bd_gcm_pr_ensemble_avg.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\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1872, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-8afd10c3-8db8-40d6-bc76-e4baf6730731' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8afd10c3-8db8-40d6-bc76-e4baf6730731' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-675e4963-858e-4094-a8c8-1beee1898b07' class='xr-section-summary-in' type='checkbox'  checked><label for='section-675e4963-858e-4094-a8c8-1beee1898b07' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-e371fe22-a0f7-4d7d-bfff-37ddd2e6fbda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e371fe22-a0f7-4d7d-bfff-37ddd2e6fbda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26ba448a-4e1e-48e6-956d-551cce01c730' class='xr-var-data-in' type='checkbox'><label for='data-26ba448a-4e1e-48e6-956d-551cce01c730' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2005, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-eae7a058-a32c-4fe1-9e19-9696561c0f50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eae7a058-a32c-4fe1-9e19-9696561c0f50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29d39983-1334-494a-a217-5c3339233a9a' class='xr-var-data-in' type='checkbox'><label for='data-29d39983-1334-494a-a217-5c3339233a9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-8063c40b-18ba-4799-81bf-cd568a9796f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8063c40b-18ba-4799-81bf-cd568a9796f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8df0ed49-86f2-4c3b-b956-1887d526767f' class='xr-var-data-in' type='checkbox'><label for='data-8df0ed49-86f2-4c3b-b956-1887d526767f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c94914ce-e1da-461d-b823-d9011edae303' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c94914ce-e1da-461d-b823-d9011edae303' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5b265004-9f5b-4a3a-8c3c-c85c672b3424' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b265004-9f5b-4a3a-8c3c-c85c672b3424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4221cc82-b6f8-420d-8abc-be84266c6b01' class='xr-var-data-in' type='checkbox'><label for='data-4221cc82-b6f8-420d-8abc-be84266c6b01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aab05afa-fa3e-468c-883c-1d0e861a333f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aab05afa-fa3e-468c-883c-1d0e861a333f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-569afff1-1ab0-4030-88da-85a1563ec4e2' class='xr-var-data-in' type='checkbox'><label for='data-569afff1-1ab0-4030-88da-85a1563ec4e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>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>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>[2396160 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e63ae79-8f31-44af-9710-ae7ca751b8a9' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e63ae79-8f31-44af-9710-ae7ca751b8a9' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</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>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>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>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><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1872, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/GCM/ensemble-average/gcmensemble.nc')\n",
    "\n",
    "data"
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  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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_2730/3137857967.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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       "\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",
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       "\n",
       ".xr-has-index {\n",
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       "}\n",
       "\n",
       ".xr-var-list,\n",
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       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
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       "\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",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "  float: left;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\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",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1872, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-1579cb1a-0881-48a4-96c5-04a8f1a75c3b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1579cb1a-0881-48a4-96c5-04a8f1a75c3b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4b0b1d20-f21a-4900-9028-d9a77a82d3ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4b0b1d20-f21a-4900-9028-d9a77a82d3ba' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-4cfd0341-2ee5-4ae1-8d30-bae66702093b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4cfd0341-2ee5-4ae1-8d30-bae66702093b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49fd9c65-1074-407f-94da-e2247c63cfe0' class='xr-var-data-in' type='checkbox'><label for='data-49fd9c65-1074-407f-94da-e2247c63cfe0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-98a552d8-d384-4dcf-9600-b5d8d5d21a75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98a552d8-d384-4dcf-9600-b5d8d5d21a75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fc665df-5ea8-4f1f-8bf8-ad07b9ad81c9' class='xr-var-data-in' type='checkbox'><label for='data-0fc665df-5ea8-4f1f-8bf8-ad07b9ad81c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-d6133ef0-2ade-4c33-b2a3-4f31bca86109' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6133ef0-2ade-4c33-b2a3-4f31bca86109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77123901-7751-46ee-af3d-7a864a792559' class='xr-var-data-in' type='checkbox'><label for='data-77123901-7751-46ee-af3d-7a864a792559' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4104e5fa-01f4-4c4f-afda-4937a42992ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4104e5fa-01f4-4c4f-afda-4937a42992ec' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-e70d3006-7e81-48af-bd85-fdb8f0143f26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e70d3006-7e81-48af-bd85-fdb8f0143f26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2973f02-8031-437b-a66d-fa1464096b02' class='xr-var-data-in' type='checkbox'><label for='data-f2973f02-8031-437b-a66d-fa1464096b02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8046db68-bf7c-49e9-a76f-1ea6031aafee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8046db68-bf7c-49e9-a76f-1ea6031aafee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22f053b4-d997-45ab-b2b7-7d369fb01855' class='xr-var-data-in' type='checkbox'><label for='data-22f053b4-d997-45ab-b2b7-7d369fb01855' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>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>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>[2396160 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25e3ae78-2c4a-49af-8b19-6f17529a3e18' class='xr-section-summary-in' type='checkbox'  ><label for='section-25e3ae78-2c4a-49af-8b19-6f17529a3e18' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</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>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>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>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><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1872, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://..."
