Seasonal Bias(gcm Miroc5-trmm).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
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       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dd0ae806-a145-4020-94e2-56570e7a79f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd0ae806-a145-4020-94e2-56570e7a79f3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 132</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2e9568b0-9310-45ac-b043-b33c9577e6a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e9568b0-9310-45ac-b043-b33c9577e6a0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-01-01 ... 2008-12-01</div><input id='attrs-36a0a29e-a7e8-4f7e-af11-a559bbad1f15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36a0a29e-a7e8-4f7e-af11-a559bbad1f15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db692c59-4bba-4315-9461-f783ddef5845' class='xr-var-data-in' type='checkbox'><label for='data-db692c59-4bba-4315-9461-f783ddef5845' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-01-01T00:00:00.000000000&#x27;, &#x27;1998-02-01T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-11-01T00:00:00.000000000&#x27;, &#x27;2002-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2003-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-03-01T00:00:00.000000000&#x27;, &#x27;2003-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-05-01T00:00:00.000000000&#x27;, &#x27;2003-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-11-01T00:00:00.000000000&#x27;, &#x27;2003-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2004-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-03-01T00:00:00.000000000&#x27;, &#x27;2004-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-05-01T00:00:00.000000000&#x27;, &#x27;2004-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-11-01T00:00:00.000000000&#x27;, &#x27;2004-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2005-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-03-01T00:00:00.000000000&#x27;, &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-05-01T00:00:00.000000000&#x27;, &#x27;2005-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2006-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-03-01T00:00:00.000000000&#x27;, &#x27;2006-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-05-01T00:00:00.000000000&#x27;, &#x27;2006-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-07-01T00:00:00.000000000&#x27;, &#x27;2006-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-09-01T00:00:00.000000000&#x27;, &#x27;2006-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-11-01T00:00:00.000000000&#x27;, &#x27;2006-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2007-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-03-01T00:00:00.000000000&#x27;, &#x27;2007-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-05-01T00:00:00.000000000&#x27;, &#x27;2007-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-07-01T00:00:00.000000000&#x27;, &#x27;2007-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-09-01T00:00:00.000000000&#x27;, &#x27;2007-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-11-01T00:00:00.000000000&#x27;, &#x27;2007-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-01-01T00:00:00.000000000&#x27;, &#x27;2008-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-03-01T00:00:00.000000000&#x27;, &#x27;2008-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-05-01T00:00:00.000000000&#x27;, &#x27;2008-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-07-01T00:00:00.000000000&#x27;, &#x27;2008-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-09-01T00:00:00.000000000&#x27;, &#x27;2008-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-11-01T00:00:00.000000000&#x27;, &#x27;2008-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-3b2d3d7b-f5a7-4fef-afe6-e253a53efe90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b2d3d7b-f5a7-4fef-afe6-e253a53efe90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3086ee34-59fc-464d-8d27-2257d0062222' class='xr-var-data-in' type='checkbox'><label for='data-3086ee34-59fc-464d-8d27-2257d0062222' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-82829f78-b308-41a9-8f64-cd389bde0b34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82829f78-b308-41a9-8f64-cd389bde0b34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dc675b2-47aa-4dad-b284-95b14f6c671e' class='xr-var-data-in' type='checkbox'><label for='data-7dc675b2-47aa-4dad-b284-95b14f6c671e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08e3d712-9428-4bea-9480-a0382f6efab5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-08e3d712-9428-4bea-9480-a0382f6efab5' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1cdbb0c3-8c8d-4ec6-bcbf-e518ecabb5fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cdbb0c3-8c8d-4ec6-bcbf-e518ecabb5fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3486345-daf4-4001-b61f-8a9620bf3faa' class='xr-var-data-in' type='checkbox'><label for='data-d3486345-daf4-4001-b61f-8a9620bf3faa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980101, 19980201, 19980301, 19980401, 19980501, 19980601, 19980701,\n",
       "       19980801, 19980901, 19981001, 19981101, 19981201, 19990101, 19990201,\n",
       "       19990301, 19990401, 19990501, 19990601, 19990701, 19990801, 19990901,\n",
       "       19991001, 19991101, 19991201, 20000101, 20000201, 20000301, 20000401,\n",
       "       20000501, 20000601, 20000701, 20000801, 20000901, 20001001, 20001101,\n",
       "       20001201, 20010101, 20010201, 20010301, 20010401, 20010501, 20010601,\n",
       "       20010701, 20010801, 20010901, 20011001, 20011101, 20011201, 20020101,\n",
       "       20020201, 20020301, 20020401, 20020501, 20020601, 20020701, 20020801,\n",
       "       20020901, 20021001, 20021101, 20021201, 20030101, 20030201, 20030301,\n",
       "       20030401, 20030501, 20030601, 20030701, 20030801, 20030901, 20031001,\n",
       "       20031101, 20031201, 20040101, 20040201, 20040301, 20040401, 20040501,\n",
       "       20040601, 20040701, 20040801, 20040901, 20041001, 20041101, 20041201,\n",
       "       20050101, 20050201, 20050301, 20050401, 20050501, 20050601, 20050701,\n",
       "       20050801, 20050901, 20051001, 20051101, 20051201, 20060101, 20060201,\n",
       "       20060301, 20060401, 20060501, 20060601, 20060701, 20060801, 20060901,\n",
       "       20061001, 20061101, 20061201, 20070101, 20070201, 20070301, 20070401,\n",
       "       20070501, 20070601, 20070701, 20070801, 20070901, 20071001, 20071101,\n",
       "       20071201, 20080101, 20080201, 20080301, 20080401, 20080501, 20080601,\n",
       "       20080701, 20080801, 20080901, 20081001, 20081101, 20081201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a0de171-00ab-4ea2-92c8-27397139252f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a0de171-00ab-4ea2-92c8-27397139252f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8cb6a7e-9011-4259-bb75-68ea3fda4f9a' class='xr-var-data-in' type='checkbox'><label for='data-e8cb6a7e-9011-4259-bb75-68ea3fda4f9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25d5e691-5aea-41bc-b781-dac995d79125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25d5e691-5aea-41bc-b781-dac995d79125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf4cf6bd-e609-492f-830a-b45a2d78a2bb' class='xr-var-data-in' type='checkbox'><label for='data-bf4cf6bd-e609-492f-830a-b45a2d78a2bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[76032000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13b91ae1-ae00-42bd-9d90-6428119adaf9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13b91ae1-ae00-42bd-9d90-6428119adaf9' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 ...\n",
       "    datesec  (time) timedelta64[ns] ...\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/trm/MonthlyTRMM_3B43/3B43.1998_2008.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "800e4d90",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 131, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b51e05e-94d6-4138-9808-bc316cd153ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b51e05e-94d6-4138-9808-bc316cd153ef' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 131</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e1edb8e1-bf13-4b19-bafb-a7b58ea368b9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e1edb8e1-bf13-4b19-bafb-a7b58ea368b9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-02-01 ... 