oqVq9cTFfVYTe/buztfff4BhQsX5JvvpvLRp9+Y7de5U1v+m/+3tafq9Dib2NlK2OzR/GhvnFHAUqIJWhbJjqBlRF4Ws7OnT9OrY2d1vBlAgyaN+fDzz8xmrLZmEHFY2E2+//E3Zs6eT0xMrJpeskRxQkKC6NalPc/060XFCuXSLCM+Pp6585aoXo/JPNGtI8+PGEyvvsPM0rt0bseieX+R33AmYXPm2lpukhcELCWOKmhOESnEVtQKCDX7y6vo9XpeHjFSFbOg4GCm/DWNRatXmYmZNVy4eJkmLbryvz9mmIkZwPWwGxw9dpIvvv6JBk06sfA/JYLLw4ePeH3iJEqVq0vZSg3o+8xznDp9jqFD+lG1aiWzMlasWs/mLTvN0ipVLMf777yW2dPOEzhTlBJbPkN58aWfX6JzOBJ5uoaWl0UrPc6ePk3Hps0BZcD3qq1bqFI9tTu8NS/PTz//ji++zniYBECB0BBOHNlGjz5D2Lf/sNk2Hx9vZs2YSmBAAO07p+/wsm3TUurXq23VMfMyzlJb02pq5uRFEUv5Li0VFKLV0HKa/FIDy4jwe/fV5ToN6mdZzACe6N4p1YBnHx9v+vTqzj/Tf2HGXz+r6ffDH9C5+zOpxAwgJiaWfgNGcubsea5cSO2sY8rol94gPj7eKvvyMs5SW9Nqagp5qUbmrO9Sp4i2nxbOdKFzE9Nad2JC2p6N1lCndg327VzD51/9SFKSjie6d6Rzx7b4+Hirea5eC+ODSV8BcPTYSTV90IC+vDB6OAOHjOHa9RskJSXx0ri3mPDmhxaP5ePjTUxMLKdPn2PmrPmMHDEkW7ZnhojIh3z7/VTWrN1EdHQMjRrV4+svPqBwoYK5ZoMlkkXN0WtrtozQnywKzlJbc3YRy0vvUYdvcqxVt65cuWVTxhk1uHrlCutXruKv//1G2PXrADRt0YJ5K5aZ5bP1l39U1GMaNevMtevG6CceHh6cOrqdokULc+vWHXr2HcbJU2cs7h8Y4M9ff/zIqTPneP9DJQpJ86aNWLd6vk3tTI+2HXunqlkOG/IMU3/+KtdsyAhHFzVnD5GVWZxVyGwhYI7a5OjUNbT8Tnx8PBvWrOHAnr3s3LqNM6dOpcozcLi592BONGP5+/uxevlc3nn/M3bu2kfJksV5+81xFC2qhP8qWrQw61bN46tvprB4ySquh93Ay8uTBvVq06J5E54fMZiiRQpRuXIFVdDOX7yU3iFtyvXrNyw2k67bsCXXbLAGR6+t5cQ8as2LlXY4UXM2IctLNbCM0GpoTsrdO3cY2Ku3WexHU7x9fHjt7YmMGjvWbHyZvftlpJTcuXuPkOCgVNFWdDodoUWqqAPAMxMIOaskJCTwzXdT+ezLH1JtK1iwAFfOH0i9k4PgqMKWV2tqziJkuSFgWg1NwyZIKdm4dh0fTnzLbFZrAE9PT5q3aU2nbl3p3L07oQUKmG23t5iBEgWkSOFCFre5urpSulQJLly8DCght3IyWHFSUhK9nhrO1m27LG6/d+8+A4eMISQkmDGjhlGjehWL+exFKI8cUtTyYk3NkcUsP9XAMkITNCciJjqal58fxfrVxqC+rq6uPDdmNE1atKBZyxb4+vnZ0cLsU7lSeVXQfvz5D6b+/CWenp45cqy/Z/ybppgls3T5GgDmzF3EhjULqVfX+tnDc4P8JmqQ+7U1RxIzTbzSRxM0J+LLjz4xE7OAgAAmT/mZrj2eTHc/R6iZWcuA/n1YuXoDAHPnL2bDxq0M6N+H4UP7U6VyBZsea8Wq9anSRo8cSnj4Axb+t8IsPT4+gS+//on5/06zqQ22ID+JGuRebS23hEwTKduRp8ah5WVioqOZN2uWuv7UgAFsPXQgXTEL5ZFTiRlAzye78ES3jur6/fAH/PzLNOo37kDXJ/pz+MgJmx2rdavUU+AIBDP+msKubSuZ+vPXfPDuBHXbxs3bzeJROhKO+jvn1Ms6p8XGVuWnHM9l6U/DdmiC5iSsW7Wa2JgYACpWqcy3U6ek6iNLxhmFLBkXFxdm/j2FSe+/QYkSxcy2bduxh3ad+rBj516bHKt0qRKp0ooUVfr3ateqzrAh/Zj4xstqzTAuLp633/vMJsfOCRz1d89JUcsJYbNFmZpY2QdN0JyE/+bNU5dbt2tnMTK+o77QMounpydvTHiJU0e3s3jhdHr16Iqbm9I6npCQwEvj3sIW3rmmg8CTuXDhcqq01197SV3+e8a/qWbbdjQc8T7IyRd8srBlR4hsUQZoQmZvNEFzEhJMIn5s2bDBbP4wR3yB2QJXV1c6dWjD7Jm/snv7Kry9vQAlYPLY8W9z6XL2+lGaNWmYKm3O3P949CjKLK1/v140aVxfXd9/4Ei2jptbOOJ9kdNNbZkVJluKmCZk9kcTNCeh/5DB6vKFc+c5ceyYQ76wcopqVSvR7ynjXGzTZ86lVr02fPjx11murXXp3I7PPzGfdbtIkUKpxr4JIShl0jzp75+zY+NsTfJ94mj3Sk73JaUlbraojWki5phkKGhCiJJCiM1CiNNCiJNCiPEm214WQpw1pH9tkj5ZCHFACNHasF5GCCGFEC+b5JkihBhu4/PJs7i4mDcxFvXWp5Ez7/LJR2+Zuc1LKdXJQZNFTafTsWXrLhb+t5zIyIfplvffkpV89Olks7SPPnjTbALYZIICjV6Ei5euQqfTZedU7IYjClsyOSlwWpNi/iDDSCFCiKJAUSnlISGEP3AQ6AUUBt4Fuksp44UQhaSUd4UQVYARwIfAdCllPyFEGWAvEAVUk1ImCCGmAAeklNPTO74WKQRm/T2dd141zg9WvVoV9u5cneEM03kRnU7H+g1b+e6H/7Fz9z41vXGjevTp1Z3lK9ayY5eSXrVqJWZNn0pk5EPCwx8Q/iCC0JBg2rdriV4vKVupAY8fRwPg5+fLlB+/4Om+PSwed+u2XXTrMVBdHzd2JAP796FC+bJqU6gz44hu/ynJiSEAGaGJl2UcNVJIpkNfCSGWAlOAkcDvUsoNKbZXB4YCk4CZUsqnDYK2AtiJImJ/aIKWPslf0Xfv3ad2/bZqv06Z0iWZ/+80qlerbE/z7E5CQgLPDBrFuvVbMr1vrZrVGDd2JM+PfhWA4sWLsmLJLCpVLJ/ufu9+8AU//PSbWZoSp3I+5co6zuBbW+LoQpcTIqeJWMY4qqBlqg/NIEx1UWpblYCWQoi9QoitQoiGAFLKk4APsAP4NUURXwIThBCuGRxnlKHJ8sCD8PvpZc1TWOrr+OKrH1Uxq1SxHLu3r8r3YgZKNP+5s37jtVfGqB6Q1nLs+ClVzAC6dWmfoZgBfDJpIu3atjRLu3XrDv0HjXbaJsiMML0nHbEvzlbNlFqfWN7A6jeBEMIPWAS8IqV8JIRwA4KBJkBDYL4QopxUeNlSGVLKy0KIfcBAS9tN8v0O/A5KDc1aG52NjF4M8fHxzJu/RF3/4rP3CQjwz2GrnAdPT08+mfQWo58fyqw5Czl85DhBQYGMGTWMDRu38cNPvxETG0dCQgJdOrfjcdRjtTnSlNCQEKuO5+Liwk/ff0bt+m3NBOzkqTNER8fkq9/G0r3rCLU5S4JkqRanCVfexCpBE0K4o4jZbCnlf4bkMOA/qbRZ7hNC6IECwL0MivscWAhsy5rJzk1mvm43b93FQ5Omxs4d2+SQVc5NiRLFeOvNcWZpdevU5I0JL5mlSSnp0+/ZVM2UHdq3svpYZcuUIiQkmHv3zFsO8pOYpUXKe9sRBA7yr3g5+nRDOYE1Xo4C+BM4LaX8zmTTEqCdIU8lwAPIsH1QSnkGOAU8kQV7nZasNNUsXLRcXe7Zo2u+dAKxJUII/vrjR7p16QCAr68PX33+Pk2bWN8VIKW0OEzA0Qdb2wNHbabMC6TVFGzpemcmr7NjTQ2tOTAEOC6EOGJIewf4C/hLCHECSACGSes9TD4DUs+omAfJ6s2yes1G/p33n7reu2dXW5mUrwkOCmTB3GnExsbh5uaKu7t7pvYXQrDg3z8YOPQFbt26o6afO3cxU8KYH0nvWchPtYi0sKewOGoTcmbJUNCklDuAtKoGg9NIT1nGFaCGyfpR8vig7uzenIsWr1SXixcvSv16tbNrkoYJ2XG1b9SwHpvX/UeVms3VtCpVbDsTQH4jo+fFGV+ueanm4yxo08fYEFvewKbRKJ7q86TFwb4a9mPiO5+oy5UrladB/Tr2MyYfkJlny9bil1+FyVGnJUoPTdBsQE7c8Kau+Tdv3bZ5+RpZZ+Wq9erEnwA/ff85rq7pjkTRyEXyqwDlBM4mapqgZZGcfmjq1FZbaFm5aj3x8fE5NnOzhvU8fhzNa29+qK4PHdyPFs0b29EiDY2cxZlELV8LmiN/yZn2mcXExHL4yAmziO8a9mH5ynWEhd0EoEBoCJ9+/LadLdLQ0EgmXwiaIwtXWgghqF+vNgcPHQVgzEtvsG/XGjw8PJBScubsBbZs3cmefQcJDQlmxLODtAgiucDJU2fU5aFD+hEaEmxHazQ0cgdnqaXlOUFzRvFKi88/eYeefYcSFxfP+QuXmDP3P/z8fPly8s+cPn3OLO9vf8ykd89u/Drla/z9/WxmQzgBeeqaZpfExCR12dPDw46WaGjkLs4gak4taHn9RduieWNeGz+Gz7/6EYCXxr2Vbv7FS1cR/iCC/+b/bdMI8JqoGalVs5q6fPTYKTtaoqGhkRKn8gXPq6Pb02P40P4Wa1y+vj70fLILX3/xAT2e6Kymb9u+m8HDXyQhISHbx3b0rzF7YDof26Ejx+xoiYZG7uPo712HFzQ3dPlKwFJSvHhRliycQamSxXF1daVM6ZK8/eY4Th7dzpx//sdLLzzHv7N+4+NJE9V91qzdxPOjX7VpBHhN3BQqVSyHr68PALdv3+XmTW1IhUb+wpHfxU7d5JhfaNK4PqeP70RKmWY8xwmvvMDjx9F8/c0UQIk0Eh+fwA/ffkrRooUzfUxNwCzj6upK3do11Kj9hw4fo1ixIna2ynlIijiuLrsF17SjJRp5EU3QnIiMghN/8O4Eoh495tffpwOwYtV6tm7fzfvvvMbokUMzPW9YSrS+NIV69WqrgrZ0+Rqe6N7JrvbklEiYlpsTZKd8TQw1LJHpGatzm3p1a8kdW5ZnnFEDAL1ezxsTP+J/f8wwS69Vsxo/ff8ZDRvUtaqctGpomqDB/gOHadOhNwDu7u6cPrYjS7XgzJDT4pLX0AQvZ/ENKuP8M1ZrOD4uLi58O/kjVi2bQ+VKxlmYjx0/RYcuT7N02Zp09lbQmhvTp2GDumpk/cTExFQfD9khKeK4xT+NzKFdx/yJJmh5lNatmrFnx2omffCG6sKflJTE0OfGsm7DliyXq4mdwssvPq8uz52/xOIcadaivXBzD+065200QcvDeHh48MZrL3Fg93oqVigHKKL24Udfp7mPJljW0b1bB3U4RVjYTS5dvpqp/TURsy/adc+baIKWDyhTpiRLFhqbxS5eupKt8jTRAzc3N1o0MwYl3mlwEskITcQcB+23yHtoXo75hNKlS+Dq6opOpyM6OkaL3m8D/AOMA94zanHUXpyOS1LE8Rx1InGE3z6/OMlogpZPEEIQHBzE/fvhAJw6fZ66dWqkymdNvDbN01HhypVr6nK5sqUs5nGEl5lGxiT/TrZ68Tva755fxv9pTY75iJIliqnLbTr0YsIbH6pToZiSlmDl54gtlrh85bq6XLZMakFztJeaRsZkpxnSWfpF87LnpyZo+YiJr4/FxUX5yZOSkvjfHzNo1b4nt27dSZXXVLw0IUvN48fR3Lt3H1Ccb1KOQ8trL4r8hrUv+7wgDHlJ4DRBy0c8+URnliyaQc0aVdW0O3fu8dyoV4iIfGhxH03ILPPgQYS6XLBgKK6uruq6s78UNIxYesnnlZd/Wjjz+WmCls9o37Ylu7ev4otP31PTtm3fTdMW3bh+/YbV5ej1enbu2sfVq9czzpwHSUhMVJe9NOeaPI8zv+Szg7OdsyZo+RAhBC+/NIIXRg1X066H3aDvMyOY/e8ili5bw9r1m9OMJP8gIpJhz71Mp279qFa7Je069cnWYG1nJCHBKGgeHu7qsjM9/Boa1uIswqZ5OeZThBB88/Uk6tatyagXJgBw8tQZdRmUMFp9enVj0gdvUrZMKR4/jmbsK2+zYOEys7L27jtE76eGM/Xnrxk2pF+unoe9MJ1vzt1dETRneOA1NLKDo9/jmqDlcwYN6MvZcxf49vtfU23T6/Us/G8Fy1euY9iQZzh46BgHDx1Ns6wXX36TR48e8fJLz6eZJ69wP/yBuuzl5enwD7qGRn5AEzQNPvrgTdq2acGmzdu5HnaTuNg4bty8zaHDyozM8fEJ/D7tH7N93N3dKVK4EIMG9GXVmg0cO34KgLff+4zmzRqZzeycF1m/Yau6XLtKsXRyamSWexe3ZWm/guVb2dgSDWdDEzQNhBC0bd2ctq2bm6Xv23+ICW9OUoUtmQ/fe503Xx+rrr/4wrN0e3IAJ06eQUrJkmWr87ygrVm7SV3u0r6RHS1xPrIqWLYoVxO9vI0maBpp0qhhPbZuXMKatZvYsWsfcXFxdO/WkfZtW5rlCw0Jpk3r5pw4eQaAqKjH9jA317hw8TIXLl4GwMfbkxZNUkdc0TCSUwKWFUxt0cQt75GnBc0Z+jUcPQyNi4sL3bp2oFvXDmnmiY2NY96Cpep6/Xq1c8M0u2FaO2vbog5enh52tMYxcSQRSwtN3PIeTi1oziBYGZHeOTi62CWzdt1mNWoGwNN9n7SjNTnPoX3b1eW2LaybATw/4AwilhaauOUNHF7QpC42TwhXVrB03o4ocqbjsAA2btqebo3OmUmKOM6Fy8b4l5UrlrSjNfbFmQUsPWwtbppY5h4OL2ga5qQUOUcQuC6d29GkcX327D0IwPKV6/KkoCVf+zv3jC77xYsWsJc5uU5eFbD0sPU526I8TRTTRhM0J8cRBM7FxYVXx43mmUGjAJg5az7Vq1Vm2JBn8PPzRQiR6zbZGtPrHBIcQNhNpYk1MjJvO8DkRxFzdFL+JprAGdFCX+Ux7BU5u1vXDnTq2EZdn/jOJxQpWYMGTTqy/8DhXLMjJ0h5HYsXMdbKLly2Pv6lM3Hv4jZNzJyE5N9K+820GlqeJ7dqcC4uLvzz9y90eaI/h48Yj3nm7AXadOhNp45t8PTw4HF0DEmJifTu1Z3RI4fmiC22xNJHQd1aFVi9cR8AO/aeoF+vNhw4cpbzl24QG5eAm6sL7VvVo0SxgrltbrbJ7y/EvEB+7rMTMqO54+1M3VoV5dZl39vbjDyNLUUuIvIh73/4Jes3brU4eagpc2f9xpNPdLbZsW1NWjXcnXtP0K3/2+p6aEgA4Q/Mp9kRQtCuZV2G9OtItw6N8fR0T1mMQ6EJWd7HluIWWPbJg1LKBjYr0EZogqZhEVuI3LnzF3nqmRFcvHTF4vZBA/ry+6/fZvs4OUF6zbVJSToadnyBS1duWVVWSLA/z/Rqy+CnO1CjallbmZgtNAHL32RX3DRByyKaoDk3SUk6jhy/wNUbd/nzn5Xs3HdS3Tb2+V589u4Ii/vZy3vT2n7HzTuO0GfYh+j1egACA3xp17IugQG+XL52m607LQdxrlurAoOf7shTPVoRFOBnM7vTQhMujYzIirhpgpZFNEFzfhISEuk/8lM2bjukpgX4+7Bj1U+ULlE4y+VmRfRs6Shz8fJN9h06Q1CgH21bmkcMuRp2hzkLNzJ7wQau37yXal8vTw96dGnGkGc60qJxDVxcsuefpQmXhi2wVtw0QcsimqA5Pz//sZj3Pv9LXa9euQy/ffcaNas5RvNbTqLX69my8yizFmxgxdrdxJtMDJpM6ZKFGfxUB7p0aETViqVwd8+cr5YmZho5RVoCpwlaFtEEzfbExydy8cpNrly7TeFCwdSuXh43N1ezPLfvPuBa2F3c3d0I8POhdMnCqfKYotPpWLl+L4+jY+nctgGhIYHqtqef+4h1mw8A0Ktbc/74fkKq6CL5gQeRUSxcupV/Fqzn2MlLFvN4erhTo2pZ6tQsT92aFalTowJVKpZMV+ScTdD0ekl4ZDQAnh5ueHq4ceFqOP+uOMLVm5HUrVqMob3rUSDY186WaqRFhQ6THVLQNLf9fMbshRuY8P6vxMYZZ1wuGBpE3ydb0q1jYxrWrcyXP87lp9//w/Rjx9PDndo1ytOjSzN6d29