      ]
     },
     "execution_count": 5,
     "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\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 311, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2005-11-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-ea5e55a0-a0bd-4c47-aa80-3ebd09f6b1d8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ea5e55a0-a0bd-4c47-aa80-3ebd09f6b1d8' 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>: 311</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-af01f0df-2c47-4803-bb25-e04eac82b20a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af01f0df-2c47-4803-bb25-e04eac82b20a' 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'>1980-01-16T12:00:00 ... 2005-11-16</div><input id='attrs-3bf7e779-dfc4-4e07-86d9-472986f42538' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bf7e779-dfc4-4e07-86d9-472986f42538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6dc8108-3b8e-456c-a6c6-426cdb267338' class='xr-var-data-in' type='checkbox'><label for='data-f6dc8108-3b8e-456c-a6c6-426cdb267338' title='Show/Hide data 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;1980-01-16T12:00:00.000000000&#x27;, &#x27;1980-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1980-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-16T12:00:00.000000000&#x27;, &#x27;2005-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-7c967cbf-5eea-4ce6-8b52-b3519b177e84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c967cbf-5eea-4ce6-8b52-b3519b177e84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29190d8f-16d4-4e48-b066-d7302d1c5fbf' class='xr-var-data-in' type='checkbox'><label for='data-29190d8f-16d4-4e48-b066-d7302d1c5fbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-4d00a832-6ac5-40ff-ae85-52963894c27c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d00a832-6ac5-40ff-ae85-52963894c27c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77f05443-1f05-4233-9214-8b8befe7a68d' class='xr-var-data-in' type='checkbox'><label for='data-77f05443-1f05-4233-9214-8b8befe7a68d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4748265e-acad-4d86-ba47-e23917aea8cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4748265e-acad-4d86-ba47-e23917aea8cd' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-01-01 00:00:00 ... 2005-12-...</div><input id='attrs-da6a9c83-b4e6-44d9-91c0-eeba37bc100f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da6a9c83-b4e6-44d9-91c0-eeba37bc100f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e0ea0ae-2b4c-4abe-aa3b-396cd2a0c85c' class='xr-var-data-in' type='checkbox'><label for='data-8e0ea0ae-2b4c-4abe-aa3b-396cd2a0c85c' title='Show/Hide data 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(1980, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-068e15bb-4379-4e91-b782-e3d7c24d4b60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-068e15bb-4379-4e91-b782-e3d7c24d4b60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7f2bdd4-c899-41c4-8146-ef7b7e2b0e94' class='xr-var-data-in' type='checkbox'><label for='data-f7f2bdd4-c899-41c4-8146-ef7b7e2b0e94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>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>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>[398080 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e36bb4f0-2ddc-4224-a82e-c9cc0aa8ab8d' class='xr-section-summary-in' type='checkbox'  ><label for='section-e36bb4f0-2ddc-4224-a82e-c9cc0aa8ab8d' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</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>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>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>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><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 311, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2005-11-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1980-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  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: 104, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-e1b57830-abfa-445b-b72c-c399b57f6366' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1b57830-abfa-445b-b72c-c399b57f6366' 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>: 104</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>longitude</span>: 32</li><li><span class='xr-has-index'>latitude</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b3adec5b-97c6-470d-9b18-32bc66bf88c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3adec5b-97c6-470d-9b18-32bc66bf88c9' 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'>1980-06-16 ... 