2008-12-01</div><input id='attrs-9938c1d9-cb0d-49b1-b2dc-9e1ddcdea41f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9938c1d9-cb0d-49b1-b2dc-9e1ddcdea41f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b79b33d-d90a-44b3-bd35-7aab65e0098b' class='xr-var-data-in' type='checkbox'><label for='data-1b79b33d-d90a-44b3-bd35-7aab65e0098b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-02-01T00:00:00.000000000&#x27;, &#x27;1998-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-04-01T00:00:00.000000000&#x27;, &#x27;1998-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-10-01T00:00:00.000000000&#x27;, &#x27;1998-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-12-01T00:00:00.000000000&#x27;, &#x27;1999-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-02-01T00:00:00.000000000&#x27;, &#x27;1999-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-04-01T00:00:00.000000000&#x27;, &#x27;1999-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-10-01T00:00:00.000000000&#x27;, &#x27;1999-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-12-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-01T00:00:00.000000000&#x27;, &#x27;2000-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-01T00:00:00.000000000&#x27;, &#x27;2000-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-01T00:00:00.000000000&#x27;, &#x27;2000-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-01T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-04-01T00:00:00.000000000&#x27;, &#x27;2001-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-10-01T00:00:00.000000000&#x27;, &#x27;2001-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-12-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-02-01T00:00:00.000000000&#x27;, &#x27;2002-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-04-01T00:00:00.000000000&#x27;, &#x27;2002-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-10-01T00:00:00.000000000&#x27;, &#x27;2002-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-02-01T00:00:00.000000000&#x27;, &#x27;2003-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-04-01T00:00:00.000000000&#x27;, &#x27;2003-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-10-01T00:00:00.000000000&#x27;, &#x27;2003-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-12-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-02-01T00:00:00.000000000&#x27;, &#x27;2004-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-04-01T00:00:00.000000000&#x27;, &#x27;2004-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-10-01T00:00:00.000000000&#x27;, &#x27;2004-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-02-01T00:00:00.000000000&#x27;, &#x27;2005-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-04-01T00:00:00.000000000&#x27;, &#x27;2005-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-02-01T00:00:00.000000000&#x27;, &#x27;2006-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-04-01T00:00:00.000000000&#x27;, &#x27;2006-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-10-01T00:00:00.000000000&#x27;, &#x27;2006-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-12-01T00:00:00.000000000&#x27;, &#x27;2007-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-02-01T00:00:00.000000000&#x27;, &#x27;2007-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-04-01T00:00:00.000000000&#x27;, &#x27;2007-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-10-01T00:00:00.000000000&#x27;, &#x27;2007-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-12-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-02-01T00:00:00.000000000&#x27;, &#x27;2008-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-04-01T00:00:00.000000000&#x27;, &#x27;2008-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-10-01T00:00:00.000000000&#x27;, &#x27;2008-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-12-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-13e84eab-ab54-419f-98fb-e8af87322648' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13e84eab-ab54-419f-98fb-e8af87322648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91375a3a-16f5-484d-9a26-abcb36a7d384' class='xr-var-data-in' type='checkbox'><label for='data-91375a3a-16f5-484d-9a26-abcb36a7d384' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-9f084b12-5bdf-4f72-84b5-4a299d93dde8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f084b12-5bdf-4f72-84b5-4a299d93dde8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd991fb6-5fb4-4dbd-b042-e9c26008d450' class='xr-var-data-in' type='checkbox'><label for='data-fd991fb6-5fb4-4dbd-b042-e9c26008d450' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b834684f-1f70-4d30-822f-c5f5d4573049' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b834684f-1f70-4d30-822f-c5f5d4573049' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980201 19980301 ... 20081201</div><input id='attrs-ac5481c3-c0f1-49b5-a3a7-001f4cafcdf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac5481c3-c0f1-49b5-a3a7-001f4cafcdf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3daa0961-3629-4a62-bc4b-71ba944102b5' class='xr-var-data-in' type='checkbox'><label for='data-3daa0961-3629-4a62-bc4b-71ba944102b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980201, 19980301, 19980401, 19980501, 19980601, 19980701, 19980801,\n",
       "       19980901, 19981001, 19981101, 19981201, 19990101, 19990201, 19990301,\n",
       "       19990401, 19990501, 19990601, 19990701, 19990801, 19990901, 19991001,\n",
       "       19991101, 19991201, 20000101, 20000201, 20000301, 20000401, 20000501,\n",
       "       20000601, 20000701, 20000801, 20000901, 20001001, 20001101, 20001201,\n",
       "       20010101, 20010201, 20010301, 20010401, 20010501, 20010601, 20010701,\n",
       "       20010801, 20010901, 20011001, 20011101, 20011201, 20020101, 20020201,\n",
       "       20020301, 20020401, 20020501, 20020601, 20020701, 20020801, 20020901,\n",
       "       20021001, 20021101, 20021201, 20030101, 20030201, 20030301, 20030401,\n",
       "       20030501, 20030601, 20030701, 20030801, 20030901, 20031001, 20031101,\n",
       "       20031201, 20040101, 20040201, 20040301, 20040401, 20040501, 20040601,\n",
       "       20040701, 20040801, 20040901, 20041001, 20041101, 20041201, 20050101,\n",
       "       20050201, 20050301, 20050401, 20050501, 20050601, 20050701, 20050801,\n",
       "       20050901, 20051001, 20051101, 20051201, 20060101, 20060201, 20060301,\n",
       "       20060401, 20060501, 20060601, 20060701, 20060801, 20060901, 20061001,\n",
       "       20061101, 20061201, 20070101, 20070201, 20070301, 20070401, 20070501,\n",
       "       20070601, 20070701, 20070801, 20070901, 20071001, 20071101, 20071201,\n",
       "       20080101, 20080201, 20080301, 20080401, 20080501, 20080601, 20080701,\n",
       "       20080801, 20080901, 20081001, 20081101, 20081201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-99ba8ca0-a146-4098-a177-fcee7f3d02ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99ba8ca0-a146-4098-a177-fcee7f3d02ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-436503b5-2608-46aa-9109-96279fc63a53' class='xr-var-data-in' type='checkbox'><label for='data-436503b5-2608-46aa-9109-96279fc63a53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d9486b4-9de2-43ef-905e-9cb64118e0da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d9486b4-9de2-43ef-905e-9cb64118e0da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48dfb3a1-bb49-4c7a-9b6d-b4f156505655' class='xr-var-data-in' type='checkbox'><label for='data-48dfb3a1-bb49-4c7a-9b6d-b4f156505655' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[75456000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50f3689a-c897-4116-af87-3b9905770284' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50f3689a-c897-4116-af87-3b9905770284' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 131, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2008-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-877dc1a8-80b3-4a6e-90b8-9a96c546c674' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-877dc1a8-80b3-4a6e-90b8-9a96c546c674' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c565588-2552-4551-941a-cb3eb08fcbd5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c565588-2552-4551-941a-cb3eb08fcbd5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2008-09-01</div><input id='attrs-8ec2e5a0-641a-400d-9193-015a8f0026ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ec2e5a0-641a-400d-9193-015a8f0026ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-562202d9-f8f4-4fa2-afb6-c7348e692664' class='xr-var-data-in' type='checkbox'><label for='data-562202d9-f8f4-4fa2-afb6-c7348e692664' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-eb3eeb3b-f345-41b8-8b44-2c4289cf3896' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb3eeb3b-f345-41b8-8b44-2c4289cf3896' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7adfa42-05e0-4bb5-901c-62c3f4534b60' class='xr-var-data-in' type='checkbox'><label for='data-e7adfa42-05e0-4bb5-901c-62c3f4534b60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-8519c936-a5ab-4cb4-98ed-e2c591834e27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8519c936-a5ab-4cb4-98ed-e2c591834e27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c338b4e4-0e3e-4959-be0d-08cced52de77' class='xr-var-data-in' type='checkbox'><label for='data-c338b4e4-0e3e-4959-be0d-08cced52de77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a677457-fd4e-4383-a595-8132a4f20d78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4a677457-fd4e-4383-a595-8132a4f20d78' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20080901</div><input id='attrs-d74bbbf3-b951-4898-b84c-32eb008f901b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d74bbbf3-b951-4898-b84c-32eb008f901b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e54fe221-c7f1-473d-bd9e-a801905c423b' class='xr-var-data-in' type='checkbox'><label for='data-e54fe221-c7f1-473d-bd9e-a801905c423b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-454177bf-8dfb-4397-803b-b9aa1b0f1de1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-454177bf-8dfb-4397-803b-b9aa1b0f1de1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b48f2bea-bfc0-40dc-81ac-3b17b0287e09' class='xr-var-data-in' type='checkbox'><label for='data-b48f2bea-bfc0-40dc-81ac-3b17b0287e09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6fcb07a2-f0bb-4b65-98f9-f712eff8c490' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fcb07a2-f0bb-4b65-98f9-f712eff8c490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cf33c48-94c1-4971-84db-7c7817a7f972' class='xr-var-data-in' type='checkbox'><label for='data-3cf33c48-94c1-4971-84db-7c7817a7f972' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[25344000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-615a6d5b-fd0a-4dc6-b32b-547542ab87ae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-615a6d5b-fd0a-4dc6-b32b-547542ab87ae' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(lon=slice(0,100),lat=slice(0,50))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91600dec",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1546 