h5pKu0+noO3wSm3ccUfO2bVGHJ7s0Q6/Xq2IG0KZ5nXwpZgAhQf6MGvYEo4Y9wdGTF5k1fwPzl24h8qFxcHZ8QiIHj57j4NFzwGpAaZ6sUbUsdWtWoEnDanTr0Agfby87nYV1SCl5EBnDlRsRXA6LUP9fvRHB1ZuRxMalrqkms/vwNf5ceICnu9bkmW61qFKuoF0H5ycL8M27UTyMiqNoIX9KFgnEy9OdsNsP2brvEqcu3MXV1QV/X0+qVShEverFKVrQ324251e0Glo+4u69COq0GUV0TFy2y2pcvyp1a1agUMFgDh8/z/I1u63ab/HMj2nXUgvom0xcfAIr1+9l6aqdHD5+nmthdzPcJ8Dfh6d6tGZIv46U8Llp9rLX6fRcCnvAyfN3OHn+Ducu3wcBoYE+hAT5EBLojZ+vJ2cv3ePgyRvcfxBN0UIBdG1ViZ4dqlGsUACnLtzl5392EfkoljpVi/F8v4YZ1pbiE5LYfzyMddvPcfzcHS6HPeBxTEK6+1hLwRBfWtQvQ8sGZWhevwyhQT4Z7nM/IpoT5+4QEuhNzcpF0hREvV7yz9JDrN95gdi4REICvQkJ8kGn03PzbhS37j3i9v3HJCbqUu3r5+OR7jnWrlKU/t1r07dzDVxcnD9ajimOWkPTBC0fsXD5NkaMm6yut2xSk3MXw7hzL8Ji/uJFCxAaEsC9+5HcuvPAYp7MEnFxabYdIPIy4Q8ecuTERQ4fv8CRExc4cuyCRaeSZKqUK0iVcgVxdXXh0vUHnLl0L93aT0b4ersTG5+EXm98LwT4efLCgCbUqFyEpCQdN24/IuzOQ27eUf7fuP2IO+GZCwEW4OeJh7srcfFJxCck4ePtQdO6pahfvTjLN53m2NnbFvcTAqpXLEzLBmVp2aAMdasVw93QFC6lJOz2Q5ZuPMUvs/eoItS8fml+/6QPnh5Kg1RCoo5JP23g2NlbnLmU9rW1Ff261uLzCY473jIraIKWRTRBsx2LVmznuZe/BuDJLk2Z9es76HQ6tu0+zrI1u9i++xjnL93Ax9uT5wZ25aO3hqv9ZvfDH7J64z7+W7GdrbuOotPpU5VfMDSIveum8DAqhhVrd7N87W72HTqjbm/RuAYr/v08T8R2zE3uhz/kyIkL7D98lvlLt1g9/s3e+Hq7U7p4MGVLhFCmeDBlSgQr/4sHExzoneZ+Ukp2HbrKgjXH2XnwKhGPYtPM6+PlTvEigRQI9uFKWAS37kVZzNe9TRVeGNgYPx9Pfp+7lzkrLA+rSItAfy+KFfInwM+Lm3cfcePOI/R6iYe7K03qlKJZvdJ4erhyNzyaI6dvcuB4GIlJxmekVLEgypcMITTYl26tK9OqoXM7RGmClkU0QbMdazftp9+IjwHo2KY+C/+elCrPg4hH+Pv5pOuEcD/8IVt2HeXW7XDu3o/k7r0IAgN8GTmkOxXLlzDLe+deBFev30FKSb1aFTPtwadhjpSSXftO8s/89SxZtcOsLzSZwqF+VKtYmOoVC1G9QmE83F15EBlD+MNYHkTGEPkojuKFA2hQswRlSwSz+8g1Fq45zsnzd3j0OB5QXsD9utZi7sqjhN1+mKFdLi6CEkUCadekPG0bl6NimQIUDMl+YGqdTs/J83fYfuAK2w9c5vCpm+j0tn9nlSoWxBcTuvDocRwPHsYiBBQt6E+xQgEULeiPj7f5JK4JiTruhj8mNMgHb6/UfcIRD2N557s1rN95weLxPh7fkYFP1rH5eeQWmqBlEU3QbMeOPcfpPuAdAJo1rM7q+V/a2SKN7PDwUTQrl8wlKjqehAQdRQr6U71iIQqGZG3AtpSS8MgYHsckUKpoEC4ugti4RJZsOMmeI9e5fS8KF1dBicKBFC8SYPgfSInCARQp6K82/eUkUY/j2X3kqkHgrqQSW39fT6qWL0TbxuUY2rseb3y1ilVbz6ZZXr+utfD382DUM42t6pvLDNGxCUz4YiUbdqUWNVcXwfsvtWdQjzpO2WKhCVoW0QTNdixbs4shL3wBQKe2DVjw14d2tkjDFjib276tkFLy4GEsd+5Hce9BDEEBXlSvWBg3VxezPIvXn2T11rNcuRFBbHwSwQFeVK9YhJeHNKV44cB0jmAbwiNj2HnwCpfDIli68RTXbkaq2yqXLUCrhmUpUyKEEoUDKFUsiJJFg3LcpuziqIKmtf/kI65ev6MuZydCh4aGIyCEIDTIJ92alRCCPp1q0KdTjVy0zJzQIB96tK8GwMAnazPinUWcuqB4s569fJ+zl++b5W9cuyQ/f9CDkEDb1hjzA5q7WT7CTNBKaoKWV8hvU4Q4MwVD/Jj/40BG9muIl6fl+sTeo9cZ98ly7j3I25PH5gRaDS0fcfLMFXW5VIlC9jNEw+Yki1p+bX50Jrw83Zk4qg0vDmzKnqPXOHn+DmG3H3I5LIKjZxQP1j1HrtFywG90a1OZV4e3cIpmSEcgwxqaEKKkEGKzEOK0EOKkEGK8IX2SEOKGEOKI4a+byT6ThRAHhBCtDetlhBBSCPGySZ4pQojhOXBOGhY4d/E6u/Yrke5dXFxoWLeKnS3SyAm02prz4O/nScfmFXlleAu+eas7i6YMZtzQZur2JJ2eZRtP0/m5v9h58Ir9DHUirGlyTAImSCmrAk2Al4QQ1QzbvpdS1jH8rQIQQiS/KVsBL5mUcxcYL4Qw93/VyHEiHz1WnUEAOrWpT7EioXa0SCMn0UTNeXl5SDN+fPdJGtY0Dn9JSNTx0ZSNOLoDnyOQoaBJKW9JKQ8ZlqOA00DxdHZxBfSABEz9Ue8BG4FhWbZWI0t88MV0zpy/DoCHhxtvvtzfzhZp5DSaqDknQgi6t63Cv98P4NNXO6npl64/oMeYmZw4fyedvTUy5RQihCgD1AX2GpLGCiGOCSH+EkIEA0gpTwI+wA7g1xRFfAlMEEKkO2BFCDHK0GR5IDw840GdGumzdZcxKsKPn4+lfp1KdrRGI7fQRM25ebpLTQqGGGNonr54l14vzGThmuMWI/VoZELQhBB+wCLgFSnlIxSxKg/UAW4B3ybnlVK+LKWsL6XcZFqGlPIysA8YmN6xpJS/SykbSCkbhIbm/DgRZ+Lho2gWLN3CVz/9y99z1nDvfmS6+a+G3eH6DWPA2x5dmqWTWyOvoYma8+Lq6sIfn/WldPEgs/S3vllDzxdm2scoB8cqQRNCuKOI2Wwp5X8AUso7UkqdlFIP/AE0svKYnwMTrT22hsKDiEd8PHkm1Zo9y/OvfMvn38/hlXd/oX77MSxfaznSvU6nY8L7v6pfc80aVsfPN+0Yehp5E03UnJcaFQuzccZI/v1+AB7uxoatM5fuMeDVf7MViDovYo2XowD+BE5LKb8zSS9qkq03cMKaA0opzwCngCcyZ2r+RErJ9/9bSM2Wz/Pt1AU8jjYP1PrwUTTPvvw1ew+eTrXvB19OZ/2Wg+r6u68NynF7NRwTTdScm4Y1S7Dqj2fN0vYfD+OjnzfYySLHxJpaUnNgCNAuhYv+10KI40KIY0Bb4NVMHPczoESGuTQ4dPQ8k76aYSZklcqX4PnB3VRPxcTEJCZ88D8zL6g5izYyZdoSdf2VMX1p0aRmrtmt4XhoouZY7D8exoQvV/Lk6Bm8/uVKVm09S0xs2vOrlSkRzJzv+tO4dkk17b/1J7l93/IMA/kRLZajg3Ps1CVadh+vro8c0p2vJ43CxcWFq2F3aNzxRTXi+rhRfXj5+V7o9HoadXyRR1ExADzRqQn//Pq2Ng+Zhoo2ANu+/DhjJz//sytVenCgN+OGNqN/99rpBnvuO3aWOgh7ygc96NKqco7ZaglHjeWoveEcnFrVyjGgTzt1/XF0rCpMpUsUpnljY4y6n37/j4qNhlKlyXBVzCqULc5v372miZmGGVptzX4kJumYsfigxW0RD2P56OeNdHv+b9bvPJ9q7Fl0bAIbdl0wm5g0B2bTcVq0t5wTMGqYsbtx6eqdxMUbmyVaN6ud7r7fffqC5giioeFAPI5OUOedA/jtk96MHdKUYoUC1LTLYRG88OESRryziCthEcxcfIhhb86nfq+fGfPBYuITkgBl5u/m9Urn+jk4KlosRyegTo3y6nJMbDznL96gZjVlxtsXn+tJmVJFOHTsPHsPnObA0bMkJCTh5ubKexMGZyh4GvmXguVbaU2PdiAowIvCBfy4c18JPuwiBK8Ma8ELA5owc/Ehps7ZQ1S0Injb9l+mw/BpFssRAj4Z34lAf69cs93R0QTNwZFS8vJbP5uleXsZo4e5ubnSo0szdXxZXHwCN27dp1CBIPz9tOknNDQcDSEET7atyrQF+wGYs+IobZuUx9PDjZHPNKJvlxr0fWkW19OYKbxy2QI0qFmCHu2qUr+G5ltniiZoDszFyzdp2PEFs6gAo4c9QYVyaUce8/L0oHyZYrlhnkYeQKul2YdnutdSBW3/setm20ICfVj++3De/34dq7edRbgImtUtRfumFWjbpDxFC/rbw2SnQBM0B2bsxJ/MxKx39xZ88f7zdrRIIy+iiVruU6Z4sLr8OCYBvV7i4mIMfevn48H37z7B1xO7IoQwm4VbI220q+SgHD5+QZ3uBaBksYJMnjQaV9d0w2BqaGQJzesxd7n3IFpd9vV2NxMzU9zdXDUxywTalXJAJn09gzY9jOPUXVxc2L/xVwoWCLKfURp5Hk3Uco+VW86oy9UqaLPH2wpN0ByMpCSdWYQPgA/eGIK3l6d9DNLIVxQs30oTthxGSsn81cfV9Z4dqqWTWyMzaILmYNy++4DExCR1/ffvXuOV0X3taJFGfkQTtZzj6JlbnL9yHwAfL3eeaFvVzhblHTRBczD2HDilLtepWYFnerdFiQ+toZG7aKKWM8xfZayddWtTBT8fj3Rya2QGTdAciPj4RCZ9NUNdr1WtnB2t0dDQRM3WPI5JYMVm48wY/bppAcNtiSZoDsR/K7Zz/aYSoy04yJ+3xg+ws0UaGpqo2ZJVW88QY5jDrHypUOpW1caM2hJN0ByIbbuPqsuDn+5A8aIF7GiNhoYRTdRsw/xVx9Tlft1qat0JNkYTNAfi9Plr6vLPfyzm029npYq2raFhLzRRyx5XwiI4clqZ8sXdzYVeHarb2aK8hyZoDkSp4ubjUSZPmcd/K3fYyRoNjdRoopZ1dh2+qi63aFCW0CAt1qqt0QTNgZg6eTxvvzKQwABfNW3C+79y8swV+xmloZECbaxa1th/LExdblqnlB0tybtoguZA+Pl689b4ARzZ8rsqahGRUbw56Tc7W6ahkZpkYdPEzTrOXDZOylm/RtoBxjWyjiZoDkhIcAB//fSGun72Qlg6uTU07I8mbOmj10uu34pU18uWCE47s0aW0QTNQdHGoGk4I5qwWWbrvkvExSsRgEKCfAjw0yblzAm06WOcgPCIR0gpNRdfDachWdTy+7Q0STo9/644wuQ/jNehU/MKdrQob6PV0BwUb29PXFyUn0ev1/PzH4vtbJGGRubJz/1s8QlJPP/OIj76eaM6mDo4wJuXhzS3s2V5F03QHBR/Px9GDummrr//xd8MGvM5m3cc0camaTgl+U3YZi87wo6DV9T10sWDmDm5H4UL+NnPqDyOJmgOzGfvjqBWdWNf2oq1u+k15H3a9nqNFet2o9fr09lbQ8MxyS/CtnX/JXW5d8fqrPx9OFXLF7KjRXkfTdAcGHd3Nz57dwTeXubRuA8fu8Cg0Z/TrOvLzF+yhaQknZ0s1NDIOnld2GJiE9Xlvp1r4OXpbkdr8geaoDk4rZrW4vSeGSya/hEjh3THy9MobqfPXWPkq99Sv/0Y/p6zhvj4xHRK0tBwTPKqqJlGAol8FGtHS/IPmqA5AcGBfnRoXY9vPh7D8e3TGD+6L36+3ur2K9du88q7v1CnzUim/rWU6Jg4O1qroZF58mJtzVTQ7kfE2NGS/IMmaE5GoYLBfPzWcI7v+JN3Xh1IcJC/uu3m7XDe/mQaNVuOYPKUeUQ+emxHSzU0Mk9eErZAf+NYs4dR2kdmbqAJmpMSEuTPxHEDOL59Gp+8/SyFCxojD4Q/eMSn386iZosRfDx5JvfDH9rRUg2NzJMXRO3m3UfqckiQdzo5NWyFcHQX8Lq1Ksqty763txkOT1x8ArMWbODH/y3i2o27Ztu8vTwYPqALL4/src2xpuF0ZHdwdkpxtMVg74dRcew7dh0PdzdCAr0JNvx5e7rzMCqOZZtO8enUTSS/Xud8159GtUpm+7iOQoUOkw9KKRvY246UaIKWx0hMTGLBsq18N3UB5y/dMNvm7u7G6y/14/WX+uHm5monCzU0skZ6QpTVGl1WxC1Jp6fLc39x5UaEVfkb1y7JP5OfwcUl70T6cVRB05oc8xju7m4M7Nuevet+YcYvb1HTJCZkYmISX/wwhycHvkvYzXvplJKa6Jg4zdlEwyHJreZJvV5y4HgY73231moxK1UsiJ/e75GnxMyR0QQtj+Lq6kqvbs3ZvuIHFv79IfVrV1K37dp/kubdxrF87W6rypq/ZAvFa/SjeI1+tO7xKqvW79WilWg4DPcubsvxmJFSSoZPnE//V/9l4doTqbYXKeiPh7vS6uHr40GVcgV5Z0xblk4dqk3kmYtoTY75BJ1Ox3dTF/LFj3PQ6YwRRtq1rEuDOpXw9fHG18cLHx9PSpUoTJP6VXF3dyM2Lp4aLUakcixp3bw2f/34BgVCA3P7VDTyKdaKlrU1tsyI4JlLd3li1Iw0tx/4byyB/l7o9BI317xfT3DUJkct2n4+wdXVlTdefoaWTWvy/PhvuG5octy0/TCbth9OlT8wwJdObRuw//BZi16SW3ceZdCYz1g++zM8PLQICBqOQ7JQpSdsma3R3bmf/hCYexHRBAV44+aqNS3ak7z/KaFhRpMG1di+6id6dUs/4vfDR9EsWLqVK9duq2nvvjqIkUO6q9PY7Dlwmo+/+SdH7dXQyCppNUVmpXmycrmC6rK7uysfj+9IuZIhAFQpV5CyJUKybqiGzdBqaPmQ4EA/ZvzyFifPXGH/4bPcvH2f6Jg4YmLjiXocw+79Jwm7ed9sn/at6vH62H64uLhQsnghPvjybwBmLdjAp+88Z4/T0NCwClv0rxUp4E/ZEsFcDosgMVFHxTIFWPvXc4RHxuDv65kvmhmdAU3Q8jHVq5ShepUyqdKllBw7dYl1mw8Q9TiWYoVDGNyvozo/27hRvfnyxznExMYTERnFg8goQkwilmho5EUKhvhxOUzxbkxM1CGEoECwr52t0jBFEzSNVAghqF29PLWrl09ze9lSRTl59goAJ05fplXTWrlooYaGbZBS8vUfW1m19SwligRSo1JhalQsQqUyBShXKgR3w3hNvV5y9rJxqEuRgtoHnCOiCZpGlqhepYwqaPsOndEETcOhkVLy8z+7OHn+Ll1aVaJ3x+oALN90mj/m7wfgxp1H7D16Xd2nWKEAFv8ymNBgX05fvKvGYywY4kvZEsGpD6JhdzRB08g0UkrWbz2ort+7H2k/YzQ0rGDN9nP8NHMXABt3X6BwqB/N6pU2m1E6JTfvPmLpxtM891QD9hy9pqY3rl1SdYzScCy0nkwNq0lMTGLmvHU06vgiEZFRanrfJ50/kKxG3mbrvstm638uVGplpoOeixUK4MWBTczynb+qOEftOWKsuTWpXSqnzNTIJloNTcMqEhIS6fvsJLbtOmaWPnJIdxrVq2InqzQ0rOP8FXOv3a37LnPuyn0a1y6lNjkG+nvx2nMtqVS2AK98tgKARWtPUKtyEfYeMdbQmtTRBM1R0QRNwypmL9xoJmYuLi707t6C914fbEerNDQyRq+XqQQNYPjE+ZQsEqSuR8cmANCuSXlKFgnk+u2H6PWS939Yr+YpUSSQ0sWD0HBMtCZHDavYc+CUuvxEpyac2vUXf/30BkEBfna0SkMjY27ceUhMXKK6ntz9dTc8moMnjTNSNDXUvHy8PZj9XX8qlA5NVdaAJ2pr/WcOjCZoGlZRsECQulyhXHGKFk79sGto5CTJoax0Oj0RD2NJTNJZtd+GXRfU5WZ1S/HVG13x9fEwy1O5bAHeeN7YF1ysUABzvx9An07VCfT3ws/Hg6G96vH80w1tcCYaOYXW5KhhFUUKGUP7hD94lE5ODQ3bo9frmfjRHyxYupHIR7FICR7urlQtX4jqFQtTo1JhqpUvRIEQX/x8PLkfEc2tu4/YdyyM3+ftU8vp2