2005-09-16</div><input id='attrs-3fe6128d-67c5-4235-bb30-a0360e1e35ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3fe6128d-67c5-4235-bb30-a0360e1e35ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92f19d05-98ff-43cb-9925-066833004b2e' class='xr-var-data-in' type='checkbox'><label for='data-92f19d05-98ff-43cb-9925-066833004b2e' title='Show/Hide data 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;1980-06-16T00:00:00.000000000&#x27;, &#x27;1980-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1980-08-16T12:00:00.000000000&#x27;, &#x27;1980-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-d6d00362-fa3b-4e2c-9c34-9c76994619df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6d00362-fa3b-4e2c-9c34-9c76994619df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13716245-88f0-4569-b37f-067793026565' class='xr-var-data-in' type='checkbox'><label for='data-13716245-88f0-4569-b37f-067793026565' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-4301f774-eb34-49ba-9dbd-94080261c148' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4301f774-eb34-49ba-9dbd-94080261c148' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebe17bb9-a332-499f-9852-ac0b899fee22' class='xr-var-data-in' type='checkbox'><label for='data-ebe17bb9-a332-499f-9852-ac0b899fee22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59dc75b6-9569-4a64-9dc3-018a6951804e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-59dc75b6-9569-4a64-9dc3-018a6951804e' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-9849c5bc-9d60-4a89-9238-f548ed39ca6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9849c5bc-9d60-4a89-9238-f548ed39ca6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-766d9bdf-3b94-48d8-9481-1adbfe3fad79' class='xr-var-data-in' type='checkbox'><label for='data-766d9bdf-3b94-48d8-9481-1adbfe3fad79' title='Show/Hide data 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(1980, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1980, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1980, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5df4fc30-79a8-423e-b0cc-5c7408841cac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5df4fc30-79a8-423e-b0cc-5c7408841cac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2af0aa6a-e8cc-41cd-a440-e03c1e055028' class='xr-var-data-in' type='checkbox'><label for='data-2af0aa6a-e8cc-41cd-a440-e03c1e055028' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>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>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>[133120 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd660fb3-ae6a-4287-8bcb-0ea70fa08b7e' class='xr-section-summary-in' type='checkbox'  ><label for='section-fd660fb3-ae6a-4287-8bcb-0ea70fa08b7e' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</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>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>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>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><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 104, bnds: 2, longitude: 32, latitude: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1980-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, latitude, longitude) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcm...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\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\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://..."
      ]
     },
     "execution_count": 7,
     "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": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"x\"][379:429].values\n",
    "#data[\"pr\"][\"y\"][237:337].values\n",
    "#data[\"pr\"][\"time\"].values\n",
    "#jjas_data[\"pr\"][\"lat\"][:].values\n",
    "\n",
    "#jjas_data[\"pr\"][\"lon\"][:].values\n",
    "\n",
    "\n",
    "#data[\"pr\"][\"x\"].values\n",
    "\n",
    "#data.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data[\"pr\"][\"y\"][287:337].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(4125000.,5350000.),y=slice(2975000.,4200000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[0.00011812, 0.00011792, 0.00011586, ..., 0.0001492 , 0.00015495,\n",
       "        0.00015799],\n",
       "       [0.00012111, 0.00012091, 0.00012025, ..., 0.00016557, 0.00014553,\n",
       "        0.00014857],\n",
       "       [0.00012111, 0.00012091, 0.00012025, ..., 0.00016557, 0.00014553,\n",
       "        0.00014857],\n",
       "       ...,\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ],\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ],\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 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'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-daeaccdc-f25a-4073-8d4f-82d2f03196b4' class='xr-array-in' type='checkbox' checked><label for='section-daeaccdc-f25a-4073-8d4f-82d2f03196b4' 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>0.0001181 0.0001179 0.0001159 ... 0.0002216 0.0002294 0.0002042</span></div><div class='xr-array-data'><pre>array([[0.00011812, 0.00011792, 0.00011586, ..., 0.0001492 , 0.00015495,\n",
       "        0.00015799],\n",
       "       [0.00012111, 0.00012091, 0.00012025, ..., 0.00016557, 0.00014553,\n",