0.1725\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-00aaedef-55e1-4485-a58f-fbcc7640847f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00aaedef-55e1-4485-a58f-fbcc7640847f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e4c8adc0-a8b1-4e9d-b5aa-66a155c0d801' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4c8adc0-a8b1-4e9d-b5aa-66a155c0d801' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2008-09-01</div><input id='attrs-2a8dbca0-aad1-405c-b7f9-de807cbfb0b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a8dbca0-aad1-405c-b7f9-de807cbfb0b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e265dd4e-bf20-4835-bb5c-732116a833e0' class='xr-var-data-in' type='checkbox'><label for='data-e265dd4e-bf20-4835-bb5c-732116a833e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-f19b104a-1cb8-4545-9575-58feb21cebcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f19b104a-1cb8-4545-9575-58feb21cebcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-197f2ffb-08af-4ccd-a1a7-a00d1744fbcb' class='xr-var-data-in' type='checkbox'><label for='data-197f2ffb-08af-4ccd-a1a7-a00d1744fbcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-31242804-a7da-4fb7-80bd-fe273981a0d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31242804-a7da-4fb7-80bd-fe273981a0d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bdd1867-4759-4d65-9f21-f73d8f18edbc' class='xr-var-data-in' type='checkbox'><label for='data-2bdd1867-4759-4d65-9f21-f73d8f18edbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-647624db-a58f-4230-a1a3-7c86418ed299' class='xr-section-summary-in' type='checkbox'  checked><label for='section-647624db-a58f-4230-a1a3-7c86418ed299' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20080901</div><input id='attrs-c666fcd3-0d86-4362-a6af-919f05804dbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c666fcd3-0d86-4362-a6af-919f05804dbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbd9bd93-bc59-436d-b90a-d12a39510258' class='xr-var-data-in' type='checkbox'><label for='data-dbd9bd93-bc59-436d-b90a-d12a39510258' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-37a795f8-13a5-44b3-940c-80d6910f4178' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37a795f8-13a5-44b3-940c-80d6910f4178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1e8db6e-1fa8-4bab-8312-d6b47439b2bd' class='xr-var-data-in' type='checkbox'><label for='data-b1e8db6e-1fa8-4bab-8312-d6b47439b2bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4308 0.3221 ... 0.1546 0.1725</div><input id='attrs-574df57a-8206-4177-8870-67806e3f3c8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-574df57a-8206-4177-8870-67806e3f3c8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aaffb53-3044-423d-b23a-e9185ba567aa' class='xr-var-data-in' type='checkbox'><label for='data-4aaffb53-3044-423d-b23a-e9185ba567aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.43078125, 0.32212433, 0.27652851, ..., 0.71414649,\n",
       "         0.69097066, 0.51104361],\n",
       "        [0.34645832, 0.28588545, 0.27891186, ..., 0.67252439,\n",
       "         0.71405703, 0.53020412],\n",
       "        [0.30466321, 0.28692707, 0.34890625, ..., 0.52755976,\n",
       "         0.44530717, 0.50524467],\n",
       "        ...,\n",
       "        [0.25164425, 0.22906637, 0.22276108, ..., 0.33158243,\n",
       "         0.39273235, 0.46620294],\n",
       "        [0.21053816, 0.24256794, 0.22192635, ..., 0.33510813,\n",
       "         0.34741056, 0.41668078],\n",
       "        [0.23194218, 0.24844146, 0.20519544, ..., 0.33965585,\n",
       "         0.34638026, 0.3829622 ]],\n",
       "\n",
       "       [[0.37044898, 0.34102049, 0.26514283, ..., 0.80254507,\n",
       "         0.74981993, 1.0030787 ],\n",
       "        [0.40648982, 0.32844895, 0.33179593, ..., 0.71308237,\n",
       "         0.75142395, 0.94209349],\n",
       "        [0.37599996, 0.33314285, 0.31755105, ..., 0.62495816,\n",
       "         0.7886126 , 0.82755727],\n",
       "...\n",
       "        [0.3215358 , 0.29425463, 0.30826288, ..., 0.42182425,\n",
       "         0.42999765, 0.49165663],\n",
       "        [0.42733508, 0.38913107, 0.27142769, ..., 0.37139747,\n",
       "         0.39354011, 0.39971459],\n",
       "        [0.3999373 , 0.25307888, 0.18362334, ..., 0.37438467,\n",
       "         0.37633306, 0.38990939]],\n",
       "\n",
       "       [[0.52216661, 0.47666663, 0.47158337, ..., 0.37171856,\n",
       "         0.40584445, 0.10438898],\n",
       "        [0.62325001, 0.64275002, 0.5449999 , ..., 0.36562327,\n",
       "         0.39959037, 0.09735143],\n",
       "        [0.41658324, 0.53420824, 0.67958325, ..., 0.37486681,\n",
       "         0.09073243, 0.08465517],\n",
       "        ...,\n",
       "        [0.23062222, 0.19550574, 0.15468805, ..., 0.16365661,\n",
       "         0.17726745, 0.20500195],\n",
       "        [0.19043835, 0.15959059, 0.14844435, ..., 0.16518691,\n",
       "         0.16267985, 0.17787705],\n",
       "        [0.24614835, 0.16127686, 0.11297111, ..., 0.14429274,\n",
       "         0.15462402, 0.17251129]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d065da8f-e5a2-4d5b-8faa-b3f08e6c8d1a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d065da8f-e5a2-4d5b-8faa-b3f08e6c8d1a' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1546 0.1725\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       ".xr-attrs dd {\n",
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       "}\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",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dd882a58-768a-46fe-b779-4660ea1aa4be' class='xr-array-in' type='checkbox' checked><label for='section-dd882a58-768a-46fe-b779-4660ea1aa4be' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.4117 0.4163 0.425 0.4361 0.4474 ... 0.2448 0.282 0.3049 0.3238 0.316</span></div><div class='xr-array-data'><pre>array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])</pre></div></div></li><li class='xr-section-item'><input id='section-bffd2cdb-242c-4823-8f7f-7211a89d5fbc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bffd2cdb-242c-4823-8f7f-7211a89d5fbc' 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-91838348-280a-407f-be6d-8c286d571acf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91838348-280a-407f-be6d-8c286d571acf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7513f60-f3d2-4ca6-bf46-e4fcd32aaaed' class='xr-var-data-in' type='checkbox'><label for='data-f7513f60-f3d2-4ca6-bf46-e4fcd32aaaed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-4d06746d-b0cc-412e-968a-0da5abef5fbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d06746d-b0cc-412e-968a-0da5abef5fbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcaa358e-c874-450d-a128-e5b0318ceab0' class='xr-var-data-in' type='checkbox'><label for='data-fcaa358e-c874-450d-a128-e5b0318ceab0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1fc8bd79-045c-460b-9440-fe7294f29529' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1fc8bd79-045c-460b-9440-fe7294f29529' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 40, lon: 32)>\n",
       "array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean*24\n",
    "\n",
    "trmm = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2012-12-16 12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2509c1e7-15c0-4dad-95a3-422dc7f1cc5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2509c1e7-15c0-4dad-95a3-422dc7f1cc5a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1956</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-17d07fe5-2aa2-4702-a0b4-4007521eef86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-17d07fe5-2aa2-4702-a0b4-4007521eef86' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-16 12:00:00 ... 2012-12-...</div><input id='attrs-d49807d9-b63f-44ec-9b17-0ee4af0374d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d49807d9-b63f-44ec-9b17-0ee4af0374d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-966d2117-6c47-4b2b-8e6c-d8e64bb2475a' class='xr-var-data-in' type='checkbox'><label for='data-966d2117-6c47-4b2b-8e6c-d8e64bb2475a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2012, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2012, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2012, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-66b097b4-125d-4163-8be2-ffbf2051ffb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66b097b4-125d-4163-8be2-ffbf2051ffb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a8541ec-c749-460f-8921-3a0ec73d5a1f' class='xr-var-data-in' type='checkbox'><label for='data-6a8541ec-c749-460f-8921-3a0ec73d5a1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-e38fe8f3-9e7a-45dc-aabc-f7d12bc178c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e38fe8f3-9e7a-45dc-aabc-f7d12bc178c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-662239c1-dba2-4d88-8978-9cbbf019fce4' class='xr-var-data-in' type='checkbox'><label for='data-662239c1-dba2-4d88-8978-9cbbf019fce4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-254b5e21-8139-40ea-808d-485c59bc98f5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-254b5e21-8139-40ea-808d-485c59bc98f5' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0ffe21a-8e3d-4cbd-86c8-0d9f579ba07e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0ffe21a-8e3d-4cbd-86c8-0d9f579ba07e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53ffb0f8-29bc-49f3-bbd0-a79dadf57aef' class='xr-var-data-in' type='checkbox'><label