royfTrVoHXDsmzac4k74VFULF2ANo3L4elh/joMCvDm6ze7qTNLaDUzx0cTNA2r2LHnuLpcrXJpO1qikR9ZsW4Pv89cYZaWkKjj6JlbHD1zy6oyihcOoEf7agCEBvvydNeaVu2nCZnzoDU5aljFxSs31eWoxzF2tEQjP/LLn0vM1lM2GWZEySKBTJ3UC1/vzO2n4VxoNTQNq6hbswLnLoYB8Pn3c4h8+JhJbw7H01ObOkYj5zlx+oq6vGXWKEoUCSQ8MoaT5+9w4vwdTp67zaWwCCIfxRIVHU9IoA+FC/hRrmQILRuUoWPziqmaFDXyHhn+wkKIksBMoAigB36XUv5osv11YDJQUEp535A2GWgLTJBSbhVClAEuA+OklD8b8kwBDkgpp9v0jDRyhEkTh7Nj7wlu3FLcn6f+tYztu4+zbcUPatBiDY2cQEpJTGy8up4cRzE0yIdWDcvSqmFZe5mm4WBY8yZKQhGmqkAT4CUhRDVQxa4joI46FEIkj7JtBbxkUs5dYLwQQqvzOyHFioQy/88PzNKOn77Mhcs30thDQ8M23LkXgV6vzLLu7eWuTdWikSYZ1tCklLeAW4blKCHEaaA4cAr4HngTWGqyiytKTU4Cpr2p94CdwDDgD1sYr5G71KhalpLFCqqzXRcIDaRsqaJ2tkojL3Lx8k0WLNvK7bsPOHLC6HZfq3IRO1ql4ehkqlHZ0HRYF9grhOgB3JBSHjX1ApJSnhRC+AA7gDdSFPElsFoI8Ve2rNawCxev3FTFDODXya/g7q71S2jYll/+XML7X/yNTqdPta1x7ZJ2sEjDWbD6bSSE8AMWAa+gNEO+C3SylFdK+XIa6ZeFEPuAgRkcaxQwCqBksYLpZdXIRYICfPHwcCMhIQmA4CAtSoiGbfln/nre+fRPi9u8vdzp0a5aLluk4UxY1RgthHBHEbPZUsr/gPJAWeCoEOIKUAI4JISwpj3gc2BieseWUv4upWwgpWwQGhpojYkauUBoSCD9erZR1zduO2w/YzTyHGE37zHxo9/V9To1K/DW+AG0blSWbq0rM+PrpymjzUOmkQ7WeDkK4E/gtJTyOwAp5XGgkEmeK0CDZC/H9JBSnhFCnAKeAPZllF/DsWhYtwqzFmwA4JLJ2DQNjezy1id/EB2jTKJZuUJJVs39Al8fL+49WcLOlmk4C9bU0JoDQ4B2Qogjhr9u2TzuZyi1Og0nQkrJ/iNn1XWt/0zDVqzbfIDla3ar6z9+/hK+Pl52tEjDGbHGy3EH5t6KlvKUyWD7FaCGyfpRtCglToVer+fdz/5k1nzjVBpNG1a3o0UaeQUpJe98Ok1dH/x0B+3e0sgSmqhopElSkg6dTkfEw8eMGP8NU/9apm7r0Loe/Xu3taN1GnmF85fCOH9JGc/o5+vNx28Nt69BGumSPOuBI6K1GWmYIaVk1oINfPHDHG7cuo8QQo02nkyPLs3444cJuLm52slKjbyEaRQQT093Avx91fV7F7fZwySNNHBkMQOthqaRglkLNjB24k9qiKuUYvb84G5Mn/ImXp5awBcN21ClYilCQwIAZWqixSt32NkiDUs4upiBJmgaKZgxd22qNCEElSuU5H/fvMo3H4/B1VWrmWnYDi9PD54fbPQzW71RcX7WameOgzOIGWhNjhopMA00/PfPb/Jk56bo9HqtRqaRo5jOiC6E0MTMgXAWMQNN0DRMiI2L59adcHXd08Mdd3c3tAliNHKa5WuNLvsVi2kNR46CM4kZaIKmYcKn387iWthdAAL8fWjRxLoZfTU0skPYzXts23UMACHgibZVMthDI6dxNiFLRvsU0gDgcXQsf8xcqa5//NazBAb4prOHhoZtmDF3rep81KxeaYoU8LezRfkbZxUz0GpoGgbuhT8kPiFRXX+6Z2s7WqOR19m17yQLlm3l1Nkr7DlwWk3v06lGOntpaKSPJmgaAJQuUchsrrOde0/QuV1DO1ulkRfZuO0QfYZ9mCq9ctkCdGtd2Q4WWU9Coo5t+y/z4GEMLRuUpWjB9GuTDx7GsGn3RdbtPM+tu48YN7Q5HZtXVLdLKTGdfsveOHPtDDRB0zDg4uJCwQJBqqA50kOmkbeY/PO8VGlN65biy9e74O7gg/U//99mZi1VZpkIDvRm3g8DKVcyxGLexetO8N4P64k3TLcEMP7T5Sz5dSgFgn34Ztp2Vm45Tc3KRXnt2RbUq148V84hLZxdzEATNA0DMbFxHD99WV1vUKeSHa3RyMucuXBdXW5UqyQfj+9IhdKhdrTIOqIexzN3xVF1PeJhLC99tJQlU4fg6WH+Kl2/8zxvTl5NirgEJCTqeOOrVQT5e7Hz0FUA9hy5xoBX/2XZ/4ZRuZx95n/MC2IGmlOIhoFDR8+TmKh8SVYqX4KQ4AA7W6SRV6lYzlgT2XfsOq9+voK4+MR09nAMrt6KJCnFLNrnr9znne/WotcblevS9Qe8/tUqVcyKFvRn3NBmquidPH9HFbNkdHrJgRNhOXsCaZBXxAy0GpqGgT0HjR3zTRposwLnF0wHMNvyxZbewOghT1Ri36Ez6vrpi3dZtfWswzuExMQmWExfuuEUPl7ufDy+I9Gxibw4aQnRMUrekkUDWTRlMCGBPpy9dI+1O86nU37ui3peEjPQBE3DwF4zQatqR0s0cgNLgpNb0TlCAn1SpV27FZkrx84O3p7GEAPVKhSiVuUizF2pjJ/7d8VRTl+8S3hkDNdvPQTA08ONXz7sqZ5vs3ql0xW0WlWK5qD1qclrYgZak6OGgXMXjc0dEz/6nTCDc4hG3uLexW12Dyu1bOMps3U3Vxd6d3T8+c98fYzh38IjY/h4fCd6dTC2Zhw5fUsVM4BPXulItQqF1fXubaoQGpRazAF8vd2pW61YDlidv9AETQOA8mWMD1PU41i+nbrAjtZo2JJkEUsWsshHsWzYdYGFa45z8vydXLfn5t1HZus/f9CD0sWCc92OzFKqWBDeXkot7c79x9y+H8WXb3SlRzvzFg0Pd1e+fL1LqibUoABvpk7qSZC/F6FBPnwwtr26rUCILx7uuefhmRdrZ6A1OWoY+PaTF6jTeqS6PmvBeqpVLk3X9o0oUcw+nlca2SNlTezomVtMm7+fDbsvkJioU9Of6VaLz17rnGt2FS9sdDh6qktNs3FZjoybqwu1qxRlz5FrABw+dZPubarw7dvd6du5BgdO3KBYoQBaNSxL4QJ+FsuoX6MEexa+hJSSx9EJfDxlIwD3H0Sj0+lxddXqGNlBu3oaAJQtVYSxz/dS1xMSknj9g//RoP0Ytuw8mvaOGg6HlJLBz71Jwz5T+PCn9URFx3Pz7iP6jZvN6m1nzcQMYN6qY9y5/zjX7OvexhircdHa45ywQy0xq9QzaRY8dFKZZVsIQfP6ZRg/rDlPd62Zppgl4+bqgrubK0EBXhQIVpogo2MTOWgoTyPraIKmoTJ62JMUDA0yS4uNS2DQ6M+0PjUn4vjeVSzffJqIR7HMXnaEuj1/ou3g39HpZbr7rdxyhqUbT3E57EGO2te0bmnaNikPgJTwyZSNqSaSdVTq1zAOOTh08ma2yhJC0Lmlcbznqq1ns1VeZrB3P2pOoQmahkqpEoXYuvx7Xnvxafo+2UoNTvw4OpZ3Pv3TztZpWMO9i9soHJq6hpCWmL01qjX7Fr1En7H/MP7T5Uz4YiWdnv2T+auP5aid74xpg7ub8vo5ePIG2/ZfzmAPx6BOVWMN7dSFO2m68ltL11bGUF9rtp1Fl2Kcm0bm0ARNw4ziRQvw4RtD+eunN5j7x/tq+tLVO1m4PG9+1eUVkr+6XVwEc78fkGH+7m2q8Hy/Rty4/cisyVFK+PbP7Tn6ci1bIoSBT9ZR1+evylkBtRWB/l5qVBOdXnL8XPaaSxvWLKE2O96PiGH/cfsMrs4raIKmkSbNGlVnQJ926vqoV7/lix/mEO8EUR3yE5Zc8RvULMG22aMZ2qsebmk4GiQlKYF2v5++I9W28MgY7kVE54i9yTzTvba6vOfodaepndSoaHTFv3w9e82zrq4udDGppWnNjtlDEzSNdPns3efUUEU6nZ4vf/yXBh3GsHHbId797E8qNRrK2Ik/EfU4xs6W5h9M3fDTeykVKxzAB2Pbc2btBE6tfo2FPw8y2752x3mee3thms19LjkcoLpi6VAKhijN2g+j4li/M+1Bx46Kh0f2Xe1NZxhYu/1cqvBaGtajCZpGuoSGBLLi389pWNf40F0Lu0ufYR8yZdoS7tyL4J/563n1val2tDJvc+vcFqsELD083F3THNSbFqaRMXICIQRdTJwiXvlsBZOnbTOLi+hoJOn0nL54V11PHpeWHepXL64Ke3hkDMfP3s52mfkVTdA0MqRIoRDWLviKbz4ak2ae02evprlNI/Mki9eiuTOo3/tnOg6fxoZdF7JVpnsmBu727VwDfz/PbB3PGsYObqr2ISXp9Pw2dy+zlx/O8eNmlb8XHuDs5fuA8pFQ3wZTvri6uph5T17PxTBgea3ZURtYrWEVrq6ujBzanSKFQxg85vNU24sXK2AHq/IG6b1UZi87QnRMApdjEhjzwWKa1S1F70416NCsAv6+mROctOYaa1KnFFJKpFTm+Br0ZB2a1i2VqbKzSmiwL3N/GMiEL1Zy9MwtABatPcGQnvVy5fjWIqVkwZrjfPOn8bcaN7Q5hSx4lGaFYoWMg81v3HmUTk6N9NAETSNTPNGpCe9NGMymbYfZtf+kmt69YxM7WuXYZOcr2NvL/BHddfgauw5fw8VFUKZ4MJXLFqRyuQJULluQKuUKUrxwIC4ulvu+tu67lCrtiwldeLprzSzbZwvKFA/mry+eon7vnwE4e+keCYm6XA0FlRbhkTEsXneCeauOcTksQk2vXrEwI55uYLPjmEZPOX/1vs3KtYZ7F7flmVBYmqBpZAohBG+MfYaGdavQc/B7AAT4+/BUj9Z2tsz+5ETzzesjWrFux3kSUkT30Osll64/4NL1B6zeZvSM8/XxoHJZReCSRa5y2YK4ubnw9R9bU5VftUIhm9ucFQL9vShVLIhrNyNJTNJz4HgYzeqVtps9CYk6vv5jK7OXH0kVWaV8qVD++LSPTWfXrlfN2OS4YvMZmtcrQ9/Ojj2djiOiCZpGlvhr9mp1uX/vdvj6eNnRGvuR030QJYoEsv3fMfw0cyezlx3JMH90TAKHTt60OoqFuwPFDmzTqBwzlxwCYN3O83YTtMQkHSPfW8TOg+b9wn4+Hgx4ojYvD2mGj7dHGntnjRqVCtOgRnEOnLiBXi9574d1NK1TimKFtYl2M4Pj3M0aTsPtuw9YuX6Puv7coC52tCZ3sdZl3paEBvnw0biOrP3rOdo1LZ9mvuTIG5nBkYLhdmphDFK8cssZoqLj7WLHV79vNROzmpWK8OXrXdg17wUmjmpjczEDpeXjlw97UrJoIACJiTr2Hb9u8+OkRV5xDnGcu1nDaZg5dx1JSUozTLOG1alayX5NQ7lBbgtYWpQvFcrvn/Thn2+eobrJ4N5kEpMyP34pPNJxxg82qFmCogX9AYh4GEuX5/5i4ZrjuWrDyi1nmP7fQXV9zIDG/PfLYJ7qUjNHhMyU0GBfs/nTVmw6k6qpWSN9NEHTyBSJiUnMmLdWXR8xuKsdrcmfNK1TisW/DGHyxG4UMQiANbi4CBrUKG42KeXOg1dywMKs4ebqwrihzdX1O+GPeee7tanmT8spHkbFqdO5AHRuUZEJz7VE5PAAc1NMhwFs2XeJPxfsz7Vj5wU0QdPIFN/9uoCwm4oXVoHQQJ7s3MzOFuU8Bcu3Uv8cBRcXQe+O1Vn/9wief7qhVfvo9ZIDJ25w8oJxYPDUOXto/syvPD1uNhEPY3PKXKt5qksNPD2MXft6vSQ2LndCrX3z5za1xlq4gB9fvtE1V8UMYEivujQ36Tvcc/Rarh3b3i0QtkATNA2rOXryIl//PE9df2V0XzxzOJqEo+Fo4ubt5c5bo9vwRNsqGWc2cP7KfTPX/jvhjzl86iZD3piXzl65gxACVxPb2jYpT/lSoTl+3NMX7/LvCuO8fx+ObZ/pcX62wN3NlR7tjTXo4ADvXLfBmdEETcNqPvxyutp31qRBVV58roedLbIvjiRs74xpS8kigVbn1+ulmXAAdnmBW6K4yXlUr5g7wwpMxaxt43J2nUVbpzf2hcbFJ9nNDmdEEzQNq7h1J5zNO46o61O+HIerq/0HvjoCprU2ewlcoVA/VvwxnK/e6MqgHnUI9M94GMWEES3N1suUCM4p8zLFqH7GJtTD2ZxE0xri4hNZvum0uv58v0a53tRoimk/2tZ9lxyiKdhZ0MahaVjFoyijN1yB0EAqli9hR2scm6yKWnb7MHy9PejbuQZ9O9fg7dFtWLrxNGu3n+XKjUju3H9MfIL5135Cop7PXuvMu98pTj7rdpznw7Ht8bJzM3LNykXV5Ss3jNE5LlwN56MpG7h1N4qCob6MHdSU5vXLZPt4W/ddVocIlCoWRKNa9r23y5UMwc/Hg8cxCSQm6blx5yHBgVrTozVogqZhFUUKheDm5kpSko774Q9597M/eW5QV8qXUWbw1el07DlwmmthdylTqjD1alXKd/1r2SVZCG3ROe/l6c4z3WrxTLdagBKL8NHjeH6auZMZi5XBy1P+2cXUj3qp+zyMiuPeg2hKFg3K9vGzQ8miSvguvV5y8+4j4hOS0On0jHxvEddvPQQUoRt+fAHvv9ieob2zF/fxwUPjx1q9asXsWjsD2HPkGo9jlJmwvb3cKVsyxK72OBOaoGlYRWCAL4Oe6sCMucrX/JRpS5gybQmVypegQ+t67D5wisPHjNHgA/x96NyuIU92bkqH1vXzbSSRrGBLYUtGCEGgvxdvj2nLtv2XuRwWQZJOz0yDuCVjq2C72cHTw41ihQIIu/0QKeHarUhOXbirilkyUsLHv2zk1r1HvDmydZaFqIRJn529AwNLKfnub+OEqz3bV8U3h8e/5SU0QdOwmo/eGs6J05c5ePScmnbuYhjnLqaeNv5RVAwLlm5lwdKteHl60LVDI4oXLUCgvy/9+7SjVAnHiCHoyOSEsCUm6syC7O4wGYdWp2pRM5d5e1K6eBBhtw21sbAIjpwy9qU1qlWS6NgETp6/A8Af8/dTungw/U1mwM4MZUsYa0BHz9zifkQ0BYJ9s2F91jl8+iaHDefq7u7KiwOb2sUOZ0VzCtGwmuBAP1bP+5Kfv3yZru0b4e1l/uXo6upCxzb1KV3SPIpFXHwCi1fuYMq0JXz2/Ww69Hmdx9FaR7e12NLZ5OHjuDS3vTjIcV6eZYobHVSu3ogws/vprjX538e9zfK/9/26LB+reOEAalYqAihBiVPWWnOTfUeNH4c92lXVYjlmEsf4HNNwGjw93Rn6TCeGPtOJ2Lh4tu06xvY9x3FxceGpHq2oVa0cUkpOnL7C8rW7WL52N6dSTP55514EV67dpkbVsnY6C+fEFjW2wmk0KVavWJi2jctluVxbYypoV25EmDcnSknRgv6MeLoBfy44oCb/MW8fI59plOljCSEY+Uwjxn2yDID1uy7w2nMtM9grZzCNX2l6DTSsQ6uhaWQZby9POrdryKfvPMfHbw2nVjXlhSiEoGa1srzz6iB2r5nCT1+MNdsvOMifCuWyP9NvfiU7NTYhBJXLpp6MtVblInZ3hjDFXNAicTMJohxjiBwycWQb6lQ1ekT+szTrM123aVRWHWx+4ep9uwVGTkwyxm7MSrDp/I52xTRylA1bD/HGh7+ZpX3z8Ri8PLWO7uySVWELCfJJlebj7VgeqaZj4q7ciDDr5zph6DtzcRH8/cXTavrNu4+yHPfRx9uDymULAoqzyfGzt7NUTnbx8TL+Dg/sMP7M2cNfaYKmkWOs23yAAaM+IT5B+aIO9Pfl39/f46knHSO6Rl4hs8JmadC1t5djCVqJIoFqJJPb96KoUNoY/sp0rjd/P0+a1S2lri/dcCrLx6xrUts7fCrnB3RbopJBVAHOXLpnFxucGU3QNHKE1Rv2MWjMZyQYBvOWLFaQzcu+o1vHxna2LO+SnqjpdHomT9vGgFf/Zc22c6m2ly+Z8/ESM4O7m6vZbNoPHsaoAnfxWjgPo4xOIr07GWd2XrfjfJaPWbdaMXV57Y5zSCmzXFZWqVLOKGhnNUHLNJqgadicfYfOMOTFL1QxK12yMCvnfaEOwtbIOSyJmk6n542vV/Hb3L3sP556iAVA1fKON4yiYzNjPMW1289RxcTGI6dvqcvtm5ZX+9iOn7ud5WbHtk3Kq8MWTl24y+HTuV9LK10sSLXhTvhjs0HfuYGjxCbNKpqgadgUKSVvffwHiYmKmJUtXZSV/35O6RKpJ6TUsD06nY7le6N59q0FDHxtLkPemEfrwb+zbOPpNPfx8nSjrIPEcTSlU0ujoG3dd1kddwZw7rKx9hLg50XjOiXV9Q27jAP8M4O/ryflTKJybNx1MUvlZAdXVxcqlTE67Zy9fD/XbXBmNEHTsCkHj5xTB157erizeObHlCzueF//eZWpfy/j1Xensv3AFfYdu87uw9e4fS8q3X2KFvTH1dXxXgUVSxfg6a41LW5LOTNAJ5Po+Ot3Zr7Z8diZW7Qe/DunLxrnivO1k6NMZTs1Ozp77Qw0QdOwMdduGF8IHVrXo2ypIna0Jv8xZ+HGDPME+Xsx46t+6vq1m5Hcvp++6NmLSS93oFbl1PdQygHH7ZpWUJd3H76W6aa6H2fuNBP+wqF+9DPEwcxtTPvRNMeQzJGhoAkhSgohNgshTgshTgohxhvSPxFCHBNCHBFCrBNCFDPZZ7IQ4oAQorVhvYwQQgohXjbJM0UIMTwHzknDjkTHGDvrgwLtHxcwv+HpYblW4eIiqFRGcfyIjIpj5HuL1GZGnV4yddbuXLMxM3h6uDHjq36M7t+YahUKIQTUqFSYxrVLmuUrWtCfwgWM99ugCfOsduo4deEOW/ddVte9vdyZ/W1/u4W/skcNLS/UzsC6GloSMEFKWRVoArwkhKgGTJZS1pJS1gFWAB8ACCGSp85tBbxkUs5dYLwQQhuAlIeJiDR+5fr5alNe5DYN61a2mO7m6sK5K+HqekKKmI5zVhxl8boTOW5fVvD38+SN51ux7H/DOL1mAot/GWIx5qRp8+T5K/eJeJTxOK4T527z/LuL1PWalYpwZOk4u84NV8lkiMLlsAd2s8MZyVDQpJS3pJSHDMtRwGmguJTS1JXIF0j+HHIF9IZ109AD94CNwDAb2K3hoGzabozWUKGsFg0kt+ncLnXoJxcXFxISdRZym/PeD+s5cc4+A4qtxc3VJc2IJuOHNjdbv3P/sdm6lJIknR69XnLuyn3+WXqIQRPmcjc8GlAGNX/3Tne79yd6mIh1bgwcyCu1M8hkLEchRBmgLrDXsP4ZMBR4CLQFkFKeFEL4ADuAN1IU8SWwWgjxVwbHGQWMAmX8koZzoNfr2bHX+JXfvVMTO1qTP2nXsg6FCwZz555S+/L18SQ6RgnjVLpkYX58uxPlSoYw+oPF7D58zWzf+IQkXpy0lMVThxBqIZqIoyOEoEmdUuw5opzXkNfn0aphWZ7pXptL18P58vetxMcn4e/rmar2FuDnya8f9TaLSGIv9HqjjCWPvdOwDqs/RYQQfsAi4JXk2pmU8l0pZUlgNqAG7JNSviylrC+l3GRahpTyMrAPGJjesaSUv0spG0gpG4SGBqaXVcOBSEhMUt31Afz9nO+l6Oy4uLjw2bvPqevJYgYwrH9n7sQWYMQ7i9Kc9+vm3Ue88tlyknT6HLc1Jxj1TCOSK3CRUXEs23SaQRPm8v4P64mOSSBJp08lZoUL+DHvx4Gp+uXshU5vvPauLjlbW8xLtTOwUtCEEO4oYjZbSvmfhSxzgL5WHvNzYKK1x9ZwHrw8PczmORsxfjI6XcZNXRq25akerWnTvE6q9I8nz2T0hO/ZfzyMazcj09x/9+FrfDPNOWP6tWpYlh/eeZLgwPT7bwP9vWjftAITR7ZmzbTnqFg6dcBmeyFNamhJOr1dIpY4K9Z4OQrgT+C0lPI7k/SKJtl6AGesOaCU8gxwCngic6ZqOAPvTxiiLq/bfIBf/lxqR2vyJ0IIfvpyLCHB/pnazzRy/bQF+zl14U46uR2X7m2rsGveC0z/6mmzdFcXwR+f9mHl78PZs+BFfvukNyOfaYS/n2caJdmHoABv/HwU37mo6Hh1olNbk9dqZ2BdLak5MARoZ3DRPyKE6AZ8KYQ4IYQ4BnQCxmfiuJ8BJTJvroaj069XG8aPNlbWv/55Lg8fRdvRovxJ6RKFeefVQWZpNaqWpVPbBowc0t2i2J29dI/m9Uqr66stxHx0VG7di2LG4oNsP6C437u7udKifhnGDFBih5YqFsT/Pu5N2yblqVyuIO5urvY0N11cXV2oU9UYJm6GHSccdTYydAqRUu7A3FsxmVXWHkRKeQWoYbJ+FK3JMc/y/oTBrN6wl3MXw4h6HMuMuWsZN6qPvc3KVyQkJKby1jtx+jITXnqahnUq83TP1gwY9SnhD4x9aXEJSbRpXJadh5QJWZ1lUK9eLxk+cQEXrynDEmZ/21/tD3t9RCtGP9MYP18Ph5rvLSN6tK/KjoNXAJj+30FOnLvN4J516d6mik3OIy/WzkCbsdppSDlPkSPfkO7ubrw8sjcvv/UzAL/8uZThA7oQ4K85ieQG18Lu0n3AO1wLS91k+OzYr9Xl+rUrMfipDjyMiub2jcu0a1KeGhWNMTe377/MpesPzOIbOiJXb0aoYgZKNH5TBw9Ha1K0ht4dq7Nm+zk27VbiSR44cYMDJ25w8doDxg9rnsHe+RetluQEWJp0797FbeqfI9KvVxsKFQgC4PbdB1RqNISXJv7E3XsR6e+okS3i4hPoM+wDi2KWkoNHz/Hvf5t4snNTpnzQkz6dalCpbEFVDJJ0er790zHvL1NMo3yA483tlhWEEEx+sxvd21Qxc93/+Z9dZoGZs4IjfwxnF03QHBxrBMsRxc3L04MP3zSOoY+NS2DW/PV06/828fGJdrQsb7N01U7OX7qRbp5iRYyRKO7ej+Tz7+cwc/EhdAZX/XfGtFW3r9t53mHjPCYzbcF+s/UmdUqlkdO5CPT34sf3nmT7v2MoVSxITTed4DSz5GUxA03QHJasCpQjidvgpzvw7ScvULSwscnq/KUbbNh60I5W5W02bDV3IKhYrjgVyhanbOmiDOjTjhsn5nN693QWz/wYXx9l5uqDR8/x8S8b+eK3LQBUr1iYhrUUny0ps/cCzUniE5KYv/qYWVDh6hULU7Rg5rw7HZ1CoX482baquu7oHxj2ROtDc0BsJUbJ5djzq+z5wd0YMagr3fu/zc59JwEIj8jaBIwa6fMoKoa1m8xrKztX/Yynp7EJ7vS5q4x5/QeOHE89Z9j0/w7SuHZJOjavSL1qxdl/TJkMdO/Ra3RrbTlGpL0Ij4hm4IR5Zn1nAMN717OTRTmLqUjfymA6oLTI67Uz0GpoDkdO1KzsXVsTQph5ZiX3rWnYBp1Ox/h3plC+wSAeRlkeIpGYmMSsBRvo9NSbFsUsmWnzFUFsVtfYbLdkwymiHsentYtdeP2rVanEDKBejbwZP7SIiaBlNL+dJfKDmIFWQ3MoclJ47l3cZrebOuLhY3XST1DGQ2nYBp1Ox9ufTGP6v2stbr91Nxx/X2/6PjuJw8cynsm5agUl0kvTuqUpXyqEi9ceEB2TwKa9F+nZvppNbc8Mc1ceZdWWM7i7u1IwxI/tB66kylO9YmFKFQ3KddtyA9Ma2rVbkZnaN7+IGWiC5jDkRi3KHqKm1+sZ99bPxMYlAFCpfAmKF3WcMEPOTExsHL2HfsCeA6fTzPPBF9NJTEyySsyG9e/EeyOUSS1dXAQdm1fk4rW9APwwfQftmpRPNVN0bnDz7iPe+35dhvlOnr/D1RuRdp36xdYkP6/xCZtwd3clMVHH9VsPuXn3EcUKBWSwd/4SM9AEzSHIzSbB3Ba1v+asYdmaXer6O68OcqoBro7M5u1H0hUzgKWrd5qtu7i4oDcEvw3w9+FRlHFm5yMnLiJEbXV9wBO1+WfpYaJjErh+6yHf/rWdD8e2z5XfT6fTs2zjKf5adDBTgZI/+HEdM77u51T3mDXPY4mq7ahfe436e7//yx7+mfo2gQGWJyG1Z4uMPdEEzc7Yu38rp5k5z/hlPax/Z3p3b2FHa/IWjetXpXjRAty4dd/qfZLFrFyZouxY+RNJSTrKNxhMYmISR09cJN67Kp6xykuzeOFA3hrVmvd/WA/ArKWHCY+I4cf3nsTFRtOaLFh9nNnLD5OQoMPd3ZXCBfxo17g8np5uvPH16gz3b1q3FDfvPuLqjUgAdh2+xm9z96khrxwFW4jL2Od7q4K2dedR2vWawOKZH5sFBLfl8ZwRTdDsiL3ELDe/3kynk+nZtVmuHDO/UCA0kG3Lf+CLH+awbM0u7t6PtHrfnl2bq277LRrXYPOOIwAsWbWTZ9oah1n06lCdvxcd5NJ1Zebk1dvO0nV7ZZt4Pep0ej7+ZSOxccZxiSfP32HT7osUL2y5Oc3dzYW3RrehbtViHDx5g14dquPj7U6PMTNVJ5Fv/tzG3qPXGPBEbTo0q2gz8c2InH6mnuzclHdeHcjn388B4MLlGzz78tesW/gVrq6OG5syN9G8HO2EvWtmuXX8erWMkzL8t3JHrhwzP1EgNJBvP3mBs3tnsGj6JAb2bcc7rw7k47eeTZXXzSQgb9sWddTlXt2MtebfZpjPhebt5c7sb59Rx6UBjPtkGdMW7OfI6bTHpyXp9Jy7cp/o2IQ085y6cNdMzExJa762bXNGM6x3fWpVKcqzfRsQHOiNp4cby/43lAYmHo7bD1zhxUlLefXzFTaffqVg+VYW/3KDieMG8OdPb6i/5YEjZ9m2+3iuHNsZ0ATNDthbzJLJDTuGD+isLi9esZ2EBC1KSE7g4uJCh9b1+fWbV5k4bgBP9TC+YF2EoFiRUJKSlLnpvL08aFLf6LHYr1drNfr+tbC7bDqWZFZ2wRA/PhnfySzty9+28NTLs5lpIRL8sTO3aD3wN7o9/zcNev+c5txrk6dtzdQ5DupRh4Ihfha3eXq48feXT9OjfVWz9JVbzqhDEbKKPYQrPZ56shWDnuqgru87lH4/an5CE7RcxlHELJmctqdBncqULqkEvI2OieP46csZ7KFhC4oUCsbDQ+lR0EvJC8/2ULc1b1zDbLC1j7cXLww3bv/8+9nEJ5iLWoXSodSrXoyUzF5+JFXaonUnuBP+GIDEJD0f/Ljeoo1+VnpMenu5M6hHHSaObJ1hvu/efoIN05+nRzujsClNkNetOlZKHEHALFG9snGan9t3tfioyWiClks4SjgqS+SkXUII6tasoK6bejxq5Byurq5ms1abhsSqUjF1rMMXR/SkQGggAGE37zNn/d1UeX75sCdDe9UzE4uL18LZffiqWb7ubaqYre84eIXwyBhS8t4L7ejUomKq9GQGPlGbNX8+x6ElL/PRuI74eHukmdeUMiWC+fKNrtStpgiwTi8Z/+ky7hpE1hocpTaWFgVNghNkpu80r6MJWi7gqEKWW3Tv2ERd/vWvZdzTHsBcYWDf9uryuYth6nJQYOpmOz9fb7MJQSf/Mo89R66Z5SkY4scHY9vz3TtP0KGZ8SPl9a9WmdXoGtUqybsvtDXbd8o/qT9kihUOYOqkXpxf/zpbZo3i6ze7UjDE6IZ++tI9KpQOzdJknB7urvz0fg9CgpQpi+5HxDD+0+UkGppd08LRhSwZ02g72vNkRBO0HMZZxCwn7XyqRytqVS8HQHxCIvOXbsmxY2kYSb7mANExseryvkNnLOYf3r8TdQy16YSEJF7+eBn3IyyH0vpgbHsC/RUvyTv3H/P8u4u4aeLIMfDJOmb5/1l6ONU0L8kIIShRJJA+nWrQr2stk/R0Ts4Kihb054d3nlC9HPcfD+PbP7eb5XG0/jFrKVzQOHj8jjYlk4omaDmIs4hZMjllr4uLC88P7qaur9mUvU56jfTR6XRs2HqQ8W9PUdNMB1Cv23yAEeMnE/7godl+rq6u/DP1bYoUUtz2Ix7F8skvmyweo1ihAF4cZKx57z58jafGzVIF0NPDjfrVzeMq/rviSLp2SylZuvGUut63c02L+VKKUKxnFQqUa2nR87Dn00N497XB6r7TFuxn93k3pxOwlPj6eqvLsbGOFWfTnmiCppErtGhsfDmdPZ+1DnqNjElMTKJb/7fpO3wS2/ek7c69cNk2Gncay5JV5pFESpUoxP++fVVdX7PtbCoHkWSe7dOAkf0aqut3w6NpO+QP+o2fTauBv3HwpPm8bPuOXVfnXLPEucv3CbutiKyfjwe9O1Y3255ShKSUfDR5JrVbj2TR8m08N24yVy1MbPraC0/RpZ3Rzhff+IELGcwZ5+jExhlFzMvLur7F/IAmaBq5wtbdR9Vlvd6244I0jKxYtyfdcFimzXj3wiMZ9tKXjHzlW2Ji49T0ti3qqJ6pOr3kahpu9y4ugomj2vDpq0aX/ti4RA6dvMnNu6nHkT16HM/6nectlnUlLIIXP1qirrdsUBYPd2PfmaXa1MZth/hu6gL0ej0jxn/DouXbGDjyUx5Hx5rlc3Fx4X/fvaaeU9TjWIa8+AXRMXGpynQW4uKM4/u8NUFT0QRNI8dZtGI7r747VV33MnEZ17AtS1alHrzeonENXFyUR11KpTmwkEkfzPylW+g/8lOzAciVyhsHUt+LL5zuMft3r81rz7XE3c38deLqImhRvwyVyxqDUb/7/Trmrz7G45gETl24w8I1x5k4eTVPjJ6uhq9ycREM6VVX3SetpsGf/licKu3EmSu88PoPaoivZIID/Zg59S08PZR779TZq7z23lSbD7rOLRJMIvA46SnkCJqg5RDO1n+Wk2wxhFVK5vrNeyxasd1yZo1ssWPvCbP1yEvLWDn3C7Yt/4GK5ZQ+rfiEJOrWrMCgp4xekFt3HmX9FuNM4qau/Ws27svwuC8ObMLu+S+y+JchzP62P2v/eo7jK19l+ldPM/vb/up8Xg+j4njn27XU6fEjPcbM5K1v1rBo7Qni4pUXtIe7K7982JNGtUoCaYvZsVOX2LpTqfW7uLjwxthn1G3L1uziq5/mptqnTo0KfPPxGHV97uLNLFyWucHdjkK50kXVAMznL90g7OY9O1vkGGiCppHjvDKmr5nHHcD7n//ltF/Hjkp0TBz3w80dPRIM/V81q5Xlf98Y+8bWbznIh28OY3C/jmra9H/XqMumQaT/W7GdixEZT/kTFOBNzcpFaFy7JOVLhapNhkEB3vz0/pMEGbwi08Lby415PwykY3NlbFp6ThurN+xVl3t0acp7EwYzZviTatqXP/6bqn8QYOgznRj8tDHKxqSvZxAXn3Z4LkclMMCXVs0Uj1C9Xs+MuZbnw8tvaIKmkeOUL1OMbct/YNOSb9W0G7fuc+V66g78vIher2fS1zN4aeJPHDpmuQ/JFhw7edFsvVrl0mYRQRrUrUzzRtVVmxYs3cpLz/VUt5vaVq9WRerWUlz44xMS6fz0xDT7v6yhXrXibP5nFK892wIfb8WmlG75sXFJXLiqzByQkQeit5cxykhggDKu7rN3R5gNJn/h9e85dupSqn2/eH+k2SDy36avyPT5OALD+hvDym3afsR+hjgQmqBp5ApCCOrXrkSH1vXUNNOv7LzK1bA7BJfvyfe/LmTW/PWMe+vnXDv2r9+8kiqtU1ujt9+7n/3JmfPGwdO37jxQB+kKIfh18isUKhCk9r+9OGkp0xbsz3LN2t/PE1dXF2JilXielorZeybaKnd601nPt+0+hl6vx83Nlb+nvEm5MkUBiImNZ+DIT4l6bB6lJMDfh7fGDVDXv/1lPg8iLAdDdmRMA39fv5E6skt+RBM0jVylm0nUkKl/LjWbXiavce7idZp0esksrXSpIjl2vEb1qtCicQ18vD2ZPmUidWpUSJXnXnik2fov05aYre8+YBwHVrVSadbM/4qqhv40KSVf/raF975flyVPVSkl/607kW4e0+Ed6dG4flUC/ZWoIpev3lJrKCFB/sz94338/ZRxWtdv3mPluj0AuAUbyx4+oDPlyyihsR5GRfPtLwsydS6OQKniBfHyVDwc79yLSDWuMD+iCZpGrjKgT1u1uef6zXssW7vbzhblDCdOX6brM28Tk2LQ60+fv5TGHtnH1dWVFf9+zvVj89KcSDUiMsps/fCJC2br3/+60Gy9fNliLJv9KU0aGOM3zlt1jG/+zLzTk04vuXjtQZrbS5UoRL9ebawqy9fHi8H9jH1hX/44h8TEJNyCa1K9YTdeHPO8uu301RhVzNyCa+IWXBN3dzc+fHOomuf3f1Zw5frtTJ6RfXF1daVKJaPzzsmzV9PJnT/QBC0HSM/D8cyluwyfuIC+Y2fx3vdruffA+oCpeQEfby+eHdBFXd+1N/0vdmfh0tVbrFq/l5jYOG7eDqfv8EmpHDQ+f28EoSGBOWqHEMJs3rOUpDx+yoHOh46dJ/KR+T1ZIDSQZbM+4xkTsfl93j52p4j1mBGuLoIBT9S2uK1T2wasmvuFOuloRrgF12TM2NfUiS33Hz7Ll/8zRvWvUcMYIPn0mXMW9+/RpRmN6in5EhKS+OSbf9I83oHDZ3nq2Ul0eupN3v30T3S69GNC5hY1qpRRl0+duWI3OxwFbcbqXOaH6TvZcfAKAEfP3GL3kWss+98wfK2MJJ4XCPD3UZev33T+tv+Hj6Jp2nkscfEJVCpfAn8/H27fNa+JlClVxKwT3170fbIlP/3+X5rbPT3c8fPxTp3u6c6v37zCyTNXOGF4cd6yMHg6PYQQfDy+I60blWPphlMk6XSULV+FZ3q1oUFd62bANm02LFe2NO+/+xqTPp4MwDffTSUuLp6+vbtz+IgxSoqLsPzd7h5Si88//5QOXZ4ClOgpL43oZdY3lcwbk35TnWb2HjxN+9b1aNeybqp8uU01k2lkTmiCpglabhMa5GO2fvVGJGu2naNv5xp2sij3mTF3nbpsqZ/H2bhw6Ybq+m0a1T4Zd3c3/v75Tfx8UwtFblOnRgUa1avMvkNnLW4XQqTp9OHq6krEQ2PtrXqF9AdcJ6PT6Zm55BBb9l3C29Odvp1rMOfvr1VnE2sxFbNkJrzyAtu272HTZmVc45SpfzJl6p9meZo2bZBmmU2bNKDHE51ZtkJxe5/+79pUghYbF5/KO9U02r09qV7F6BxzSmty1Jocc5sXBzXBy9P8O+LAidQvwbxKXHwCFy4rcfSEELw0opd9DbIBRYuEprv947eGW/zqtxdTvhqvRqBPSVx8AgeOWBa7W3fCuXFLcav38fakfOnU563T6YmONY7rKli+FYeuevPZr5vZefAqG3Zd4IUPl9C82zgOHLZ8nJQk93tZwsXFhT9//56mTSyLlouLC107t7e4LZmxL45Ql9dtTu3FmXJ2gnJlilLdpKnPnphO9Hn63NVUEVLyG5qg5TLFCwcyZkBjszRLkx/mVTzc3VQPNCllqv4aZ6RYkVCqVko9aSZAtw6NzWaLdgQqVyhJgzppN/FZqmUCHDpqrKXUqVGBopXamEW21/nXoOvoOTTs+wv/bX+out+fPHslVVmnzl6la/+3OHz8QqptpqQlZKYUKliA9asXMHfWb7Rq2ZQa1avQuVNbnh02gIXz/qRa1Urp7t+4UT1CgoMAZejC2QvmwbM//3622XqPLs3UKB32pmCBILW2GBMbz+VrzuXYYms0QbMx1oS8at/UvJnt5Pk7+SZgr4uLC/VrG1+m+9OYm8seXLl+m2mzVlmM2J4RFcuVSJVW4v/tnXV4FMcbx78Td0/QQAiQ4BLcCVZcWqDQIm2xFmuBUhxanFJoseIUKdoCxd3hh7s7JIQkxCBKdH5/7N3ebU5id7nL5f08Dw+7s7Mjl7377sy8877FPbBs/vdG8+OnTLEimkeVFf1Kq02/flthXBFQXXXEOWnWWrx4FYqUlDRMmLlGtBrMbFkpN/ywtLDA9t2nJJ7jldEkZnbOpVX+2bv44PMvB+PM2f/h7r2HOHzkJNat34Ju3b+S5FNbj4UFateuIZ7LBS0+IQlLVu9WcfbcpV0jteUYikr+PuLx/UK+jkaCZgAq+HrC3lbhwSE8Ml4l1IYpUzdAIWj/u3rfgC1RcPjEFVRvOghjpizHZ/2n5WjzcHxCkko/zM3NsHbRWLi5OOq6qTrhnZagkHKv9JlR9roRUF066kn6mIy9hxVRqdPTM7DnoHAeHaMQtKXzRuLCIWFzeULiRyz/ay9+W7pDpS5tYpYXNN1frqxiLerJ8zfYsvMESlTpicmz10nyOTvao2ZV41r3lVg6FvJ1NBI0HZJdh8SMMZT3kfrG26cU2NCQ5IdT5UZKm2d3/HdaxSJQX3xMTlErVDEf4vH5wBnieXJyao5GVYtW7lQx0Z80ug/q166U+8bqEc45nr96q/G6pp4rB5LMbBRx6+4z0W+kHPmITnmE5urigDKlimLM0B5i2m/LdkjW0/QlZtrK8Suv8DU6c8Hf+O7HP9Teu3bxj0Y34q5UQdnSUX1U8MICCZqB8PV2k5zfe1o4/BoCQNMGVcXN1XHxSZgy+y+91zl/yXZ4V/sc1ZoOVNlAuzRTGJLObRtmu9yQ0EgsyXR/US83jBjYNddtzSnnL93FuF9WYfXGAyqxwNRx7dZjvJO5uJJjqWXvmhzlH/LMxgeh4aovJXJ3Uh9iE8Q0F5nfxR++7S566gCA3bKwN/oWM03llS9XVmv+0t5FsHXVZLRurtli0lBUluxFoxEaoQNyOrIpU1IqaPefhuP1W83TQKaEmZmZZEPvf4dUY3jpkrS0dPy6dBtSUtIQ9OYdZi9ULPKfOHsDvy2TTnmN+q57tsue8dsmJH2Uemsf8GU7WFnlT8y3jIwM9BwwHSvW78OP01ag/7C5Wd6zZtNB8djB3hbWVpZIl63hMsbg4KB+ewFTsozMPNCNUuMLUb5Wlpqm2IQs/1ycHO0we7LCuvDUuVv5Jmbqyi1frozGfNvXTMGt06vQvnU9jXkMiX85b3ELxIvXoQU6cGleIUEzEGVLSQUtPYNjxPS9iItXv0Cen+THtKOyGXtqqn69LoSERUqmw3YfPI/kZMFB7q9LpHGzini6iqPHrHgZFIatu06qpPfr1UZNbv2Qnp6B5JRU8fz4mRtaw6FERn3ArgOKWHS7N07Hxj/HiSOucmWKw85WvbcO5Q3KmUdoF6+qTpmXlwUJTc9Q/H3Nlfae1VOakn31Rv0Ge32JWebyixcvCnt7O7V5lKejjRFbG2uUKyOMdjnnePQkZx5cTAkSNB2QGwGoW81bJcLvg2fvMHjKLkR/SMSTlxEYM/cApvxxFMkppufA90ulmFScc70G/HydKUxNSkoaYj4I6zoRkdK1r5xsmE1U8yZsb2eTr5tuGWNIS5O+EJhr2bC86Z9jorjXqu6HugEVsGT1f+L1T5S88WdGee+aslXujTtPsXOf6ndAHoAzLU0hfmbmirbZ2ypCwHz8mIy0NOlzrm8xU66HMQa/8pqnHZW3LBgjytOO6rZJFBZI0AyEi5Mt+nerpZJ+9e4b1P1sGdoPWo89xx9g6/7b2Lr/tgFaqF+6tW8kCSUzbOwfWe5Jyi1Bat7+ra2tcO7SXRXjiJwYclSu4IPWzaV/w4TEjzhy8lruGpoLHjyRrplU9veBpaV6B0DRMbH4c+0e8XxQ3w44f+muGOXawsIcg7/qqLEuM8mUo0Kkdh9QP2X84nUoACBFaQRpYa5Yq7OyskSRIp4AgPT0dAQFKyx980vMlOvr+2WPrDMaKZXJdB8ACVqeycv03KivG6NmpeJZ5pv550ks2fQ/hEbEZZlXVyj3KzwiBj9OXYFvRs7HsrX/6cQxq5mZGdYuHovyviUAAEkfU/DlkFmIfq/7Pma2QLS1sUJycgp6D1KdSho5+NMclT2obweVtNFT/tTZOsazFyFavcDfuS8NYPkmNELtvq47D16gQ++JojFIsSJu6NaxMeYpTbn2/rQFSpfU7M5K2VWV8gjt+Uv1W06srS2RkpIqChsgeNSX89HSF2lK4YM+yEbN+S1mcr4fPQktWzRRSff1KYbqVbQbjRga6Qit8BqGkKAZEGsrC6ye+amKCb86Fm24gCa9V+Cz4X9jzT9XERuffwu/0+dvxOpNB7Bz31lMnLlW4xt5TnFxcsC21VPEuFYhoZEqFoe6ILORg4ebMzbtOIa4eKlF4JaVkyQ/uNmhacNqYkwqOW/DonD0VN5HaYeOX0Gtlt8iIHCIxtGrY6a+fYhNwL7DipA89x6+xGdfTUOTDt9L9igtnjMCN+88xdn/3QEg7JsbM6yn1vYoW6vLBS0jIwM376qfjivvWwKPngWLMe9KexeBs5Pwt7ZwrYoly9YgKlowhCpRohgqVSxvMDEDBMHet/8Ien+ueKkp4umKg9vmaBz1GgvKpvv3H73MdRDWgg4JWh7QhfGEi5MtNszrgXrVvbOV//ajUMxdeRqBfVdj1fbLevcwkpGRIfmBBNQbAOSWcr4lsHDmd+L51l0ndf5ldHF2kJyHRcQgNDxKJV+rZqpTwFlha2Ot1q/fy6BQ1cxKJCenIjjkndYAp71kI8j09Axs+feE2jyftKgjMX8HIE6jnjx3Ey26jsHxMzck17/+oi28S3hiyhzFdole3QJRJovgo5mNQixcq+LWi3S8DVO/j7BL189w9oZi/bJateqiX8aXr4Iwf+Ey8dqkcT/A1Uu7i6r8wNbWFp26KKxcG9SppNWrirFQqoSX+HITHROHcC0b5/OKMYslCZoR4OXugE3zP8dfc7vj29710P2TKmjRoCxKFHHSeM+HuI/4dfVZrNh2WW/tinh+Fis37MeHuARJuiaz7tzStX1jcZT2NiwKQToOJy/f+yQnNTUNUdGqZubzl27PVfkV/VVHFerW7QBhjW3stJXwqvApqjQegG9GzlebT9nNFACNm89trK1U3FDJPX2Mn75atIA0MzND1/aNsGTuCLwNjUT9T4bjqtJm5jFDtY/OACAsQtEGa1fBW8a5C6rPX7u2LRFQsxo6tm+N3xYoRKvtJy3E4+mzFiBZZo1Zo3oVDPpudJb15xeurq7i8fOXb3Hg6CWcOHvDuH/IzcwkLsuU19EyMjIQ9OYdTl+4je27T+XZf6qxbSxXxrjH0UaMrk3bzcwYmtQugya1pfthImMScOrSC+w6eg9X76o6jd267xa+611PLw/Zx+RU/LFip0p6907NAAjuk0LfRcPHu6g4lZRToqI/YNnaPRLRfBcRo3UtJ6e4qGnbtVuP0bNLc+zYc1pM+2PlTgzs2x5FvdxU8mujkhrHxOo8yXPO0aXPZImQXLqmfrT7+wpp5OiqFdXvk1q8ahf+2XNGkta2RR28DYsSfRKamZnh/IFFePD4FQb+sECljIp+pVC2jPa13Bt3nuLmHWHa08LCAvXqCgY9d+6qtr9qlYpYv2YRevQaiJj3wvplKe8S6Nm9CwBg6/bd2PGPwjhl6bIVsLAwnp+ievXqiWF07j58iS+GzAIATB7TB2OHf27g1qmSmpqGNX8flEQFUI6UPmPB39i++xQq+ZXCsTM34ObqiD9mDTM6n5S6gEZouSA/9mnJ8XC1R492VbF5QS98/ZnqlFhoRBwiohPU3Jl3zl59qTIy+HFYT9jb26DHN7+gfN1+aNrxB1Rs8BWePA/WUIp2fvplFRb8+Y8kzdVZt/4PM085AsCbt5GoWa2cJLpzamoaNmuY2tOGfzlVQbv/+LWK147L1x9KxAwAOrVtIB4/eR6MT3r8BOcynVSmeVs2DUBmkj4mS6YNAWDEoG5wc3XC0jWKtchG9arg3MU7asUMEH78tI0+EpM+YsjoheJ5m1bN4eoi7NWLj1d99iwtLDB0xDicPX8JgPBGv2r5Aty+cx+fff4NBg4ZJebt2rUrGjUyrh9WV1dXNG/eXCV9/dbD+d+YbDB07CKMn75akubuKszucM6xZtMBhIRG4tR5wVo6OiYO/YbOxZDRC3M1WjPmEDUkaAUEMzOGb3vXVxvH6tGLCJ3Xl5HB8cf6C5K07p2bokOb+mjYdrjE6CEh8SMePM7dZs6oaKkFYq9ugSgns3zUFeoEDRDW6/zLStcur2uIBaYNVzXlZ2RkqHjPmDp3veR8YJ/2mD15IABg2dr/UKfVUBXP7gDQrFF1td7tX75WtX4cPbQH7jx4gRXr94lpjva2GJfpB0+Z18HhuHn3GRav2qXW5PvneRvEkDL29naYN2eKeM3TQ3V9KSExETt3HxDPp035EfHxCWjdrgcOH1FsRPfz88OSJUs0tsuQjB6tOgVqbWWcUeX3Hfmf5LxxvSqoI4sAnpGRIVrcpqWno4iXYjp12+5TaNh2BM5fuovsEhX9QeUlypggQcsh+Tk6y4yVpTnMzVX/ZPf14AfyeXAUnryKlKT17dkGvQbOUHH11LxRDXTIhVugjIwM3LonNTsPbFwjx+Vkhabp0Dv3X6hsQn3/QXfx2VKSFfuvOOe4fF0hVs5O9lgw4zvYWFth8apdmDhzrboiYG1liT9/VR+CJljNWuObtxH4YeIy0bUYYwwHj2tfZ7WwsEBgl9GYMucvdOk3HY6lO8DJpyOcfDri8lNrrNywX8z7xx+LUKVGUzEcy9hxU2BpqXDzVa1aNbh5SEPpbNj0L7r3GiAZBfbr1w/Xrl1DyZKqYXeMgQ4dOqBVq1aStDlTBhqoNdpRjm3Xs0tz7N86W7TKNDMzk7js2rZ6Cnp1CxTPQ0Ij0bXfVPyjNPWuiZgP8QjsOgZL1/yns7brGhK0AsS8VafVuonadfSezhes1dWzc99ZFeupIf074t+/puXKrPlVcLhKrKzixbLewpBTLC0tUL92xWzlzc5+o7MX7yAgcAicy3RCjeaDNbpG+qgkaAuXS9fE+vZoDQBYsnq3xjfeLu0a4c65NShZ3FPt9R1qfoSadPheYlCSnedC2UNHREQEGGNYs2YNGGNo00bhxqtTp04YMGCA5N6qVavi5MmTGD9+PDZs2IALFy7giy++gK2twnDo5UuFB3grKyucPHkSGzZsgKOjcYbWAYQXgR07pD4+b997bqDWaKdbR8XeueCQd5KXn8GjFiIqOhbeJYRnqFgRN6xcOBob/xwPN1fh809NTcPAHxaoONnOzG9Lt6t43TE2SNBygCFHZ2t2XMG2A3fE806Bih/ol29iEJ+g2X9fbnBzUfVrt3H7UZW0OVMG5nqPjrrpU02xuPLKlpWT8PusoaikxiJRDmMMPbsGarwuZ9HKnaJp/MvXoYiIeq82X7IsXM30+Rsxff5GybX4RCF4ZOZ4W14eLnh5YzNinu/Bxj/HazRQ2bX/HP7dq/vnsXTp0pg1axYGDRokSff09MTq1avVjhQbN26MOXPmoF+/fnBwcEDZsmVx8OBBVKtWTZKvbt26uH79OgIDs/6MjQFXV1ds3qxwZH02B1Nz+UnnTxqIm94vXnuAkFDFzMqZ/93G/67cR3BIBPr2bC1uQejSrhHO7V+ECuUVU+6TZ6/DxJlr1K6RhYRGYtXG/SrpxgYJmpGTnJKGX5Ycx9xVCku2xrV8cOuhwmVTs7pl4Ohgre72XFPE3QHFvTRvG5BTr80w3HuYuxhMpUsWQRFPV0naoyf68XLg7uaMTm0aqPhuVKbf522yFbyxeFH1o8gxo75D04aKH/GQsEjsOnBexegFEMyqM4tZhfLeOHdgEdxcnSReOTJz9eYjDB37h3huZ2uNlQtGwdZGWOOxMDfXKtzaqFGjBiZPnixJs7KywoYNG1CkSPZfNpo3b47bt28jIiICd+/exePHj3Hp0iVUqVIlV+0yFM2aNROPr954pNXxs6Hw9HBB4/qKz1W+WR4Q1s3kTBr9peS+ksU9cfifX9GwTmUxbdnaPRgzdYVKHSfP3RR9gBqz15QsBY0x5s0YO8UYe8gYu88Y+16WPp8x9ogxdocxtpsx5qJ0z3zG2DXGWDPZuQ9jjDPGRijlWcoY+0r3XdIP+TU645xj896bGDVrP76fuQ8t+6/Bpj03xetV/IogJjYJwWHCD7OdjSV+HtFKU3G5JvFjKuITpS6U1K1FPX0Rgl4DZ2jdIKwJxhim/NhXkjZ41EK9BPzMyMhA8y6jNI6mAODnn/plq6x50wZhzNAesM4UImbQN31QR2k9Y8eeMzh8/IrK/a4ujnj6QuouqlWzAJzaszBbWwamzV0vWcdMTErGj9NWiGlp6eka98Fpo0WLFtizZ48krUaNGjh9+jTatWuX4/IAwMPDA1WqVIGfn59R71/SRIkSJVC+vGCQ8zE5BddvPcniDsPQqK5C0G7dE7ZXhL2LFqNKAOpj1rk6O2D3pukSa9t1mw9h4/ajCA2PwozfNiEy+gNu3lF4g9FkZGUMZGeElgZgDOe8IoD6AIYxxioBOAagCue8GoAnACYAAGOsguy+pgCGKZXzDsD3jDHjNBUyErYfvINpi49j36mHOHD6EcKU/De2a+oP76IuohEIY8DCiR3hXcxF5+2YtugYYjOFsnF3c8LxXaobgYPfRuCM0lthTlBeoAaA97EJmLd4m4bcuSfsXQzevI3UeL15oxpwc816RAoAdrY2mD57Pl4+vS6JdHz2/CX0+lTRn+OnryM90/RNlQo+mPJjX4nxCWMMW1ZO1hi2RZmQ0EhcVtpvJCezGy9tgT7d3NSL5oULCqvWFi1a4OPHj7h58yYaNGigNn9hQXmK9Pxl45x2rKE0arp68zE695kM/3r9Jc+BppclG2srbFg6Dp91aiqmzVzwN7r0mYzflu3A5FnrsHbzIfGaPIqCMZKloHHOQznnN2THcQAeAijBOT/KOZe/ll8CIDdXMgeQAYBDGs09AsAJAP111PZ8Iz/Xzt6Gq3qwcHexwy8jW6FJHR8cOqswKx83uDlaNcx6iiynvHoTg/+Oq26YLeLhisgo1fYBQFx8otr0lJRUzF+6HcPHLcaO/06rXLe0tEDZMsUkabv2n9P5XpeiXq4oV0bzdgDltYSskAeidHZ2widtFN4vXr8ORqXa7eEjcyH1MTlFJazKvUevMHryn5K01s1rwdo6ewFB5y3ephIuJqf07t1brUglJwsvMI6OjtiwYQOsrXU7jV1QkUw7qtkwbwzUUJoqv3n3qYro9OoWiOJFNbvwMjc3x9J5I0RDkfCIGDx+JmzV+GfvGY33GRs5WkNjjPkAqAkgsx3wNwAOAQDn/D4AOwDnASzPlG8ugDGMMa3x3hljg2VTlteiojSveZgiZUtLH7qVM7rh5KZB6Nm+GhYp7Qvr0a4qBnTXTzj4mw/fqk3v3qUZJsxco5JuZWWBRnUrq7lD8FIwc8Hf2LTjGAaNWoCzF1VHcmV9pELz/kO8xNNBdkhPT8e0eevRpc8U7FITW83MzExrJGqfLPwYAhD9ECpz+859RRk+wgbrjm3qZ7fZOcr/NiwKf/9zLMt84wc303jN09MTy5Ytw6+//oqLFy9KTO4BwYR/+fLlRmtObwiKFlU8G8qWq8ZEUS83FCsijMCU/btWrVgGE374AovnjNB0q4idrQ0CG9dUSXewF2YO5BHIjZlsCxpjzAHATgA/cM5jldInQZiWFM2BOOcjOOe1OOeScL6c85cArgD4QltdnPNVnPPanPPa7tmMHqwv8nN0lpHBseOg4ge/cS0fNK/ri8cvInDk7BOERwnTVJ5u9pg6rGWe1yTS0zOw/eAd7DnxQNy3BABQY+pdq7ofnB3t8PK1qtPduVMHwyuTcYdQDFfxrpDZTRMAtW6urHJoObll50n8sWInTl+4hW/H/I7oGNWRZM8uzeCtwQQ+K1dbmYVMTmiowozZzU34DEZ/1x2+PsXU5s9MvVoV8cVnLTVej3h+Vvx3YM8O6d9JDTbWFhjQow78yygMVypUqIDSpUvD0tISERHCJvwmTZrgk08+we+//w43Nze4u7vju+++w8OHD/Hll19qKr7QExX9wWh9On7ZvZVkA/78n4fg/MHFGP9972zPANRQY/CxYsFo1A2ogE9l2wOU970ZG9n61WCMWUIQs82c811K6f0BdATQkmf/rzwbwL8ADGcDb6QcPf8El28LLqQYA/p2qYk+Y7fj6h2pD8fK5YrA1iZ7D6g2/j1yD5MWHgEALN54Af8t6wdHB2vYqCn7+u0nKq6TLCzM8deSn9C5bUO15WdkZKgYi2zcfhQ9uzZHk/pVEfTmHYJD3uHSden0ZoXy3rCyyln/jp+5Lh4np6Ri575zGNRPGqvMysoSA/t2wLR561Xu1/b4ahIzAKgVUB1PnwmbwydPnY2WgY3h7uaMfZtnYfyM1Th84ipcnR2wYsEohL2LxtCxi8R7B/Rph+njv0bSxxRcvPYAZZwjYKPlh+fZa9UIAZlpXs8X+089wuOXivVCGxsbPHqkuu4WGxuLatWqISoq63ILM15eipBCDx6/xp/r9mDYgK6Ga5AW5JG127eqh8H9NQdr1USTBoKVbhFPV4RHxKBEMQ+0ahqAVk0DEPMhDl3bN0bzRtXhXr6rLputM7Jj5cgArAXwkHO+UCm9LYBxADpzztUvoKiBc/4IwAMIQmjU5OfojHOO5VsVM7lff1YbJy4+VxEzAHj6WrNxQ064+1gx2nod8h6rdwgWeRnp2Xs3aduyrkYxA4R5+QZ1VKciO/aeCE//bqjaZADa95qAuw+kZv/NG9XIVv3KeLhJR/LzFm9Tu66naVQbGyfkvXD5Huq2HopBPyxAmm15rWIGAJMm/AA7O2ET8cNHT/HPTsHlVMninvh7+USE3N2B+xfWoWXTAPzvimJ68tuvOmHhjKEIC4+Gd7XP0emLSZi6SPt0onKAV01W/bbWlhg1W7FfyN3dHbdu3dJY5pEjR7TWWdh5/vw52rZtK0lb8dc+DbkNi/J3Lfht7tzh1axaDjMnfoNju+Zj5sRvsGn5BFhaWsDS0gJeHq5o1SxA4v/U2MjOlGMjAH0BtGCM3ZL9aw9gKQBHAMdkaaqbFzQzCwojEgLA+euvROtFaysLdGjmj38Oq7ccDAmPVWs8khPCI+Ox76TUb2BMrGARdeFG9vaCZcd890cNQSPle1rUUSeggsZrmviiu3TaLiLqPbbtPqWS78pN1ZEKAMTGJSA5ORVDRi/E42fB2LHnNCZNmZNlvb5lSmPUyCHi+bgJ0xGdpphutLa2FEebypaNDWVrjnXbDBXTrt1TH/lZjvIITZPNzO5jCtF0d3eHi4uL1jLr1Kmj9XphJiwsDC1btkRIiPTvEhTyzij3o9UNqCDuX7z38KX4kpZTRgzqhtIli2DEoG6oVd3wMepyQnasHM9zzhnnvBrnvIbs30HOeTnOubdS2rdaynjFOa+idH6bc27GOV+vo37onPz2CrJCaXTWs11VHL/4XN1Slsjjl3lzSLxl3y0kJEkXuIt4OCAuIRn7T6k6yJUjt4ICAHvbrK3gGtWrgslj+uSobQ65WHyuUF7V4/1VJfP2jIwMzF20FfuPKLzYN6hdSTyOjUvEpn+OSd5sV6zegPB3WX/Ofb/sIR5Hx7zHxr93qM0Xn6CIMu5gb4ugN+8ka2JBb99rrCM2/iMePFPvdsjGWnXloFmzZrh37x6eP9fsruno0aPo0qWLxuuFnXHjxuH1a/Uvd/MWb8Pyv/aqXas1FE6OdignCwPEOUfQG+N2U6UPyFOIEXDjQYi4dmZhboaBPevgym3t4VhS82i6femW1Du+paU5erSthv2nHiLxo2ZLLuUpO08Pl2zVNXb45zix6zf07dk6W26yrqjZZ6WNpI/J6P7Vzyrp8uCWADBq8p+Y88cW8TygWnkUUzJjNrcww4Llqr7sMrIwwti6fTfqNpJOSSV/VG+hqex9PyUlDUN/WiS5ri1q+enLLzS+4Hz2SRVYWiqmgRo2bIi9e/dqbff69evRunVrrXkKM6mpqSq+HJVZ+Oc/GD99tWRN1BgoorTX7F3ke8M1xECQoKnBkKOzTi0qokQRZwSHvdd6z+a9t/JkbeVgL93f7u5iBztbS4m/SEAwyVcmNlYR/6pD6+ybp9eu6Y+l80bi7L4/4F9O+56vrLzDZ2bcL6vxv6v3VdJLewvm1sfP3MD6rYq1okZ1K+PrL9pi94HzYtqH2AS8fSsNx1KubBkULaowCEhJScHdew8RFS04aJ4xayEGDhmF2FjF2paVlRW+7K26PSA2LlESmqXXoBk4l2kLw8Ae6qf/wiLjsHjj/9ReA4AhverhwYNHmDt3Lvbv349z587ByclJ7Q+ynZ0dXr9+jf79C9x20HwlNDQUHz8KI2oHB81T629yuValLxKUNlLLXaEVJownTGwhZc+JBzh5UTEtNLhXXQCAnY0VAM2BOy/ceI3D556gXdPcmdDWr14KZ64ojDHCIuLwzYR/VULRtG9VD/8dFPa/2dnZIFEWW6mSf+lc+Qus5F8ah/+Zh7qthmp0Q/XwSRBeBYfBxzvrvWGPngZhwzb1hg1fDhgHJ586+G+q4oe9c+fOmDt3LmrVqiW+EAQGBqJH39Eq0blfvQ7GL7P/RNOmTREUFIQZM2YgLEwQve7du+PffxUe9N3c3NChQwcMGTIElaqrBqz8EByc5WbxARP/VTFaOX/+PLp/3x3h4YKIWlhYSLzjBwQEoElvYfl63LhxknuTklS9hfz3338oVUp1epaQUqRIETFqdXy85pBCo4f20HjNECg7JtYUpcGUoRFaPlK25a8o2/JXAMICf8/vN2PMHEUgxA7NK6B8aWH/UK8O1VC9QjHY22p+y5q1/BQSknK3ON29bVVYZxp93Xwg3VDtYG8rcVzq4aZwDdVCzQbM7OLm4ojxP/TWmkfuA5Fzjis3HuHCZWmInMSkjxg5YSnqtRmm9v7atWuLBg+JiYrF8S5dumDu3Lnij72vry+2bNmChg0bont36cgqLS0N8+fPR6dOnTBs2DBRzABIxKx169Z4+fIlNm7cqDH6sre3N+bNmwcnJ83utQ4fPox0mTNZzjn+/PNPBAYGIjxceMkwNzdX8an4yy+/aCxvwIAB6Nu3L6ysrNC+fXs8ePCAphmzibW1dZbC37ltQ3FvljGQkpIqTjOamZmJnvULEyRo+YRcyBITE7Hzugc6f7sBN+4rBKREESeJk+EBPeqgTePyomA52KkKW1hEHJb9LRg5XL37BvtPPURcQvY8bJiZMSRrsTQEBH+AW3Yp9sYrC1p4ZIy6W7JN3SwsGTdsP4rgkHcY8P1vaP3ZWLTvNQErlaIw7z5wXmVkFhAQIB4rGztUqqQw/nj69KnEjH3ZsmWiJ4gVK1bkePRSpUoVbNu2TatQyfnpp58QEhKCJUuW4LvvvlO53r59e/j4+OCrr75C8+bNMWzYMHE05uHhgWPHjmHlypVo27YtatSogV27dqFjR827Xzw8PLBx40YkJyfjwIEDqFgxezHhCIFixTRvjnd2tMePw3si+n0cXgWH5co5t655Gx4lvvQV9XI1avN6fUFTjpnQx/qZXMzi4uJQv359PHig2EhsaWGGLq0qY8w3jeHqrAiKmJHB8beSl/3hfRrg/PXXOH/9laTs9buuo2wpd4ybLzgPdXW2xebfPodfGe3TDVnteZJz6+4z8bi0d1HcuCOc5zZkjBz/st4wNzfT6PniwePXqNJYGkxyy66T+PbrzgCAuEwmyXXq1IG/vz9u3LgBABLXTSVKKFxrhYeHi2sjACSBKN3d3bFr1y4EBgYiLk4aeLRhw4Zo27Yt4uLisHfvXpQuXRq9e/fGF198ASur7K9VODg4YPjw4QCABg0aYMyYMaL3DgB48+YNNmzYILknICAAu3fvFsX20KFDIPQL5xyPH2v225ialoamHX8Qz319iuHc/kVwsLfVeI++eROieI5K6CFQbkGARmh6Ri5mALBhwwaJmNWoUQP//dkPc39sC0836cLz/26+FjfSujrbom/XAFQur+qeKSU1HRv/uyGex3xIwtcT/kV8ouapyKSPqTh24anG65pQfuPT9oWJ+RCPNX8fxD97TotTaJmxtrZEOV/NzoLV8eRZsLhZ2tlJ+nmtXr0aMTGKUaOrq8IVV3CwwmLUzc0NjRs3Fs9PnhRGoDExMThz5gxevXqFVatWwdlZulH7xx9/xJQpU/Drr7/i0aNHOHLkCL766qsciVlm+vbti1evXuHYsWMYPXo0PDxUP9Nvv/0W58+fp3WvfCYoKEjyPGUms6/RF69Ccef+C303SyvK62eFVdBohKZHlMXs8OHDkkX7Fi1a4NChQ7CyssLzEz+p3Pvv4XvicZeWlWBtZaFW0ACgUUBpiTFHeGQ8Nu+9iSG96qnNv37XdaSk5szs38rSAs6OiijWFcpp/oEdMX4x9h0WpkLfRb7X6CaoWiVfPH6qfXuCMkkfU7D7wHn0+7wN6tdRTCPa29ujYsWKkjU2+QbT8PBwrFmjcKhcs2ZNMMawbp0QXPPcuXNYvHgxRo8eLYqvmZkZLCykXw19eZ63s7NDq1at0KpVK8yZMwfnzp3Dw4cPYWtriyZNmsDPr2BtbDUVbt68mXWmTFTMZVBVXfGmkBuEADRC0xtyMfvw4QO+++47tGvXTjROcHNzw9q1a8W3e2XhA4D3sUk4qjSC6tFWcL9U1FMxKrEwV/zpShV3Uan/7FXNU4LbD6r3QKIthEq/z9sg+r3C2stfQ96UlFRRzABg1cYDavMBUOsWKzNmjGHSKIWz3M3/HgcAlClVVBzRJCQk4Pnz55JR2aVLl/DixQu0atVKNKooXrw4PvvsM8lI6PLly5g6dapkJJmRkYGUFMUIt2bNmiruj/SBlZUVWrZsieHDh2PAgAEkZgYkN4L2LiJv68p5RXkLAQkaoTPKtvwVMTExmD59OsqUKYMVKxRewUqWLInz58/Dx8dH5R45+049RKpsBFXVryj8fYWHMz5B8SOrvJHW1ckW5X2kUwyXbwdj2d8XVQw/3scm4Y0s2rWNtQWslMrZsmoytq6ajOnjv8auDb9IPHxkcC4ZTVX0Uz9C23PoguQ86M07jQvmnT9pAHNz7Y9gBueoE1BBnO68dO0hnr0IgZlHc3z4oAgtVLRoUTRv3lw8nz17NsqWLYt794SRrpmZGVavXg0bGxvUqFFDfJlITEyUlJOZevXqYdeuXeKIjygcREbmzF9qkwbVYGVliUgDhrt6S1OOJGi6xqHKGIwfPx6lS5fGtGnTJPPwnTt3xuXLlzVam8lFTXm6sXtbRWj197GKfUVJMm8ejAG1q5RAm0aKsBFyfl9/Hj8vOY7g0Pc4eOYxngdFSaJQuzrZooiHYtT38WMK2reuh0Z1K+P35f9i5oK/xWvlfUvg6UuFo2S/supHaGv/lhosZGRkICRM/Y+Dp4cL2jTXHtPNy8MFdQMq4JNARb5/j7/GihUrkJoqfAbly5eHq6sr+vTpg5o1VbcTWFlZYf369Wjfvr1QppcXZs+erba+Nm3a4OnTp/jrr7+wbds2XLhwQeXlgzB9crq9oVQJT9RoNghla/fBo6dBWd+gB5S9B1nnMFqFqUCCpkReLBzT0zPw7zV3lClTBvPmzZNYyfn6+mL79u3477//ULx4ca3l8NKDER6puLdTC0H89p54gClqLBPbN6sAd1d7tG6sKmgA8M+huwjsuxojZ+xFt6GbkKZkVRgWGQcnB4XfxGOnhRAsMxb8jXOXpKHm/ct5iw6Fixd1h7OTveT6uUt3Ua52X1y8phrpOujNO439nf/LEJT2Vr82aGdrjRULRsHezgbm5oqR5I0bN7BkyRLxXO71wsbGBkeOHEGFCootAcWLF8fZs2fRt29fSdmjRo1CixYtkBlfX1+UK1cOX331FT7//HNJvUThoUuXLvj666+znX/zvyfE4x5fa94bqE+Uv5OxcZqdMpgyJGg6IDj0PQbMuIzx48dLvDNUqlQJmzZtwuPHj9GzZ89sBeQ8cuQIImOEtba61bzh5GCDt+9i8dOvh5CQyXLRzsYSk4cGAgAql/OCs6N2p76JH1ORmpqOOlUFk3bOgdchihHk1l0nwDmHmZm0nV9/0RbuSnvQbNS41Jk2d71Gzx/aBM27hBcObZ+rNhrur9OGoGXTAKSkpOLEWYUlZ0BAgMTUff78+XjzRhg9enp64ty5c5gzZw4WLVqE27dvo149VeMYMzMzbNu2DW3atBHTWrdujQULFqjkJQofjDGMHDkyV/cGhWh+3vWJsqC9jy2cgkZWjtkkISkF1+6G4Mb9EETGJIBzwM7WEglJKTh49gUSEhQPUPXq1TF16lR07do1x2svd+4oDDZaNhSix1pbmiNdjdukmpWKi+b+jDG0beKn0eADAIp5OqK8jwe++6I+rk4QPF0oj9gePQ3G7fvPJfPvPqWK4tdpg5GckiruG3vxKhTXbz1BrRp+SEj8iFGTluH67Sca69268wSKF3VH9cq+cM8UtwwQ5vv7fd4Gy/+SOtRdtGonen/WAsFvI5CQqNg7Vq1aNcmLw4cPH3D//n1x75mHhwfGjx+vsT1yPD09cfjwYZw7dw5hYWHo1q0bLC0L51QNoYqPj4+KqzErKwsc3j4Pk2evxf+uqs5GyElPT8/30b2To/IILXehYwo6JGgaSE5Jw40Hb3HpZhAu3QrC7Uehkh9/dZibm2Pq1KmYOHGiitl3dlEWwCV/X8OlW8Eo6+0GG2tLcd1MzuOXEUhPzxANK0oUVRULZcqWcoeZGUMVP8UUX2om8/0r1x/Bu4TCQqpbh8awshJienXr0Bj/7hWmZecu3op/1k3DopU7sf2/01