       "        0.00014857],\n",
       "       [0.00012111, 0.00012091, 0.00012025, ..., 0.00016557, 0.00014553,\n",
       "        0.00014857],\n",
       "       ...,\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ],\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ],\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-71f74d9b-455e-47d8-89a2-8cd9b0541fb8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71f74d9b-455e-47d8-89a2-8cd9b0541fb8' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-546576d6-3ce5-4755-95f2-63c9bb2553ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-546576d6-3ce5-4755-95f2-63c9bb2553ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e19d9dbe-6170-4168-92a4-7e16e987c95f' class='xr-var-data-in' type='checkbox'><label for='data-e19d9dbe-6170-4168-92a4-7e16e987c95f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-08801be4-0948-4679-bd89-4d52111a7fa8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08801be4-0948-4679-bd89-4d52111a7fa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bd34675-2aa8-40ef-bada-4da8e0f2bd7a' class='xr-var-data-in' type='checkbox'><label for='data-5bd34675-2aa8-40ef-bada-4da8e0f2bd7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26f65fe7-cab6-40a0-8093-b194e1b424bd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26f65fe7-cab6-40a0-8093-b194e1b424bd' 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' (latitude: 40, longitude: 32)>\n",
       "array([[0.00011812, 0.00011792, 0.00011586, ..., 0.0001492 , 0.00015495,\n",
       "        0.00015799],\n",
       "       [0.00012111, 0.00012091, 0.00012025, ..., 0.00016557, 0.00014553,\n",
       "        0.00014857],\n",
       "       [0.00012111, 0.00012091, 0.00012025, ..., 0.00016557, 0.00014553,\n",
       "        0.00014857],\n",
       "       ...,\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ],\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ],\n",
       "       [0.00024774, 0.00027801, 0.00028415, ..., 0.00022159, 0.00022943,\n",
       "        0.0002042 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 8,
     "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": "markdown",
   "metadata": {},
   "source": [
    "The pr is given in kg m $^{-2}$  s $^{-1}$ so we have to convert it into mm/day.\n",
    "\n",
    "The formula is 1 kgm$^{-2}$ s$^{-1}$  = 86400 mm/day. \n",
    "\n",
    "so we have to divide pr value by 86400\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[10.20538935, 10.18844931, 10.01055788, ..., 12.89082603,\n",
       "        13.38806357, 13.65072811],\n",
       "       [10.463759  , 10.44681142, 10.38918374, ..., 14.30555382,\n",
       "        12.5736041 , 12.83626989],\n",
       "       [10.463759  , 10.44681142, 10.38918374, ..., 14.30555382,\n",
       "        12.5736041 , 12.83626989],\n",
       "       ...,\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413],\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413],\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 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'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5fa3026b-8028-4b9b-84b7-71fa3cb28e37' class='xr-array-in' type='checkbox' checked><label for='section-5fa3026b-8028-4b9b-84b7-71fa3cb28e37' 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>10.21 10.19 10.01 10.01 10.01 10.73 ... 19.15 19.15 19.15 19.82 17.64</span></div><div class='xr-array-data'><pre>array([[10.20538935, 10.18844931, 10.01055788, ..., 12.89082603,\n",
       "        13.38806357, 13.65072811],\n",
       "       [10.463759  , 10.44681142, 10.38918374, ..., 14.30555382,\n",
       "        12.5736041 , 12.83626989],\n",
       "       [10.463759  , 10.44681142, 10.38918374, ..., 14.30555382,\n",
       "        12.5736041 , 12.83626989],\n",
       "       ...,\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413],\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413],\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413]])</pre></div></div></li><li class='xr-section-item'><input id='section-51662a54-19bb-4498-b41c-da2db3158de7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-51662a54-19bb-4498-b41c-da2db3158de7' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-fc4b4218-d33f-49b0-97d9-8a49d1aff702' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc4b4218-d33f-49b0-97d9-8a49d1aff702' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d4172d8-79fc-4745-bcf8-5c442f5b174a' class='xr-var-data-in' type='checkbox'><label for='data-1d4172d8-79fc-4745-bcf8-5c442f5b174a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-e6242e6f-1bce-4306-8c24-a59c73275cbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6242e6f-1bce-4306-8c24-a59c73275cbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e63e9cf-a4ad-4f6b-a5a2-ef32ea494b68' class='xr-var-data-in' type='checkbox'><label for='data-4e63e9cf-a4ad-4f6b-a5a2-ef32ea494b68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52124db5-5d96-4245-9d3b-4193cf8c0122' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52124db5-5d96-4245-9d3b-4193cf8c0122' 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' (latitude: 40, longitude: 32)>\n",
       "array([[10.20538935, 10.18844931, 10.01055788, ..., 12.89082603,\n",
       "        13.38806357, 13.65072811],\n",
       "       [10.463759  , 10.44681142, 10.38918374, ..., 14.30555382,\n",
       "        12.5736041 , 12.83626989],\n",
       "       [10.463759  , 10.44681142, 10.38918374, ..., 14.30555382,\n",
       "        12.5736041 , 12.83626989],\n",
       "       ...,\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413],\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413],\n",
       "       [21.40456103, 24.01976762, 24.55015602, ..., 19.14544911,\n",
       "        19.82285064, 17.64319413]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_mm = jjas_mean*86400\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting with cartopy jjas_pr_mean\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    " \n",
    "m1 = ax.contourf(pr_mm['longitude'][:], pr_mm['latitude'][:],pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',extend='both')\n",
    "\n",
    "\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",
    "\n",
    "\n",
    "plt.colorbar(m1, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'rain_rate mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    " \n",
    "\n",
    "plt.title('GCM(Ensemble avg) Mean jjas precip rate in mm/day', fontsize=15)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_gcm_ensemble-avg_jjas_mean.png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I will plot the annual precipitation rate in mm/day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[5.57004678e-05, 5.55621882e-05, 5.54526341e-05, ...,\n",
       "        6.63429018e-05, 6.65241314e-05, 6.72488532e-05],\n",
       "       [5.64175134e-05, 5.62792120e-05, 5.69537006e-05, ...,\n",
       "        7.27470615e-05, 6.36477198e-05, 6.43724270e-05],\n",
       "       [5.64175134e-05, 5.62792120e-05, 5.69537006e-05, ...,\n",
       "        7.27470615e-05, 6.36477198e-05, 6.43724270e-05],\n",
       "       ...,\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04],\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04],\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 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'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ce1047c7-e09b-4ca5-a05b-199cda78cc4e' class='xr-array-in' type='checkbox' checked><label for='section-ce1047c7-e09b-4ca5-a05b-199cda78cc4e' 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>5.57e-05 5.556e-05 5.545e-05 ... 0.0001164 0.0001191 0.0001145</span></div><div class='xr-array-data'><pre>array([[5.57004678e-05, 5.55621882e-05, 5.54526341e-05, ...,\n",
       "        6.63429018e-05, 6.65241314e-05, 6.72488532e-05],\n",
       "       [5.64175134e-05, 5.62792120e-05, 5.69537006e-05, ...,\n",
       "        7.27470615e-05, 6.36477198e-05, 6.43724270e-05],\n",
       "       [5.64175134e-05, 5.62792120e-05, 5.69537006e-05, ...,\n",
       "        7.27470615e-05, 6.36477198e-05, 6.43724270e-05],\n",
       "       ...,\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04],\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04],\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-8791d224-d9e4-4fb1-b9d2-b9d9460c472e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8791d224-d9e4-4fb1-b9d2-b9d9460c472e' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-5907639d-0466-4072-bf78-9af3b9723cd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5907639d-0466-4072-bf78-9af3b9723cd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d44dfa75-8d44-4826-8600-982bc711b59a' class='xr-var-data-in' type='checkbox'><label for='data-d44dfa75-8d44-4826-8600-982bc711b59a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-0ae65779-c53b-43f4-b7b4-e8373d9a0ca1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ae65779-c53b-43f4-b7b4-e8373d9a0ca1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08d6359-4fd5-4a6c-b744-c590161d60c8' class='xr-var-data-in' type='checkbox'><label for='data-a08d6359-4fd5-4a6c-b744-c590161d60c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-79f042bb-350a-4019-9473-f8186e323f82' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79f042bb-350a-4019-9473-f8186e323f82' 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' (latitude: 40, longitude: 32)>\n",
       "array([[5.57004678e-05, 5.55621882e-05, 5.54526341e-05, ...,\n",
       "        6.63429018e-05, 6.65241314e-05, 6.72488532e-05],\n",
       "       [5.64175134e-05, 5.62792120e-05, 5.69537006e-05, ...,\n",
       "        7.27470615e-05, 6.36477198e-05, 6.43724270e-05],\n",
       "       [5.64175134e-05, 5.62792120e-05, 5.69537006e-05, ...,\n",
       "        7.27470615e-05, 6.36477198e-05, 6.43724270e-05],\n",