for='data-53ffb0f8-29bc-49f3-bbd0-a79dadf57aef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2013, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4dfa7c5-65a4-4d17-bf7b-d4d433746392' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4dfa7c5-65a4-4d17-bf7b-d4d433746392' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d9d3253-7eb9-453e-9832-1f6815e9bc06' class='xr-var-data-in' type='checkbox'><label for='data-3d9d3253-7eb9-453e-9832-1f6815e9bc06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae4916dd-24ac-4fff-af72-07f75d2b5623' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae4916dd-24ac-4fff-af72-07f75d2b5623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fc5dfb7-6092-4d42-9467-b36ca83770a8' class='xr-var-data-in' type='checkbox'><label for='data-2fc5dfb7-6092-4d42-9467-b36ca83770a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7e4c099-514f-45fe-bda8-b939876d1c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7e4c099-514f-45fe-bda8-b939876d1c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa4ecd80-11c1-4dd0-8a3d-035e08cdc049' class='xr-var-data-in' type='checkbox'><label for='data-fa4ecd80-11c1-4dd0-8a3d-035e08cdc049' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[64094208 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dafb885b-e7e7-42c0-9dbe-a5778879751c' class='xr-section-summary-in' type='checkbox'  ><label for='section-dafb885b-e7e7-42c0-9dbe-a5778879751c' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2012-12-16 12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening miroc5 data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/GCM/MIROC5/pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e0f877d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mkibria/miniconda3/envs/esp-sp/lib/python3.9/site-packages/xarray/coding/times.py:351: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/tmp/ipykernel_27645/1463838701.py:3: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
      "  datetimeindex = data.indexes['time'].to_datetimeindex()\n"
     ]
    },
    {
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       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2012-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fa8e8798-b5bf-45f5-a227-69808b7829a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fa8e8798-b5bf-45f5-a227-69808b7829a5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1956</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e0c899e1-2d17-4034-b1a9-74d1b546d14b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0c899e1-2d17-4034-b1a9-74d1b546d14b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2012-12-...</div><input id='attrs-c4113052-70e7-42a2-a0d5-60c3324dfe01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4113052-70e7-42a2-a0d5-60c3324dfe01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a3c711d-6430-4b9a-814e-ba3e2e1e964d' class='xr-var-data-in' type='checkbox'><label for='data-6a3c711d-6430-4b9a-814e-ba3e2e1e964d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2012-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-11-16T00:00:00.000000000&#x27;, &#x27;2012-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-2fb8077b-08fb-4dd1-90a4-f53c206820ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fb8077b-08fb-4dd1-90a4-f53c206820ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d8b757e-e761-4a96-9c14-4a4d1a9f4ac0' class='xr-var-data-in' type='checkbox'><label for='data-8d8b757e-e761-4a96-9c14-4a4d1a9f4ac0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-81d6c934-a264-4d59-b580-954c492d4f7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81d6c934-a264-4d59-b580-954c492d4f7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a26606a9-3c29-4a46-b17e-f61d597e1d4d' class='xr-var-data-in' type='checkbox'><label for='data-a26606a9-3c29-4a46-b17e-f61d597e1d4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e55d6360-8f4a-48fc-8770-d08ff0c54f54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e55d6360-8f4a-48fc-8770-d08ff0c54f54' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-01 00:00:00 ... 2013-01-...</div><input id='attrs-1ebb956e-1597-44d4-a34e-4414fd33add1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ebb956e-1597-44d4-a34e-4414fd33add1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bd199c7-29f6-48d1-8e17-3cb16dd975ef' class='xr-var-data-in' type='checkbox'><label for='data-3bd199c7-29f6-48d1-8e17-3cb16dd975ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2013, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-45ca2138-24c6-4324-b3da-21d8c4d16577' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45ca2138-24c6-4324-b3da-21d8c4d16577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28b75e44-973f-44d7-a65a-d0c245ba6dd7' class='xr-var-data-in' type='checkbox'><label for='data-28b75e44-973f-44d7-a65a-d0c245ba6dd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-ce7c5db7-81c3-44ad-88f3-ffdd9b334431' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce7c5db7-81c3-44ad-88f3-ffdd9b334431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc40f203-0026-42f8-8cfb-e76c94a1ccc9' class='xr-var-data-in' type='checkbox'><label for='data-fc40f203-0026-42f8-8cfb-e76c94a1ccc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64118b24-ba20-4c77-8ea7-b9108e8ec956' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64118b24-ba20-4c77-8ea7-b9108e8ec956' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b71fd863-be02-48b3-9f67-48804c4f99a7' class='xr-var-data-in' type='checkbox'><label for='data-b71fd863-be02-48b3-9f67-48804c4f99a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[64094208 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9159305e-15d8-4c68-bde9-86b8e89acdc6' class='xr-section-summary-in' type='checkbox'  ><label for='section-9159305e-15d8-4c68-bde9-86b8e89acdc6' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2012-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing time dim to datetime64[ns] dtype\n",
    "\n",
    "datetimeindex = data.indexes['time'].to_datetimeindex()\n",
    "data['time']=datetimeindex\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       "  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",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 131, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2008-11-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-01-01 00:00:00 ... 2008-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f33077db-05ad-4240-9b06-0bd7ff575024' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f33077db-05ad-4240-9b06-0bd7ff575024' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 131</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09499e18-3ce9-4d7c-860b-08b90730a804' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09499e18-3ce9-4d7c-860b-08b90730a804' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-01-16T12:00:00 ... 2008-11-16</div><input id='attrs-0a3a587f-3447-4561-8562-d1035a25d690' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a3a587f-3447-4561-8562-d1035a25d690' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0a36483-819a-4a94-8616-004c37506de7' class='xr-var-data-in' type='checkbox'><label for='data-b0a36483-819a-4a94-8616-004c37506de7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-01-16T12:00:00.000000000&#x27;, &#x27;1998-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-03-16T12:00:00.000000000&#x27;, &#x27;1998-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-05-16T12:00:00.000000000&#x27;, &#x27;1998-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-07-16T12:00:00.000000000&#x27;, &#x27;1998-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-09-16T00:00:00.000000000&#x27;, &#x27;1998-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-11-16T00:00:00.000000000&#x27;, &#x27;1998-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-16T12:00:00.000000000&#x27;, &#x27;1999-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-03-16T12:00:00.000000000&#x27;, &#x27;1999-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-05-16T12:00:00.000000000&#x27;, &#x27;1999-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-07-16T12:00:00.000000000&#x27;, &#x27;1999-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-09-16T00:00:00.000000000&#x27;, &#x27;1999-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-11-16T00:00:00.000000000&#x27;, &#x27;1999-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-16T12:00:00.000000000&#x27;, &#x27;2000-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-16T12:00:00.000000000&#x27;, &#x27;2000-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-16T12:00:00.000000000&#x27;, &#x27;2000-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-16T12:00:00.000000000&#x27;, &#x27;2000-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-16T00:00:00.000000000&#x27;, &#x27;2000-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-16T00:00:00.000000000&#x27;, &#x27;2000-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-16T12:00:00.000000000&#x27;, &#x27;2001-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-03-16T12:00:00.000000000&#x27;, &#x27;2001-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-05-16T12:00:00.000000000&#x27;, &#x27;2001-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-07-16T12:00:00.000000000&#x27;, &#x27;2001-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-09-16T00:00:00.000000000&#x27;, &#x27;2001-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-11-16T00:00:00.000000000&#x27;, &#x27;2001-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-01-16T12:00:00.000000000&#x27;, &#x27;2002-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-03-16T12:00:00.000000000&#x27;, &#x27;2002-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-05-16T12:00:00.000000000&#x27;, &#x27;2002-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-16T12:00:00.000000000&#x27;, &#x27;2002-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-09-16T00:00