rrPX/5Hs5fvgcLC3MMG9AVE0d9ARtrYZR36vwtvIuIQcumNUVBkwtnaHg07j9+hVqBg2BnN0q0Eu3dW+o2q0GDBmqnD7MDYwxNmzbN1b2EaePi4oLmzZvj+HHBsrZZo+pY8dsoFC/qjvm/fItG7TWP4NLSMvJd0JRHaB9ohFa4ycjIwI0HIbh0MwgXbwXh+r2QHO3V8vPzw6ZNm1C3bt08taNbt26iVWR8fDxOXYrHqUvSmFa2NoK4RcYk4vf15zGoZ104OVir5MtMalo6XgRHY+6q02KalZUlkj6myI4tUKZ0UYz9eqV4PTRMEVTypxG9sHPfOXDOcfTUNVy//SRHoV7S0tKxaOVOHD5xBUvmjsCLV6H49sffAUDi6NjN1RE9OjfDmKE94VtLMNkfNWoUZs2apVJmr169sHz5chpZEXqhW7duoqABwvoxAFSpWAYdWtfHgWOX1N5nbZ3/z6NU0DQ7VDZlCr2gBb15h83/Hsfmf45nGba8gq8n6tcohTIlXVG0cg/Ex8cjLS0NtWvXRpMmTXTyo9q6dWt8//33WLRIfZwlMzOGjs0r4J/DgtHGiq2XsWnPTYwf3EzFuXBmLt8ORpuv10rSWjWvJe4ba1S3Ck6ek+6/UV478y/njW4dGmPX/nMAgN+W7oCriyM04exoj/E/fIGHT17jxu0nuCcLn/L4WTDadJduJn/wWBFIsUK5UpgzZRCcfBR+CqdPnw4/Pz+sWrUKycnJqFq1KgYMGKDRGTBB6IIuXbpg2DDBAfaFy/eQnJwqilWXdg3VClpg4xr52UQRFxqhFWxBU/7BywnJycnYs2cPDh06hA0bNmiMK+bv748WLVqgRYsWaNasGTw99b9ZkTGGP/74A8OHD8ejR4+QlJSEw4cP48yZM7Czs8O0adPQtGlT7C9dWlxHSkhMwZQ/1PtmrFGjBsLDwxEaGqpy7dNPP5VsKC5eujISM6Si3OyTLyWfc/9BGaKgXbz+BL/++qt4npkPcQmYOnc9pk+fjrV/H8CaNWvw448/StYb1dF/4Pcqf1szMzP069cP/fr103ovQeiSEiVKwNvbG8HBwUhLS8ebtxEoK4sKXaViGbX3TPmxr9p0fUNraAVY0LISszdv3iA5ORm+vr5gjCEpKQm3bt3C1q1bsXnzZkRHR6N+/foSMXN3d0enTp3QsmVLBAYGSpza5jflypVDuXLlAAA9eqjGXBo3bhx+/vlnrWXUrVsXO3bswMqVKzFnzhwxvXXr1hg5ciTevn2LIUOGiOmbN2+W3O/h4YFPP/1UkrZliyLqc/ny5fHll19i0KBBaut3cHBAfHw8JkyYgKCgIPz5559o27YtJk2ahK1bt0o+ey8vL/j4+GD48OHo06eP2vIIwhCUKVNG9Af6KjhMFDR1oyALC3P4aNiGom9oDa2AClpmMeOc4/Dhw1i3bh1evBAsDuWesj08PODu7o6nT5+qBFi8fv063N3dUbt2bQwYMACdO3fWm88+XTNlyhS0bdsWGzduxJ9//qk2z/Hjx+Ho6Ihp06bB398fL168QP369dG2bVswxtCsWTOtdfz2228qC9svXigcsF65cgXu7upjLhUtWhRFixYVQ7UsX74cw4YNQ+XKlbF582bMmzcPQUFB8PPzU+uUlyCMBeXnM91O4UNUnWXv+O97q7XkzQ9oDa0ACpqymMmF7Oeff8aVK1fU5o+MjFTrxsbHxwdff/01+vfvj9KlDetUNDeYmZmhXr16iImJUStoDRs2hKOjsL5lbW0tbj5WRh5qRRPq9m/NnDkTnTt3RnKy4HFE2Xzew8ND/KydnJywcOFCifXh1atXUbmy4L+xZMmSkhAvBGGMpKenS8LIWFtbw8mnI2Jf7cfVm9LwMl92b4kfh/XM7yaK0AitgG2slouZXMgaNGiA9u3baxQzZRhj8Pf3R79+/XD8+HE8f/4cU6dOLZBipkxgYCCaNFFEzTU3N8d3332HI0eOaLlLwNfXV+O1n376SeJxQ06bNm1w/Phx1KtXTxzNOjo6YtSoUdi+fbuY78mTJyqm9AVl9EsQcv744w/cv38fgPDdqlq1KmJiYuDk0xFPnksjRbRoUjNbzhP0BQlaARqhycXs2bNnGDhwIM6cOSO5bm1tjcGDB6N3796wtraGr68vnJ2d8eTJEyQkJKBChQqws7NTV3SBxtraGmfOnMGDBw8QFxeHcuXKZXsKr3fv3pKN3HLu3LmDqlWraryvcePGuHTpEjjniIqKgrOzMywtLZGamooiRYqI3u2Vsbe3xyeffJL9jhGEEbBnzx7xOD09Hb6+vuCci8+7MqMnL0e3Do0N5i7N1sYaFhbmSEtLR3JKKj4mp4j7PQsLBULQnHw6IiMjA0uWLMGECRMk01xWVlYYPHgwxo8fr9aIw9/fPz+bahAYY+JUXk746aef4O7ujqVLlyI+Ph6tW7fG4MGDtYpZ5nqVxdPS0hJHjhzB7NmzcfjwYdjb28PPzw9eXl4YOnQo3NzcctxGgjAk5cuXx7lzCiteuSFTZjEDFFa9syYNULmWHzDG4Oxkj6joWABAbGwCbDwLl6AxTSbrxkLt2rX5mTNn8Omnn+Lo0aNiurm5Ob799luMHz+e1mIIgtALO3fuRPfu3bOd369sSVw9vjzP9cZ8iIers0PWGTNRq8W3ePYyBABw6chSVPTTz5KKc5lO1znn2kNlGACjX0PLyMhAp06dJGJWtWpVXLlyBUuXLiUxIwhCb3Tu3BkNGzaUpA0ePFji1FpOQLXyedqDlpaWjtm/b8adBy9QttaX6NBrAs7873aOyiji6SIeh4RGac5oohj9lOOzZ88koVh++uknzJgxQwzQSBAEoS8sLS1x7NgxLF++HA8ePEDDhg3Rrl07yfKGl5cXnj9/DgcHB8S+2p+rejjnGD1lOTZsO4K/th5GenoGzl++h0v9p2H/llnZiu4OAOXLlsSFK4IRy+37z9GqWUCu2lNQMXpBUxazOXPmZMuLOkEQhK6ws7PDmDFjxHNl7zoA0LZtWzg4CNODcpP+7HDr3jP8teUwPN2dsfvABXGq8F3EezFPWlo6Jsxcg9N7fs9WmbWq+2H9VsHC+YaWCBimitFPOcqZOXMmiRlBEAbH3NwcvXr1Es9Pnz6Nu3cVAXGz45IvKvoDuvSZgvVbj+DqzSd49jIEXh6uAIBe3QJxdv8fYt6bd54h5kP2NkrXqu4nHl+6/hBpadl3sG4KFAhB++WXXzBp0iRDN4MgCAIAMHbsWNE8PygoCC1btpRsV8lK1BYu/xfvZSIVGi6sdU34oTdGDOqGJXNHoHrlsqjoV0rMf/fBC7XlZKZCeW8U8RSEMTLqQ47X4Ao6Ri9oxYoVw9SpUw3dDIIgCJGAgACsXr0aNjZCpPWIiAhMnDhRkkeTqGVkZEgcejdrWA3//jUN7VrVxcyJ38DKSnAQXqemwrHBgJHzMeO3Tdhz6ALOXbyDA8cuYdWG/Th2+hr2Hv4f4uIFZ8Tm5ub4rJPC0cI/e6T7dU2dAmG2f+3aNUM3gyAIQoWDBw+iQ4cO4vnly5dVYiJmXlO7dvMxWn76IwDA1cURz65ugoWF6mbsOw9eoHnnUUhXE1jYwtwcaenpqBdQAZdvPELJ4h64cGgJXJwccOPOUwR2GQ0AcLC3xdOrG2Fna5PnvipDZvsEQRAmRvv27dG5c2fxfOTIkSpO0JVJS0vHlDl/Ke5vVVetmAFAtUq+2LBsPDzdXVSulfMVPP7fuicE9X3zNhKrNxwAANSsWg7lyghWmPEJSTh84mrOOlWAIUEjCILIAwsXLhS3EV2+fBmbNm3SmHfe4q3431XBrN7MzAwDvmyvtexOnzTA3fNrsHnlRAzo0w7tW9VD7Rr+6NKuEb7s0QplShcV8y5btwfxCUlgjKFHF0UkjcI07UhTjgRBEHlk0qRJmD17NgCgSJEiePz4MZydhTAy8inHN28jUK3pQHEKcfLoPhg74vM81ZuWlo6AFkPwOlgwSFnzxxj06NIcz1+9RUCgEOvQ0tICQbe36nTakaYcCYIgTJQJEyaIm63Dw8OxbNkylTxHT18TxSygWnmMHpp9l1qasLAwx+ddm4vnt+4KU5BlfYrDwd4WAJCamobHz97kua6CAAkaQRBEHnFwcMD06dPF8wMHDqjkiYh8Lx4HNq6hM6/81SqXFY9v3XsGAFj+117EJyjFKnRz0kldxo7RewohCIIoCLRu3Vo8fvbsmcp1eztb8TgqJlZn9Spvpr5w5T5afToWV28+EtO6d24K7xJeOqvPmKERGkEQhA6Qr5kBQGysqmApb5S+/+iVzuotXtQd9WpVBADY2lhJxKx+7Yr4feYwndVl7JCgEQRB6ICQkBDxuFixYirX/coqIoO8ClINgpsXZk8agEr+pdGnRysxrW/P1ti5/hc4OZpeYGNN0JQjQRCEDnj58qV47OPjo3I9MSlZPLa31+1G59o1/XH+wCJcuvYQXp6uaN28FmpUKafTOgoCJGgEQRA6QFnQypQpo3JdeZqxrE9xnddvbm6ORvWqoFG9Kjovu6BAU44EQRA6IDIyUjwuWrSoynW5Vw8AqFpJVfCIvEOCRhAEoQNcXFzE41u3bqlcj4x6Lx5bWtDkmD4gQSMIgtABgYGB4vHBgwfx++/SoJz1a1cSj9duPqhTS0dCgASNIAhCB1SrVk0S+HP06NHYvHmzeP5pxybw8nABAETHxKFtz3F4+OR1fjfTpCFBIwiC0BHr1q1D48aNxfOvvvpKDLLpYG+LdUt+gqODsME6Ni4Rs37frLYcIneQoBEEQegIW1tb7N27F5UrVwYApKWlYfCYpYh+HwcAaFK/KnasnSbm33f4Ig4dv2KQtpoiJGgEQRA6xNXVFUeOHIGXl+BuKiwsDEs2KSKGNKxbGY3qVhbPew+eie8nLkV6enq+t9XUIEEjCILQMSVKlMDSpUvF86VLlyI4QWGqv3DmUBQv6g4A4Jxj/dYj+H3lznxvp6lBgkYQBKEHunfvjoYNGwIAUlJSEBgYiJuvHQEAFcqXwtl9f4iRpQFgxvxNNErLI1kKGmPMmzF2ijH2kDF2nzH2vSy9h+w8gzFWO9M98xlj1xhjzWTnPowxzhgboZRnKWPsKx33hyAIwihgjGHVqlWwsxN8KUZERKBVq1bYsO8lOOfw9HBBm+a1JPeER7w3QEtNh+yM0NIAjOGcVwRQH8AwxlglAPcAfArgrHJmxlgF2WFTAMpunt8B+J4xZpXnVhMEQRQAKleujMOHD4vraWlpaRg5ciSmLToBAAgKeSfJ/+ZtRL630ZTIUtA456Gc8xuy4zgADwGU4Jw/5Jw/VnOLOYAMABwAU0qPAHACQP88t5ogCKKA0KRJE1y7dg116tQR0xYtWoS7Ia5ISPwoyRtMgpYncrSGxhjzAVATwGVNeTjn9wHYATgPYHmmy3MBjGGMaQ3VyhgbLJuyvBYRQX9ggiAKNt7e3jh79qwkCOiePXuQCgdJvjch9HuXF7ItaIwxBwA7AfzAOdcabpVzPoJzXotzfjJT+ksAVwB8kcX9qzjntTnntT09PbPbRIIgCKPFxsYGw4cPF89PnDgBGxtpGJnXb8Lyu1kmRbYEjTFmCUHMNnPOd+WxztkAxmW3boIgCFOhWbNmMDMTfvpu3rwpGozIOXT8CuITkgzRNJMgS5fPjDEGYC2Ah5zzhXmtkHP+iDH2AEBHCKM1giCIQoGzszPq1KmDy5cvg3OOmzdvSq6/DYvCz/M24Lfp3+apnojnZ7PM41m2aZ7qMEayE8OgEYC+AO4yxm7J0iYCsAawBIAngAOMsVuc80+yWe8sADezzEUQBGFidOzYEZcvC2YIwcHBKtfX/H0QIwd/ilIlvXJVfnbELKt8BVXsGOfc0G3QSu3atfm1a9eyzkgQBFEAiI2Nhb+/P8LCNK+XTR7TB2OHf56jcrMrZDlFnbg5l+l0nXNeW012g0LrWARBEPmIk5MT5s2bpzXPjn1XkN3BRsTzs3oTM+Xy9VmHriBBIwiCyGf69OmD+vXra7z+5MkTPI4oorUMQ4iMsQsbCRpBEEQ+Y2ZmhsWLF0OwuVPPxo0btZZRUNe59AkJGkEQhAGoU6cOvvnmG43Xt27dipSU1HxsUcGHBI0gCMJAzJ49G05OTmqvRUdH4+hp7QZxNEqTQoJGEARhILy8vDB16lSN17fuOpWPrSn4kKARBEEYkCFDhsDFxUXttSMnryI6RqunQRqlKWH0gmbs++QIgiDygoODAwYPHqz2WmpqGg4c0+gLnsiE0Qvau3fvss5EEARRgBk+fDisrNSHirx0/WGW99MoTcDoBS0sLAypqWTpQxCE6eLt7Y21a9eqvXYlG4JGCBi9oKWlpWHOnDmYM2cOYmO1zyUTBEEUVPr06YONGzfCz88PgYGBYvqT52/w794zWS6/ZB6lnb36EgvWncOL4Gi9tNcYMXpfjowxsYFTp07FL7/8YsjmEARB5Au9evXC9u3bxfOAauWxeM4IVK1URuM9ci8eUe8T0bj3CqSmpgMAJn4biK8/q6V1I3dOKNdqPvlyzCsU7JMgiMLCzz//DGcnR/H8xp2naNxhJAICh+Dvf46rvUc+SrOzsRTFDABmrziFLftu6bW9xkCBErRBgwYZugkEQRD5QoUKFXD+zH580etTWFpaiunPX73FsJ8W4dK1BxrvtbWxROtG5SRps1ecRkR0vN7aawwUCEGzs7NDbGwsrK2tDd0UgiCIfMO3TGmsXrEQly8cQquW0jWyIWN+x+s34Sr3yEdp88a2g62NQgiTU9Iwe/lpvbbX0Bi9oLm6uiIyMhKOjo5ZZyYIgjBB/P3KYc/Ojbh68SisrQXz/ldBYWjbYxweP1MNEgoATg42GDeomSRt36mHOHftpd7bayiMXtB8fX1ha2tr6GYQBEEYnEoV/fD3+j/FPWtvw6LQsfdERES+l+STj9K+7FwDTWr7SK4NnrIb76JMc+rR6AWNIAiisGLnXFolrX27Vtj9z3rY29sBAN5FvsfEmap72DzLNgVjDPPGtpOkp6am48e5B0zSCxMJGkEQhBGjTtSaN2uITeuXief/HTqvNtSMZ9mm8HJ3wPJfukrS/3czCKcuv9B5Ww0NCRpBEISRo07UPmkdCO+SJQAAKSlpeKRhLc2zbFO0blQeVf2KStKXb7mk+4YaGBI0giCIAoA6UQuoWVU8PnXulsZ7Pcs2hXcxZ0na/afhSE/P0Fn7jAESNIIgiAJCZlFr2KCOeDx30RYcPnFF472+5SpKzlNS0xEc9gExH5IQGhGH1LR0DXcWHEjQCIIgChDKovZ1/97wLSOcJyYlo/fgWVjz90G19xUv5q6S9t20/1Dns6Vo0nsFGvVagYNnHuun0fkECRpBEEQBQy5q9vZ22LljHUqXKgkAyMjIwJgpyzF17npkZEinE4sX9VAp5+mrSPE4+n0ixszZj1dvYvTYcv1CgkYQBFEAkYuaX/myOHV8NwJqVhOvLVq5EwO+/w0fk1PEtDo1/bN0TpyaloEj55/op8H5AAkaQRBEAUUuakW8PHF4/za0b9tKvLZr/zl07TMFMR+ETdQli3uiSYOqastR5lUIjdAIgiAIA6A8/bht80oMHthXvHbx2gMM/H6+OP34xact1ZZhY20hHmflRSQ5JS2vTdYbJGgEQRAFHLmomZubY+H86Zg1Y6J47fiZG1j+114AwCct60juq1G1HEb0bYj1c3uIaVkJWkR0gq6arXNI0AiCIEwAuagxxvDDiMH4YeQQ8dq8xduQ9DEZiYkfxTRXF0ec2fs7Zk6fAO9iLmL6uyjtgpWUrOqRxFggQSMIgjARlE36p00egzI+pQAAH2ITsOfgBYlnfr+yJcXjCrU+gdxeJOp9Ij5qES03J+N1Fk+CRhAEYULIRc3Kygpff9VbTP9r62G8eB0qnpf3LSEeW1iYw7uEl3g+e8VppGnwIuJCgkYQBEHkF3JR6/NFd1hYCAYfl649xEslQcvsbf+r3m3F4y37bqHv2O2Ijf+IzJiZaTf9NyQkaARBECaInXNpFPHyRKcObcS0fUcuisdR0bGS/CMHdcMnTfzE86t33qBl/zVYsul/OHz2segaK9yIY6mRoBEEQZgods6lJdOOQW/eicdRMVJBs7S0wJIpnTHqq8ZiWsyHJCzacAHDp+/FNxP+RWpaOm49eKv/hucSEjSCIAgTpkPnL1Dau4hKenRMnErancehOH/jldpyLt4MwvvYJCzfelnXTdQZJGgEQRAmjJmZGb4d+oNKuvIILSHxIybMWI0eIzfj6p03assZ1LMOTl56gftPw/XV1DxjkXUWgiAIoiAzbNgwLF26FCEhIWLa+w/xSE9Px9mLdzFywhLJdCQAlC7hgqp+RRFYvywC6/ki9F0cuo/cnN9NzxEkaARBECaOo6MjtmzZgmbNmolpVlYW2P7faQwdu0hi8di4lg9m/NBastk6Nv4jhv7yH5I+Gu+maoCmHAmCIAoFTZs2xbx588TzLu0aYcT4JaKYuTg7YP5P7fDX3O4SMcvI4Bgz9yBeh7zP5xbnHBqhEQRBFBLGjh0LNzc3JCQk4NKZPUiTmeJXqeCDXRunwyz2rso9yzZfxKlLz/O7qbmCBI0gCKKQwBjDwIEDAQDz588X03+fNQxFPF0RIbXkx+MXEVi88UJ+NjFP0JQjQRBEISQqKko8XrVxP17dO66SZ9nmi5Avr9WuUgIOdlb51bxcQYJGEARRCOndW7Hh+p89Z9Bt6CY8eKYwyX/6OhKHzj4Wzwf3qof4xBQYMyRoBEEQhZAVK1agb19FMNAXwdH4bMRmbNpzA5xz/Pn3JXF0Fli/LOpX9zZQS7MPCRpBEEQhxMrKChs3bsSGDRtgb28PAEhNTccvS05g+C97sO/UQzHv8D4NcO1eiKaijAYSNIIgiEJMv379cP36dVSvXl1MO3L+qXjctE4ZlCvtjiFTdhmieTmCBI0gCKKQ4+/vjwsXLqBy5cqSdGdHG/TrGgBkCjVjrJDZPkEQBAF7e3scO3YMkyZNwqNHj+DAInDhxmsMnLQTLRqUhZuLHcIjjTd0DECCRhAEQcgoVqwY1q1bBwDo1KkTEj8+AwCcvPgc5ubGG9hTDk05EgRBECooOzIGgPR04592JEEjCIIgVPjss88M3YQck6WgMca8GWOnGGMPGWP3GWPfy9LdGGPHGGNPZf+7Kt0znzF2jTHWTHbuwxjjjLERSnmWMsa+0kOfCIIgiDwyfvx4FCmiGhjU1dnWAK3JHtkZoaUBGMM5rwigPoBhjLFKAMYDOME5Lw/ghOwcjLEKsvuaAhimVM47AN8zxozbdwpBEAQBc3NzDBo0SCXdysLcAK3JHlkKGuc8lHN+Q3YcB+AhgBIAugDYIMu2AUBX2bE5gAwAHIDyKmIEBOHrr4uGEwRBEPrlp59+UhmlhUcZr6VjjqwcGWM+AGoCuAygCOc8FBBEjzHmJTu+zxizA3AewNhMRcwFcIgxti6LegYDGCw7jWaMvcxJOwswHgAiDd2IfIT6a9oUpv4Wpr4CgI2hG6CObAsaY8wBwE4AP3DOYxnTbMLJOR+hIf0lY+wKgC+01cU5XwVglazea5zz2tltZ0GmMPUVoP6aOoWpv4Wpr4DQX0O3QR3ZsnJkjFlCELPNnHO5/5Nwxlgx2fViENbIssNsAOOyWzdBEARBZIfsWDkyAGsBPOScL1S6tBeK9bD+APZkp0LO+SMADwB0zFlTCYIgCEIz2ZlybASgL4C7jLFbsrSJENbDdjDGBgAIAtAjB/XOAnAzm3lX5aDcgk5h6itA/TV1ClN/C1NfASPtL+MFxOkkQRAEQWiD1rEIgiAIk4AEjSAIgjAJDCJojLFRMjda9xhjWxljNoyx7YyxW7J/r5TW6zS50kpSyn+LMdbPEH3JDhr6W4MxdknW9muMsbpK+U2xv9UZYxcZY3cZY/sYY05K+Qtsfxlj38v6eZ8x9oMsLadu4QpEXwGN/e0hO89gjNXOlN8U+zufMfaIMXaHMbabMeailN8U+ztD1tdbjLGjjLHiSvmNq7+c83z9B8HLyEsAtrLzHQC+ypRnAYCpsuMKAOYDsAOwQ5bmA+Befrddl/0FcBRAO1laewCnTby/VwE0k6V9A2BGQe8vgCoA7snabgHgOIDyAH4FMF6WZzyAeQW9r1n0tyIAfwCnAdRWym+q/W0DwEKWZ14h+Ps6KeUZCWCFsfbXUFOOFgBsGWMWsg/jrfwCY4wB6AlgqyxJkyutgoS6/nIA8lGKMxSfgan21x/AWdn1YwDkrrwLcn8rArjEOU/knKcBOAOgG3LuFq6goLa/nPOHnPPHavKban+Pys4B4BKAkrJjU+1vrFIeewj9A4ywv/kuaJzzEAC/QTD1DwXwgXN+VClLEwDhnPOnsvz3IfwongewXClf2UzD2ib504OcoaW/PwCYzxgLll2fIMtvqv29B6CzLFsPAN6y/AW5v/cANGWMuTPB3Vt7CP2SuIUDILqFQ8HtK6C5v2opJP39BsAhwLT7yxibJfut+hLAVMA4+5vvEatl6wldAJQB8B7AP4yxPpzzv2VZekMxOgOg0ZXWc855DT02VSdo6i+AugBGcc53MsZ6Qti83gow2f5+A2AxY2wqhE35KfJ7Cmp/OecPGWPzIIw44wHchhCdQts9BbKvAPUXmfrLGJskO9+sdI9J9pdzPgnAJMbYBADDAUyTpRtVfw0x5dgKwEvOeQTnPBXALgANAUA2RfUpgO0GaJe+0NTf/rJjAPgHgsCZAmr7yzl/xDlvwzmvBeGF5blBW6kjOOdrOecBnPOmAKIBPEXu3cIZPRr6a7Jo6i9jrD8Eb0dfctnikSmQjb/vFiiWC4wOQwhaEID6jDE72XpZSwghaQDhx/AR5/yNAdqlLzT19y2AZrI8LWA6Pwxq+8tk0RgYY2YAJgNYYcA26gylfpWC8DK2Fbl0C1cQ0NBfk0VdfxljbSH4o+3MOU80ZPt0jYb+llfK0hnAI0O0LTvk+5Qj5/wyY+xfADcgDGdvQuFGpRey/wUpy5RM+wGs45wv1llDdYSW/t4EsEg2Kv0IRbgcTRT0/n7LGJMHfN0F4K8siioQ/QWwkzHmDiAVwDDOeQxjLKdu4QpKXwH1/e0GYAkATwAHGGO3OOefaCmjoPd3KQBrAMeEdzZc4px/q6WMgt7fNYwxfwgGIK8BaOsrYMD+kusrgiAIwiQgTyEEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESWBh6AYYA4wxBqA5AC8DN4UgCCK33OScPzF0IwxJoRe0Fn4W3NOBwc4KKO6k/wFrMTdrvdfh5eWq9zoAwMm7rN7rsHfz1XsdZnZF9V4HACTCRu91hH5M0HsdAPA69r3e63gR9k7vdYSGh+u9DgBIiYzQfyVvw8CKeQBhUUU55/nTMSOj0AoaY8y3pAt7npYB1ChhDmdbBi9H/QtadR9bvddRsWL+/EAXr1tP73V4lm2q9zosXKvqvQ4AiIKT3uu4Exul9zoA4MLb13qvI+XuQ73XEfXggd7rAICUp4/1X4m7AxD1AYhLDGOliwFBYQ6c8/x5wzESCp2gMcbcy3maRbrZMfi6m+WLiBEEQegdxgAPF8DNCQiLAuxs4ln5UsCzYAvOebqhm5cfFBpBY4zZVC1mluRsA7jZMlQvbgZh6YwgCMKEMDMDinsCXm7Am3DAwTaNVS4LPHhhxjnnhm6ePjF5QWOMmdUpZZ7ubAOAAS38LGBuRkJGEISJY2EO+BQHklOA16GAi0MGY6wW5/yGoZumL0x6vq1pOQvuZsfS3ydxNC1nAX8vcxIzgiAKF9ZWgF9pQdxcHK8zLzfOGCtt6GbpA5McoTHGqhR1YnctzIC6pc3hYE0iRhBEIcfBDqhSFoiJBZKSX7GSRYCQd26c8xhDN01XmJSgMcZK+LixN54ODJWKmMHN3qQHoARBEDnH1QlwcQTeRQN2NtHMtwTw8q0N5zzZ0E3LKyYlaMWc2JukVKCxL00tEgRBaIQxoIg74OQA3HkKlPP+CKDA/2ia1BAmNJbbeTownHyShqCYDJi4QQ9BEETuSEsHXoUCj18B5b2BZ8EmoQUmNULjnCdB8GTlEZ3AI55FZKBKMdprRhAEAQDI4EBYpLBPrbgnEJ9kye+/SDN0s3SFSQmaHM55JARhK/c8MuPp04gMVC1uDiebAj+iJgiCyDmcC15EgsMBd2cg8aMjfxoUb+hm6RqTFDQ5nPNnAFgLPwt+IzgdjjZApaLmsLUkYSMIopAQmwC8egvY2QAJScV5fGKooZukL0xa0OScfJLGGGOsvKd5xoUXaSjmZAZ/LzNYmJOwEQRhoiQlC0LGORCbUJl/iM8fx5UGpFAIGgDIXL4wxpiljxtSTj1NQ1kPc/i4M5iRCyyCIEyF1DQgKAyITwLiEgI556cN3aT8otAImhzOeSoEYXNKTOUfTj3JQMWiZijmRKJGEEQBJj0DeBsBRMYAJYsAoZHmnPMMQzcrP2GF3bSdMVbSx40FxycDXo76FzU3B0u91+Hq6qj3OgDAzrO43uuwcSqm9zrMrN30XgcAfIT+//bRKfmzNzY8MU7vdYRGv9d7HVEx+eMkIy32g34r4ByIihEcEr8yjU3SuaHQC5ocxpgPgIEAduu5qm4mUkd+1WMqdeRXPdQX46sjv+ppzDlfpOc6jBoSNCUYY9c457WpDuOpx1TqyK96qC/GV0d+1ZNffTFmaMcxQRAEYRKQoBEEQRAmAQmalFVUh9HVYyp15Fc91BfjqyO/6smvvhgttIZGEARBmAQ0QiMIgiBMAhI0giAIwiQolILGGOvBGLvPGMtgjNVWSvdhjCUxxm7J/q1QulaLMXaXMfaMMbaYMe3+srTU0Zoxdl1W1nXGWAula6cZY4+V6vfKbV9k1ybI2vuYMfZJbvuSqcztSu17xRi7JUvX+NnlBsbYz4yxEKXy2mfVr1zUMZ8x9ogxdocxtpsx5qKnvrSVtfUZY2x8XsrKVK43Y+wUY+yh7Bn4Xpau8bPLZT2vZM/LLcbYNVmaG2PsGGPsqex/1zyU76/U1luMsVjG2A+66AdjbB1j7B1j7J5Smsa25+bZ0lCHzp8tDfXo/XtSoOCcF7p/ACoC8AdwGkBtpXQfAPc03HMFQAMIUV0PAWiXyzpqAiguO64CIETpmiRvHvtSCcBtANYAygB4DsA8N33RUvcCAFOz+uxyWfbPAH5Uk66xX7moow0AC9nxPADzdN0XAOayNvoCsJK1vZKOyi4GIEB27AjgiezzUfvZ5aGeVwA8MqX9CmC87Hi8/LPT0ecVBqC0LvoBoCmAAOW/p6a25/bZ0lCHzp8tDfXo/XtSkP4VyhEa5/wh5/xxdvMzxooBcOKcX+TC07IRQNfc1ME5v8k5fys7vQ/AhjFmnf3WZ68eAF0AbOOcJ3POXwJ4BqBubvqiDtmorieArbltey5R26/cFMQ5P8o5lwc3vASgpI7aqExdAM845y845ykAtkHoQ57hnIdyzm/IjuMAPARQQhdlZ4MuADbIjjcgF8+QBloCeM45f62LwjjnZwFEZ0rW1PZcPVvq6tDHs6WhL5rQ2fekIFEoBS0LyjDGbjLGzjDGmsjSSgB4o5TnDXTzw/EZgJtc6nftL9nUwZScTAWqoQSAYKVzeZt11ZcmAMI550+V0tR9dnlhuGzKZp3StJCmfuWVbyCMVuXoqi/6aq8EJrhuqwngsixJ3WeXWziAo0yYIh8sSyvCOQ8FBGEFkOX0eDbpBelLki77IUdT2wvasyUnP78nRo3JChpj7Dhj7J6af9rejkMBlOKc1wQwGsAWxpgThKm5zPBc1iFvX2UIUxFDlJK/5JxXhSAWTQD0zUNf1LZZS7py27JTX29If3g0fXaaG6i9nuUAygKoISt7QRb9yk0d8jyTAKQB2JzbvmjrZk7am6sKGHMAsBPAD5zzWGj+7HJLI855AIB2AIYxxprmsTy1MMasAHQG8I8sSdf9yLIJatLy9LfS87MF6Oh7YiqYbPgYznmrXNyTDCBZdnydMfYcgB+EtxvlKYOSAN5yzoeolpI1jLGSEByV9uOcP1eqP0T2fxxjbAuEKYKNuemLrM3emdsMDX1RvjGr+hhjFgA+BVBL6R5Nn901TeVkt1+MsdUA9stONfUrV3UwxvoD6AigpWwKNld90UKO2ptTGGOWEMRsM+d8FwBwzsOVrit/drlCPkXOOX/HGNsN4bkMZ4wV45yHyqax3+WlDhntANyQt1/X/VBCU9t1+rfKh2dL22ek1+fOWDHZEVpuYIx5MsbMZce+AMoDeCGblohjjNWXTQP2A7Anl3W4ADgAYALn/IJSugVjzEN2bAnhi3BPbSHZYy+AXowxa8ZYGVlfruioL60APOKci1OXmj673DZe9kMjpxsUn4XafuWyjrYAxgHozDlPVErXZV+uAijPGCsjG4H0kvUhz8j+fmsBPOScL1RK1/TZ5aYOe8aYo/wYgrHDPQh96C/L1h+5/D5kQjLq12U/MqGp7QXt2cqX70mBwtBWKYb4B+EP/wbCm1I4gCOy9M8gGGrcBnADQCele2pDeFieA1gKmZeVXNQxGUACgFtK/7wA2AO4DuCOrA2LkD0LK7X1yK5NkrX3MZQsGXPaFzV1rgfwbaY0jZ9dLv9GmwDclX0eewEUy6pfuajjGYR1BvnfYYWe+tIeggXicwCTdPgcN4YwjXRHqQ/ttX12uajDV/Y53JZ9JpNk6e4ATgB4KvvfLY99sQMQBcA5O89ADsrdCmEqLlX2PRmgre25ebY01KHzZ0tDPXr/nhSkf+T6iiAIgjAJaMqRIAiCMAlI0AiCIAiTgASNIAiCMAlI0AiCIAiTgASNIAiCMAlI0AjCwDDBs7ydodtBEAUdMtsniFzAGLPgCuezeS3rFYRICZG6KI8gCis0QiMKLUyITfWIMbZB5tz1X8aYHRPixZ1hgjPeI3JvDEyIVzebMXYGwPeMsTqMsf8xxm4zxq4wxhwZY+ZMiIV1VVbmENm9zWX3/yurczMTGAmgOIBTjLFTsrzLGWPXmBDj7Bel9raX3XueCXHs9svS7ZngmPYqE5ze6sSbP0EUNEzWlyNBZBN/AAM45xcYY+sADIPgfaUL5zyCMfY5gFkQPKYDgAvnvJnMjdUjAJ9zzq/KHMwmQfDe8IFzXocJYYEuMMaOyu6tCaAyBJ96FyA4/V3MGBsNIFBphDaJcx4tc5F0gjFWDYKnkZUAmnLOXzLGlB1DTwJwknP+jcy12hXG2HHOeYLuPy6CMF5I0IjCTjBX+NT8G8BECIFXjwmuEmEOwd2QnO2y//0BhHLOrwIAF7zcgzHWBkA1xlh3WT5nCH70UiD40nwjy3cLQrDH82ra1JMJYVosIATxrARhNuUFF2JbAYIbJHkolzYAOjPGfpSd2wAoBSE+GkEUGkjQiMJO5kXkOAD3OecNNOSXj3qYmnvl6SM450ckiYw1h8zLuox0qPn+yRzJ/gigDuc8hjG2HoJAaYuNxwB8xnMQtJYgTBFaQyMKO6UYY3Lx6g0hurCnPI0xZsmE2HWZeQSgOGOsjiyfIxPC6hwB8J0sYgIYY34yL/XaiAPgKDt2giCaHxhjRSCEVJHX58uEQJ4A8LnS/UcAjJB53wdjrGY2+k0QJgeN0IjCzkMA/RljKyF4X18CQSAWM8acIXxH/oDgIV2Ec54iW19bwhizhbB+1grAGghTiTdkAhMBoGsWbVgF4BBjLJRzHsgYuymr7wWEtTZwzpMYY0MBHGaMRUIaCmSGrI13ZHW+ghB+iCAKFWS2TxRaZKOd/ZzzKoZuS3ZgjDlwzuNlorUMwFPO+e+GbhdBGAs05UgQBYdBMmOS+xCMTVYatjkEYVzQCI0gCIIwCWiERhAEQZgEJGgEQRCESUCCRhAEQZgEJGgEQRCESUCCRhAEQZgE/wcJwhzVXouAIgAAAABJRU5ErkJggg==\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 MPI-CHIRPS)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(gcm mpi-chirps).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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": 21,
     "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": []
  }
 ],
 "metadata": {
  "kernelspec": {
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