       "       ...,\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04],\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04],\n",
       "       [1.00262820e-04, 1.12139060e-04, 1.17280659e-04, ...,\n",
       "        1.16379066e-04, 1.19087796e-04, 1.14544804e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.pr.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (latitude: 40, longitude: 32)&gt;\n",
       "array([[ 4.81252042,  4.80057306,  4.79110759, ...,  5.73202672,\n",
       "         5.74768495,  5.81030091],\n",
       "       [ 4.87447316,  4.86252392,  4.92079973, ...,  6.28534611,\n",
       "         5.49916299,  5.56177769],\n",
       "       [ 4.87447316,  4.86252392,  4.92079973, ...,  6.28534611,\n",
       "         5.49916299,  5.56177769],\n",
       "       ...,\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107],\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107],\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 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'>latitude</span>: 40</li><li><span class='xr-has-index'>longitude</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-824a0d91-c35a-475c-b899-9e7e37fe02c6' class='xr-array-in' type='checkbox' checked><label for='section-824a0d91-c35a-475c-b899-9e7e37fe02c6' 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>4.813 4.801 4.791 4.791 4.791 5.117 ... 10.06 10.06 10.06 10.29 9.897</span></div><div class='xr-array-data'><pre>array([[ 4.81252042,  4.80057306,  4.79110759, ...,  5.73202672,\n",
       "         5.74768495,  5.81030091],\n",
       "       [ 4.87447316,  4.86252392,  4.92079973, ...,  6.28534611,\n",
       "         5.49916299,  5.56177769],\n",
       "       [ 4.87447316,  4.86252392,  4.92079973, ...,  6.28534611,\n",
       "         5.49916299,  5.56177769],\n",
       "       ...,\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107],\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107],\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107]])</pre></div></div></li><li class='xr-section-item'><input id='section-6e352fe1-99af-4214-a59b-dc9f77bcf2a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e352fe1-99af-4214-a59b-dc9f77bcf2a7' 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'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-adc97adc-2199-4c40-854d-25d5356b0a9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adc97adc-2199-4c40-854d-25d5356b0a9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6dcc09d-8380-417f-9ab3-b5e165c57ca8' class='xr-var-data-in' type='checkbox'><label for='data-b6dcc09d-8380-417f-9ab3-b5e165c57ca8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-a80aef86-1975-41de-9736-d6d0f8f8f034' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a80aef86-1975-41de-9736-d6d0f8f8f034' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c7981ca-e859-4e14-9247-1febdb50a58c' class='xr-var-data-in' type='checkbox'><label for='data-9c7981ca-e859-4e14-9247-1febdb50a58c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e28a3839-fe99-4c0b-a9e9-9d261a731b6e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e28a3839-fe99-4c0b-a9e9-9d261a731b6e' 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' (latitude: 40, longitude: 32)>\n",
       "array([[ 4.81252042,  4.80057306,  4.79110759, ...,  5.73202672,\n",
       "         5.74768495,  5.81030091],\n",
       "       [ 4.87447316,  4.86252392,  4.92079973, ...,  6.28534611,\n",
       "         5.49916299,  5.56177769],\n",
       "       [ 4.87447316,  4.86252392,  4.92079973, ...,  6.28534611,\n",
       "         5.49916299,  5.56177769],\n",
       "       ...,\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107],\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107],\n",
       "       [ 8.66270761,  9.68881475, 10.13304892, ..., 10.05515128,\n",
       "        10.28918554,  9.89667107]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 86.12 86.38 86.62 86.88 ... 93.38 93.62 93.88\n",
       "  * latitude   (latitude) float32 18.12 18.38 18.62 18.88 ... 27.38 27.62 27.88"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting from kgm-2s-2 to mm/day\n",
    "\n",
    "annual_pr_mm = annual_mean*86400\n",
    "annual_pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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",
    "\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(annual_pr_mm['longitude'], annual_pr_mm['latitude'],annual_pr_mm,\n",
    "                 np.arange(1,35+1,5),transform = ccrs.PlateCarree(),cmap='YlGnBu',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, 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",
    "plt.title('GCM(Ensemble avg) Annual mean precip rate in mm/day',fontweight='bold', fontsize=15)\n",
    "\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_gcm_ensemble avg_annual_mean.png\")\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
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