:00.000000000&#x27;, &#x27;2002-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-11-16T00:00:00.000000000&#x27;, &#x27;2002-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T12:00:00.000000000&#x27;, &#x27;2003-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-03-16T12:00:00.000000000&#x27;, &#x27;2003-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-05-16T12:00:00.000000000&#x27;, &#x27;2003-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-07-16T12:00:00.000000000&#x27;, &#x27;2003-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-09-16T00:00:00.000000000&#x27;, &#x27;2003-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-11-16T00:00:00.000000000&#x27;, &#x27;2003-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-01-16T12:00:00.000000000&#x27;, &#x27;2004-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-03-16T12:00:00.000000000&#x27;, &#x27;2004-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-05-16T12:00:00.000000000&#x27;, &#x27;2004-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-16T12:00:00.000000000&#x27;, &#x27;2004-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-09-16T00:00:00.000000000&#x27;, &#x27;2004-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-11-16T00:00:00.000000000&#x27;, &#x27;2004-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-16T12:00:00.000000000&#x27;, &#x27;2005-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-03-16T12:00:00.000000000&#x27;, &#x27;2005-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-05-16T12:00:00.000000000&#x27;, &#x27;2005-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-07-16T12:00:00.000000000&#x27;, &#x27;2005-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-16T00:00:00.000000000&#x27;, &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-01-16T12:00:00.000000000&#x27;, &#x27;2006-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-03-16T12:00:00.000000000&#x27;, &#x27;2006-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-05-16T12:00:00.000000000&#x27;, &#x27;2006-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-07-16T12:00:00.000000000&#x27;, &#x27;2006-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-09-16T00:00:00.000000000&#x27;, &#x27;2006-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-11-16T00:00:00.000000000&#x27;, &#x27;2006-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-16T12:00:00.000000000&#x27;, &#x27;2007-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-03-16T12:00:00.000000000&#x27;, &#x27;2007-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-05-16T12:00:00.000000000&#x27;, &#x27;2007-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-07-16T12:00:00.000000000&#x27;, &#x27;2007-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-09-16T00:00:00.000000000&#x27;, &#x27;2007-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-11-16T00:00:00.000000000&#x27;, &#x27;2007-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-01-16T12:00:00.000000000&#x27;, &#x27;2008-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-03-16T12:00:00.000000000&#x27;, &#x27;2008-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-05-16T12:00:00.000000000&#x27;, &#x27;2008-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-07-16T12:00:00.000000000&#x27;, &#x27;2008-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-09-16T00:00:00.000000000&#x27;, &#x27;2008-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-11-16T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-41f26020-fc8e-4e0c-8aa5-7dfac1a1a39c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41f26020-fc8e-4e0c-8aa5-7dfac1a1a39c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20909cbf-a216-4893-b97f-31722db05f90' class='xr-var-data-in' type='checkbox'><label for='data-20909cbf-a216-4893-b97f-31722db05f90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-c116bb3a-da4e-4579-a951-0080bd1fc623' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c116bb3a-da4e-4579-a951-0080bd1fc623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8546b02-ad4e-4cd8-b367-a896bcb7dbbe' class='xr-var-data-in' type='checkbox'><label for='data-a8546b02-ad4e-4cd8-b367-a896bcb7dbbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3c26e1b-d703-48c8-9361-f4166a43e76a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f3c26e1b-d703-48c8-9361-f4166a43e76a' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 00:00:00 ... 2008-12-...</div><input id='attrs-a990279c-5772-41f1-bee3-27bb164d8634' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a990279c-5772-41f1-bee3-27bb164d8634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a74e467e-a0db-40c8-ba50-746b93086457' class='xr-var-data-in' type='checkbox'><label for='data-a74e467e-a0db-40c8-ba50-746b93086457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1998, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2008, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 12, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-b7d8660e-5143-42de-84a1-c21b6a3fadbd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7d8660e-5143-42de-84a1-c21b6a3fadbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5087ff1-f792-462a-8977-49c5531e7381' class='xr-var-data-in' type='checkbox'><label for='data-b5087ff1-f792-462a-8977-49c5531e7381' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-ae407afc-18de-4f49-bfe8-b72d6452ffbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae407afc-18de-4f49-bfe8-b72d6452ffbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-713266df-a460-4c3e-9dcb-17923dbf8c52' class='xr-var-data-in' type='checkbox'><label for='data-713266df-a460-4c3e-9dcb-17923dbf8c52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9fb5bce5-db71-4cd2-8d4d-7fa341b8ac15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fb5bce5-db71-4cd2-8d4d-7fa341b8ac15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-505f8fc8-cde7-475b-9edd-54c5f2f58540' class='xr-var-data-in' type='checkbox'><label for='data-505f8fc8-cde7-475b-9edd-54c5f2f58540' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[4292608 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73e41cee-246e-4f21-a296-f74816c4cdbc' class='xr-section-summary-in' type='checkbox'  ><label for='section-73e41cee-246e-4f21-a296-f74816c4cdbc' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 131, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2008-11-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-01-01 00:00:00 ... 2008-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2008-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       "  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",
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       "  width: auto;\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  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",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 44, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2008-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-aba8ad1d-f3c5-4806-b448-b72f39aebfd7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aba8ad1d-f3c5-4806-b448-b72f39aebfd7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fd24880e-c9bb-4ed8-9e96-b3fb6d8b1f00' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd24880e-c9bb-4ed8-9e96-b3fb6d8b1f00' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-16 ... 2008-09-16</div><input id='attrs-071dff2a-bff7-4ce7-bf7f-6f01717ba6b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-071dff2a-bff7-4ce7-bf7f-6f01717ba6b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95bff5c4-86ec-4017-a1dc-4f0d1aba9267' class='xr-var-data-in' type='checkbox'><label for='data-95bff5c4-86ec-4017-a1dc-4f0d1aba9267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-74c69865-78d5-4851-bce0-9d24c8f0be5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74c69865-78d5-4851-bce0-9d24c8f0be5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-200a4d29-3a31-4ea1-9b2f-7bb08d17b147' class='xr-var-data-in' type='checkbox'><label for='data-200a4d29-3a31-4ea1-9b2f-7bb08d17b147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.406 2.812 ... 357.2 358.6</div><input id='attrs-bc0a4be4-37d3-4b5f-9660-0cd0b12a7fab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc0a4be4-37d3-4b5f-9660-0cd0b12a7fab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09cd2a64-ecac-4a2c-9dc9-9833c55de699' class='xr-var-data-in' type='checkbox'><label for='data-09cd2a64-ecac-4a2c-9dc9-9833c55de699' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6642084-87bd-4b6b-90ca-be4b585ce4bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f6642084-87bd-4b6b-90ca-be4b585ce4bb' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-06-01 00:00:00 ... 2008-10-...</div><input id='attrs-d67a476c-4eef-4b87-b9e7-d7bb5843f33b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d67a476c-4eef-4b87-b9e7-d7bb5843f33b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de98e973-ace5-4339-9d58-5400e7804fd2' class='xr-var-data-in' type='checkbox'><label for='data-de98e973-ace5-4339-9d58-5400e7804fd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-cbeb256e-77e6-47f1-ab7e-3f4f13e81dcf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cbeb256e-77e6-47f1-ab7e-3f4f13e81dcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ccb7075-8dfd-421a-a2b5-8de3d79c27c1' class='xr-var-data-in' type='checkbox'><label for='data-3ccb7075-8dfd-421a-a2b5-8de3d79c27c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-3ea1463a-5c38-4da9-a032-b978ad2b9780' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ea1463a-5c38-4da9-a032-b978ad2b9780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53a5292a-6023-4d8f-9981-90961a06c7fd' class='xr-var-data-in' type='checkbox'><label for='data-53a5292a-6023-4d8f-9981-90961a06c7fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-608f60aa-b068-462d-986a-acc586ac291d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-608f60aa-b068-462d-986a-acc586ac291d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ad12528-c6bf-4c93-a310-78dcf219999d' class='xr-var-data-in' type='checkbox'><label for='data-2ad12528-c6bf-4c93-a310-78dcf219999d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[1441792 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e5e28cf-eaee-4d57-91f8-8b20110ec3cb' class='xr-section-summary-in' type='checkbox'  ><label for='section-0e5e28cf-eaee-4d57-91f8-8b20110ec3cb' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 44, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2008-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "27a29fca",
   "metadata": {},
   "outputs": [
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       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 44, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\n",
       "  * lon        (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2008-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.43 18.83 17.68 19.08 ... 28.33 27.18 28.58\n",
       "    lon_bnds   (lon, bnds) float64 85.42 86.83 85.67 87.08 ... 94.33 93.17 94.58\n",
       "    pr         (time, lat, lon) float64 0.00012 0.0001201 ... 0.0001431\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e063686d-941e-493a-99c1-55e34f469e3e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e063686d-941e-493a-99c1-55e34f469e3e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span>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-5a0dfe57-75f9-4b5d-9120-e941ce28a448' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a0dfe57-75f9-4b5d-9120-e941ce28a448' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-16 ... 2008-09-16</div><input id='attrs-0bd1910d-f7e2-4fad-b689-e62935553717' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bd1910d-f7e2-4fad-b689-e62935553717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38b8fb13-0d7e-4491-b944-c4dbce7ed48f' class='xr-var-data-in' type='checkbox'><label for='data-38b8fb13-0d7e-4491-b944-c4dbce7ed48f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;],\n",
       "      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-f77e3d29-30f9-419b-a2f1-11b84ab50164' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f77e3d29-30f9-419b-a2f1-11b84ab50164' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-363ae2e6-6433-4a91-a349-444e86c30e40' class='xr-var-data-in' type='checkbox'><label for='data-363ae2e6-6433-4a91-a349-444e86c30e40' title='Show/Hide data 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-f5bd3dd6-179c-45d8-b67c-2577aed3af93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5bd3dd6-179c-45d8-b67c-2577aed3af93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2d3d32f-46ce-4183-a7ef-4d5b212dcf98' class='xr-var-data-in' type='checkbox'><label for='data-a2d3d32f-46ce-4183-a7ef-4d5b212dcf98' title='Show/Hide data 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-1d4c61ef-55c5-492d-9a71-a02caad5dd0e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d4c61ef-55c5-492d-9a71-a02caad5dd0e' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-06-01 00:00:00 ... 2008-10-...</div><input id='attrs-a680b0c9-9c78-4fa9-a5b5-d501f9e63154' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a680b0c9-9c78-4fa9-a5b5-d501f9e63154' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3baf4182-153c-4ea5-bcfd-9fad9ab27705' class='xr-var-data-in' type='checkbox'><label for='data-3baf4182-153c-4ea5-bcfd-9fad9ab27705' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2006, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2007, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2007, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2008, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2008, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.43 18.83 17.68 ... 27.18 28.58</div><input id='attrs-a44674f3-e750-488c-9d5a-470be0697e9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a44674f3-e750-488c-9d5a-470be0697e9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-632e4295-8712-4770-9645-a3da7b40daa9' class='xr-var-data-in' type='checkbox'><label for='data-632e4295-8712-4770-9645-a3da7b40daa9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[17.42506467, 18.82586977],\n",
       "       [17.67507154, 19.07587671],\n",
       "       [17.9250784 , 19.32588365],\n",
       "       [18.17508526, 19.57589059],\n",
       "       [18.42509222, 19.82589764],\n",
       "       [18.6750992 , 20.0759047 ],\n",
       "       [18.92510617, 20.32591176],\n",
       "       [19.17511315, 20.57591882],\n",
       "       [19.42512012, 20.82592588],\n",
       "       [19.67512713, 21.07593298],\n",
       "       [19.92513423, 21.32594017],\n",
       "       [20.17514133, 21.57594736],\n",
       "       [20.42514843, 21.82595456],\n",
       "       [20.67515553, 22.07596175],\n",
       "       [20.92516263, 22.32596894],\n",
       "       [21.17516982, 22.57597623],\n",
       "       [21.42517705, 22.82598357],\n",
       "       [21.67518429, 23.07599091],\n",
       "       [21.92519153, 23.32599825],\n",
       "       [22.17519876, 23.57600558],\n",
       "       [22.42520601, 23.82601293],\n",
       "       [22.67521339, 24.07602043],\n",
       "       [22.92522077, 24.32602792],\n",
       "       [23.17522816, 24.57603542],\n",
       "       [23.42523554, 24.82604292],\n",
       "       [23.67524293, 25.07605041],\n",
       "       [23.92525039, 25.32605799],\n",
       "       [24.17525794, 25.57606566],\n",
       "       [24.42526548, 25.82607333],\n",
       "       [24.67527303, 26.076081  ],\n",
       "       [24.92528058, 26.32608867],\n",
       "       [25.17528813, 26.57609634],\n",
       "       [25.42529582, 26.82610416],\n",
       "       [25.67530355, 27.07611202],\n",
       "       [25.92531127, 27.32611988],\n",
       "       [26.175319  , 27.57612774],\n",
       "       [26.42532672, 27.8261356 ],\n",
       "       [26.6753345 , 28.0761435 ],\n",
       "       [26.92534242, 28.32615157],\n",
       "       [27.17535033, 28.57615963]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>85.42 86.83 85.67 ... 93.17 94.58</div><input id='attrs-7a565fc4-f0ed-44a8-bf66-2abbf703f897' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a565fc4-f0ed-44a8-bf66-2abbf703f897' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c57a66b-0875-4f2a-acdb-07edce03cb55' class='xr-var-data-in' type='checkbox'><label for='data-8c57a66b-0875-4f2a-acdb-07edce03cb55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[85.421875, 86.828125],\n",
       "       [85.671875, 87.078125],\n",
       "       [85.921875, 87.328125],\n",
       "       [86.171875, 87.578125],\n",
       "       [86.421875, 87.828125],\n",
       "       [86.671875, 88.078125],\n",
       "       [86.921875, 88.328125],\n",
       "       [87.171875, 88.578125],\n",
       "       [87.421875, 88.828125],\n",
       "       [87.671875, 89.078125],\n",
       "       [87.921875, 89.328125],\n",
       "       [88.171875, 89.578125],\n",
       "       [88.421875, 89.828125],\n",
       "       [88.671875, 90.078125],\n",
       "       [88.921875, 90.328125],\n",
       "       [89.171875, 90.578125],\n",
       "       [89.421875, 90.828125],\n",
       "       [89.671875, 91.078125],\n",
       "       [89.921875, 91.328125],\n",
       "       [90.171875, 91.578125],\n",
       "       [90.421875, 91.828125],\n",
       "       [90.671875, 92.078125],\n",
       "       [90.921875, 92.328125],\n",
       "       [91.171875, 92.578125],\n",
       "       [91.421875, 92.828125],\n",
       "       [91.671875, 93.078125],\n",
       "       [91.921875, 93.328125],\n",
       "       [92.171875, 93.578125],\n",
       "       [92.421875, 93.828125],\n",
       "       [92.671875, 94.078125],\n",
       "       [92.921875, 94.328125],\n",
       "       [93.171875, 94.578125]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.00012 0.0001201 ... 0.0001431</div><input id='attrs-d6f3f273-418b-4666-b07a-f2510f0bb9c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6f3f273-418b-4666-b07a-f2510f0bb9c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9a87d82-ca62-4539-ac1d-de9799d7db5a' class='xr-var-data-in' type='checkbox'><label for='data-a9a87d82-ca62-4539-ac1d-de9799d7db5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[1.19984201e-04, 1.20075147e-04, 1.20166092e-04, ...,\n",
       "         1.08764482e-04, 1.02758130e-04, 9.67517780e-05],\n",
       "        [1.25021730e-04, 1.25399831e-04, 1.25777931e-04, ...,\n",
       "         1.04646517e-04, 9.68640049e-05, 8.90814924e-05],\n",
       "        [1.30059260e-04, 1.30724515e-04, 1.31389771e-04, ...,\n",
       "         1.00528553e-04, 9.09698798e-05, 8.14112067e-05],\n",
       "        ...,\n",
       "        [3.99388179e-04, 3.91838321e-04, 3.84288462e-04, ...,\n",
       "         2.23509765e-04, 2.26483994e-04, 2.29458223e-04],\n",
       "        [3.51458952e-04, 3.43781015e-04, 3.36103078e-04, ...,\n",
       "         2.13655592e-04, 2.17741937e-04, 2.21828283e-04],\n",
       "        [3.03529725e-04, 2.95723710e-04, 2.87917695e-04, ...,\n",
       "         2.03801419e-04, 2.08999881e-04, 2.14198342e-04]],\n",
       "\n",
       "       [[2.54331927e-04, 2.63367298e-04, 2.72402668e-04, ...,\n",
       "         2.78746685e-04, 2.65075822e-04, 2.51404960e-04],\n",
       "        [2.51180464e-04, 2.61142246e-04, 2.71104027e-04, ...,\n",
       "         2.74038262e-04, 2.56773044e-04, 2.39507826e-04],\n",
       "        [2.48029001e-04, 2.58917194e-04, 2.69805386e-04, ...,\n",
       "         2.69329839e-04, 2.48470265e-04, 2.27610692e-04],\n",
       "...\n",
       "        [2.34131748e-04, 2.34265860e-04, 2.34399972e-04, ...,\n",
       "         1.28898130e-04, 1.32065147e-04, 1.35232163e-04],\n",
       "        [2.11163153e-04, 2.10551347e-04, 2.09939540e-04, ...,\n",
       "         1.27310911e-04, 1.29511147e-04, 1.31711383e-04],\n",
       "        [1.88194559e-04, 1.86836833e-04, 1.85479108e-04, ...,\n",
       "         1.25723692e-04, 1.26957147e-04, 1.28190602e-04]],\n",
       "\n",
       "       [[1.32623384e-04, 1.30496541e-04, 1.28369699e-04, ...,\n",
       "         1.18755200e-04, 1.21955320e-04, 1.25155441e-04],\n",
       "        [1.33174731e-04, 1.30271946e-04, 1.27369161e-04, ...,\n",
       "         1.15133318e-04, 1.17011969e-04, 1.18890620e-04],\n",
       "        [1.33726079e-04, 1.30047351e-04, 1.26368623e-04, ...,\n",
       "         1.11511436e-04, 1.12068618e-04, 1.12625799e-04],\n",
       "        ...,\n",
       "        [2.47516048e-04, 2.49859865e-04, 2.52203683e-04, ...,\n",
       "         1.21052142e-04, 1.23529839e-04, 1.26007536e-04],\n",
       "        [2.15268877e-04, 2.17588845e-04, 2.19908813e-04, ...,\n",
       "         1.27451075e-04, 1.31009873e-04, 1.34568672e-04],\n",
       "        [1.83021705e-04, 1.85317824e-04, 1.87613943e-04, ...,\n",
       "         1.33850008e-04, 1.38489908e-04, 1.43129808e-04]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a92be404-9558-4fe5-badd-f7be78a825f6' class='xr-section-summary-in' type='checkbox'  ><label for='section-a92be404-9558-4fe5-badd-f7be78a825f6' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 44, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\n",
       "  * lon        (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2008-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.43 18.83 17.68 19.08 ... 28.33 27.18 28.58\n",
       "    lon_bnds   (lon, bnds) float64 85.42 86.83 85.67 87.08 ... 94.33 93.17 94.58\n",
       "    pr         (time, lat, lon) float64 0.00012 0.0001201 ... 0.0001431\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 17,
     "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": 18,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.00015584, 0.00015626, 0.00015669, ..., 0.00021332, 0.00020959,\n",
       "        0.00020586],\n",
       "       [0.00015786, 0.0001584 , 0.00015894, ..., 0.00021727, 0.00021108,\n",
       "        0.00020489],\n",
       "       [0.00015988, 0.00016054, 0.00016119, ..., 0.00022122, 0.00021257,\n",
       "        0.00020391],\n",
       "       ...,\n",
       "       [0.00024441, 0.00024807, 0.00025174, ..., 0.00019065, 0.00019468,\n",
       "        0.00019872],\n",
       "       [0.0002229 , 0.0002253 , 0.00022769, ..., 0.00018394, 0.00018814,\n",
       "        0.00019233],\n",
       "       [0.0002014 , 0.00020252, 0.00020363, ..., 0.00017723, 0.00018159,\n",
       "        0.00018594]])\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-88832faa-433f-4cf5-ba0b-61b93f1dc5ad' class='xr-array-in' type='checkbox' checked><label for='section-88832faa-433f-4cf5-ba0b-61b93f1dc5ad' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0001558 0.0001563 0.0001567 ... 0.0001772 0.0001816 0.0001859</span></div><div class='xr-array-data'><pre>array([[0.00015584, 0.00015626, 0.00015669, ..., 0.00021332, 0.00020959,\n",
       "        0.00020586],\n",
       "       [0.00015786, 0.0001584 , 0.00015894, ..., 0.00021727, 0.00021108,\n",
       "        0.00020489],\n",
       "       [0.00015988, 0.00016054, 0.00016119, ..., 0.00022122, 0.00021257,\n",
       "        0.00020391],\n",
       "       ...,\n",
       "       [0.00024441, 0.00024807, 0.00025174, ..., 0.00019065, 0.00019468,\n",
       "        0.00019872],\n",
       "       [0.0002229 , 0.0002253 , 0.00022769, ..., 0.00018394, 0.00018814,\n",
       "        0.00019233],\n",
       "       [0.0002014 , 0.00020252, 0.00020363, ..., 0.00017723, 0.00018159,\n",
       "        0.00018594]])</pre></div></div></li><li class='xr-section-item'><input id='section-ac59417f-7e8d-49ae-9885-b932ed6205fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac59417f-7e8d-49ae-9885-b932ed6205fa' 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-93214731-f017-4910-b8d7-cc52224b8585' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93214731-f017-4910-b8d7-cc52224b8585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b687788d-ea05-4a36-952f-e0105ac7552c' class='xr-var-data-in' type='checkbox'><label for='data-b687788d-ea05-4a36-952f-e0105ac7552c' title='Show/Hide data 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-3241b40f-7e16-413a-81c1-568fe027f2c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3241b40f-7e16-413a-81c1-568fe027f2c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77369bdf-de0c-4282-8fa5-e3469d13c8a7' class='xr-var-data-in' type='checkbox'><label for='data-77369bdf-de0c-4282-8fa5-e3469d13c8a7' title='Show/Hide data 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-138fdaa7-35b9-423a-bb7c-6bfe2249a755' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-138fdaa7-35b9-423a-bb7c-6bfe2249a755' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[0.00015584, 0.00015626, 0.00015669, ..., 0.00021332, 0.00020959,\n",
       "        0.00020586],\n",
       "       [0.00015786, 0.0001584 , 0.00015894, ..., 0.00021727, 0.00021108,\n",
       "        0.00020489],\n",
       "       [0.00015988, 0.00016054, 0.00016119, ..., 0.00022122, 0.00021257,\n",
       "        0.00020391],\n",
       "       ...,\n",
       "       [0.00024441, 0.00024807, 0.00025174, ..., 0.00019065, 0.00019468,\n",
       "        0.00019872],\n",
       "       [0.0002229 , 0.0002253 , 0.00022769, ..., 0.00018394, 0.00018814,\n",
       "        0.00019233],\n",
       "       [0.0002014 , 0.00020252, 0.00020363, ..., 0.00017723, 0.00018159,\n",
       "        0.00018594]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[13.46470309, 13.50127844, 13.53785378, ..., 18.43111881,\n",
       "        18.10875503, 17.78639125],\n",
       "       [13.63898369, 13.68575211, 13.73252052, ..., 18.77241062,\n",
       "        18.23735872, 17.70230683],\n",
       "       [13.81326429, 13.87022578, 13.92718727, ..., 19.11370242,\n",
       "        18.36596242, 17.61822241],\n",
       "       ...,\n",
       "       [21.11677562, 21.43351963, 21.75026364, ..., 16.47208302,\n",
       "        16.82064783, 17.16921263],\n",
       "       [19.25896326, 19.46554715, 19.67213103, ..., 15.89257423,\n",
       "        16.25498179, 16.61738935],\n",
       "       [17.40115091, 17.49757467, 17.59399842, ..., 15.31306543,\n",
       "        15.68931575, 16.06556606]])\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-3b0c19c7-c2a9-4f3f-b98e-2120c1bd6855' class='xr-array-in' type='checkbox' checked><label for='section-3b0c19c7-c2a9-4f3f-b98e-2120c1bd6855' 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>13.46 13.5 13.54 13.57 13.61 13.59 ... 14.56 14.94 15.31 15.69 16.07</span></div><div class='xr-array-data'><pre>array([[13.46470309, 13.50127844, 13.53785378, ..., 18.43111881,\n",
       "        18.10875503, 17.78639125],\n",
       "       [13.63898369, 13.68575211, 13.73252052, ..., 18.77241062,\n",
       "        18.23735872, 17.70230683],\n",
       "       [13.81326429, 13.87022578, 13.92718727, ..., 19.11370242,\n",
       "        18.36596242, 17.61822241],\n",
       "       ...,\n",
       "       [21.11677562, 21.43351963, 21.75026364, ..., 16.47208302,\n",
       "        16.82064783, 17.16921263],\n",
       "       [19.25896326, 19.46554715, 19.67213103, ..., 15.89257423,\n",
       "        16.25498179, 16.61738935],\n",
       "       [17.40115091, 17.49757467, 17.59399842, ..., 15.31306543,\n",
       "        15.68931575, 16.06556606]])</pre></div></div></li><li class='xr-section-item'><input id='section-a4afb650-3ec5-447b-930f-29debbd7fa40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a4afb650-3ec5-447b-930f-29debbd7fa40' 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-d4a11947-bfda-4c83-9b69-9a3e7faa7138' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4a11947-bfda-4c83-9b69-9a3e7faa7138' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6670c04e-5adf-48e1-8fcb-59046908a8f8' class='xr-var-data-in' type='checkbox'><label for='data-6670c04e-5adf-48e1-8fcb-59046908a8f8' title='Show/Hide data 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-c9a0176a-b496-4bbe-a78f-67d892a3aeb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9a0176a-b496-4bbe-a78f-67d892a3aeb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d0672e1-a57e-4f1f-9613-89ebe7388ffe' class='xr-var-data-in' type='checkbox'><label for='data-5d0672e1-a57e-4f1f-9613-89ebe7388ffe' title='Show/Hide data 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-342d43e8-be17-4464-93a8-f7ebb4ae73df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-342d43e8-be17-4464-93a8-f7ebb4ae73df' 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([[13.46470309, 13.50127844, 13.53785378, ..., 18.43111881,\n",
       "        18.10875503, 17.78639125],\n",
       "       [13.63898369, 13.68575211, 13.73252052, ..., 18.77241062,\n",
       "        18.23735872, 17.70230683],\n",
       "       [13.81326429, 13.87022578, 13.92718727, ..., 19.11370242,\n",
       "        18.36596242, 17.61822241],\n",
       "       ...,\n",
       "       [21.11677562, 21.43351963, 21.75026364, ..., 16.47208302,\n",
       "        16.82064783, 17.16921263],\n",
       "       [19.25896326, 19.46554715, 19.67213103, ..., 15.89257423,\n",
       "        16.25498179, 16.61738935],\n",
       "       [17.40115091, 17.49757467, 17.59399842, ..., 15.31306543,\n",
       "        15.68931575, 16.06556606]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "miroc = jjas_mean*86400\n",
    "miroc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
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       "  padding: 0;\n",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "  white-space: pre-wrap;\n",
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       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[ 3.58392798,  3.51075279,  3.33813284, ..., -3.25397602,\n",
       "        -2.53601226,  2.68930595],\n",
       "       [ 4.01502829,  3.76967185,  3.62936614, ..., -0.83643289,\n",
       "        -1.99519803,  1.83111521],\n",
       "       [ 3.97934544,  3.67736987,  3.53472713, ...,  1.13883395,\n",
       "         3.5494149 ,  2.73575277],\n",
       "       ...,\n",
       "       [13.78936251, 14.51753072, 15.12832366, ...,  8.8284318 ,\n",
       "         8.79432168,  7.86771152],\n",
       "       [11.62470204, 12.51222808, 13.58272711, ...,  8.70006233,\n",
       "         8.89741039,  8.72704102],\n",
       "       [10.57966325, 11.53537321, 12.73673207, ...,  7.99469152,\n",
       "         7.91793041,  8.48168466]])\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-cbdc4786-d361-49d3-a689-cbe82b1ff0fc' class='xr-array-in' type='checkbox' checked><label for='section-cbdc4786-d361-49d3-a689-cbe82b1ff0fc' 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>3.584 3.511 3.338 3.107 2.874 2.919 ... 8.685 8.169 7.995 7.918 8.482</span></div><div class='xr-array-data'><pre>array([[ 3.58392798,  3.51075279,  3.33813284, ..., -3.25397602,\n",
       "        -2.53601226,  2.68930595],\n",
       "       [ 4.01502829,  3.76967185,  3.62936614, ..., -0.83643289,\n",
       "        -1.99519803,  1.83111521],\n",
       "       [ 3.97934544,  3.67736987,  3.53472713, ...,  1.13883395,\n",
       "         3.5494149 ,  2.73575277],\n",
       "       ...,\n",
       "       [13.78936251, 14.51753072, 15.12832366, ...,  8.8284318 ,\n",
       "         8.79432168,  7.86771152],\n",
       "       [11.62470204, 12.51222808, 13.58272711, ...,  8.70006233,\n",
       "         8.89741039,  8.72704102],\n",
       "       [10.57966325, 11.53537321, 12.73673207, ...,  7.99469152,\n",
       "         7.91793041,  8.48168466]])</pre></div></div></li><li class='xr-section-item'><input id='section-f8c37d20-6f54-4a64-8bc0-d5b989d52d12' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f8c37d20-6f54-4a64-8bc0-d5b989d52d12' 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-235bdca8-942e-4e39-a61e-fa1ac52207a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-235bdca8-942e-4e39-a61e-fa1ac52207a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa9b6d90-6d93-4ac9-ba05-d00f5ff3d589' class='xr-var-data-in' type='checkbox'><label for='data-fa9b6d90-6d93-4ac9-ba05-d00f5ff3d589' title='Show/Hide data 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-741bfd09-c00c-48d1-8968-db173c18478c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-741bfd09-c00c-48d1-8968-db173c18478c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ce5864e-381f-4369-87fa-795578781314' class='xr-var-data-in' type='checkbox'><label for='data-0ce5864e-381f-4369-87fa-795578781314' title='Show/Hide data 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-281c886b-0250-4c94-abec-b7d4b4b253f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-281c886b-0250-4c94-abec-b7d4b4b253f9' 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([[ 3.58392798,  3.51075279,  3.33813284, ..., -3.25397602,\n",
       "        -2.53601226,  2.68930595],\n",
       "       [ 4.01502829,  3.76967185,  3.62936614, ..., -0.83643289,\n",
       "        -1.99519803,  1.83111521],\n",
       "       [ 3.97934544,  3.67736987,  3.53472713, ...,  1.13883395,\n",
       "         3.5494149 ,  2.73575277],\n",
       "       ...,\n",
       "       [13.78936251, 14.51753072, 15.12832366, ...,  8.8284318 ,\n",
       "         8.79432168,  7.86771152],\n",
       "       [11.62470204, 12.51222808, 13.58272711, ...,  8.70006233,\n",
       "         8.89741039,  8.72704102],\n",
       "       [10.57966325, 11.53537321, 12.73673207, ...,  7.99469152,\n",
       "         7.91793041,  8.48168466]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = miroc - trmm\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[ 36.27172905,  35.14082163,  32.72768799, ..., -15.00558814,\n",
       "        -12.28404383,  17.81341163],\n",
       "       [ 41.71910742,  38.01574566,  35.9230989 , ...,  -4.26559011,\n",
       "         -9.86132425,  11.53735178],\n",
       "       [ 40.46551026,  36.07791478,  34.01241935, ...,   6.33570117,\n",
       "         23.95574875,  18.38238434],\n",
       "       ...,\n",
       "       [188.1886869 , 209.91257943, 228.45757733, ..., 115.50019139,\n",
       "        109.56845667,  84.58539559],\n",
       "       [152.27016354, 179.94612298, 223.05511824, ..., 120.95999919,\n",
       "        120.92863133, 110.60400208],\n",
       "       [155.09319617, 193.47506609, 262.22016958, ..., 109.24136449,\n",
       "        101.88570071, 111.83830827]])\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-d9fd5669-051b-4090-982b-bc15157c1c6e' class='xr-array-in' type='checkbox' checked><label for='section-d9fd5669-051b-4090-982b-bc15157c1c6e' 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>36.27 35.14 32.73 29.68 26.77 27.37 ... 147.8 120.7 109.2 101.9 111.8</span></div><div class='xr-array-data'><pre>array([[ 36.27172905,  35.14082163,  32.72768799, ..., -15.00558814,\n",
       "        -12.28404383,  17.81341163],\n",
       "       [ 41.71910742,  38.01574566,  35.9230989 , ...,  -4.26559011,\n",
       "         -9.86132425,  11.53735178],\n",
       "       [ 40.46551026,  36.07791478,  34.01241935, ...,   6.33570117,\n",
       "         23.95574875,  18.38238434],\n",
       "       ...,\n",
       "       [188.1886869 , 209.91257943, 228.45757733, ..., 115.50019139,\n",
       "        109.56845667,  84.58539559],\n",
       "       [152.27016354, 179.94612298, 223.05511824, ..., 120.95999919,\n",
       "        120.92863133, 110.60400208],\n",
       "       [155.09319617, 193.47506609, 262.22016958, ..., 109.24136449,\n",
       "        101.88570071, 111.83830827]])</pre></div></div></li><li class='xr-section-item'><input id='section-92f61f4f-9d6a-411d-9d31-a41619be3f7b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-92f61f4f-9d6a-411d-9d31-a41619be3f7b' 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-7bbee9ec-8ffa-4215-8833-2524feee6986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bbee9ec-8ffa-4215-8833-2524feee6986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-742776aa-4bf8-40dc-9581-9ce8faade5a7' class='xr-var-data-in' type='checkbox'><label for='data-742776aa-4bf8-40dc-9581-9ce8faade5a7' title='Show/Hide data 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-098a9d0c-0fc7-41b2-a6b9-89649f0183c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-098a9d0c-0fc7-41b2-a6b9-89649f0183c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26de0f79-cab1-456c-b99a-442339158ac7' class='xr-var-data-in' type='checkbox'><label for='data-26de0f79-cab1-456c-b99a-442339158ac7' title='Show/Hide data 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-413d8eb0-de20-4fd2-baa2-28ed6f74d89d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-413d8eb0-de20-4fd2-baa2-28ed6f74d89d' 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([[ 36.27172905,  35.14082163,  32.72768799, ..., -15.00558814,\n",
       "        -12.28404383,  17.81341163],\n",
       "       [ 41.71910742,  38.01574566,  35.9230989 , ...,  -4.26559011,\n",
       "         -9.86132425,  11.53735178],\n",
       "       [ 40.46551026,  36.07791478,  34.01241935, ...,   6.33570117,\n",
       "         23.95574875,  18.38238434],\n",
       "       ...,\n",
       "       [188.1886869 , 209.91257943, 228.45757733, ..., 115.50019139,\n",
       "        109.56845667,  84.58539559],\n",
       "       [152.27016354, 179.94612298, 223.05511824, ..., 120.95999919,\n",
       "        120.92863133, 110.60400208],\n",
       "       [155.09319617, 193.47506609, 262.22016958, ..., 109.24136449,\n",
       "        101.88570071, 111.83830827]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((miroc - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "                levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, ticks=np.arange(-15,15+3,3),orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(GCM MIROC5-TRMM)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(gcm miroc-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['lon'], bias_percentage['lat'],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25),orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(GCM MIROC5-TRMM)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(gcm miroc5-trmm).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "220503a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \\nBrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\\nGreens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \\nPastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\\nRdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \\nSpectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\\nautumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \\ncopper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\\ngist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\\ngnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\\nmagma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \\nseismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \\nter'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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