bd_pr_miroc5.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": 2,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</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-dd749095-cc41-4c14-be7a-00b8ae65b54d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd749095-cc41-4c14-be7a-00b8ae65b54d' 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>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-20390556-c7c0-45a1-9b33-5dcd48388c38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20390556-c7c0-45a1-9b33-5dcd48388c38' class='xr-section-summary' >Coordinates: <span>(5)</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'>1970-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-8c8fc5f0-b1d0-4f80-850d-1c05062b8450' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c8fc5f0-b1d0-4f80-850d-1c05062b8450' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20560776-0d72-4c0e-b134-6f453d229f07' class='xr-var-data-in' type='checkbox'><label for='data-20560776-0d72-4c0e-b134-6f453d229f07' title='Show/Hide data 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(1970, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f69ede8-bae4-4794-98b9-2fc7676be1ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f69ede8-bae4-4794-98b9-2fc7676be1ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3187bd67-9927-4a54-be1a-e00e1acdadff' class='xr-var-data-in' type='checkbox'><label for='data-3187bd67-9927-4a54-be1a-e00e1acdadff' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a74142b2-ffca-4a85-be4a-0a9ae83cda90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a74142b2-ffca-4a85-be4a-0a9ae83cda90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd3ccb63-c962-40d6-ba4a-af1941834bfc' class='xr-var-data-in' type='checkbox'><label for='data-fd3ccb63-c962-40d6-ba4a-af1941834bfc' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-a1a1b2b7-3d0d-4704-ab01-7d56194be997' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1a1b2b7-3d0d-4704-ab01-7d56194be997' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5d9fc32-1c9d-45fe-ad69-bbde43404a1c' class='xr-var-data-in' type='checkbox'><label for='data-c5d9fc32-1c9d-45fe-ad69-bbde43404a1c' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-120e88b5-64bd-4c6a-b2b0-b64bd1dc00b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-120e88b5-64bd-4c6a-b2b0-b64bd1dc00b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72852fd5-d1e0-4c28-af73-12a85a0e9443' class='xr-var-data-in' type='checkbox'><label for='data-72852fd5-d1e0-4c28-af73-12a85a0e9443' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0af7ca36-4382-4015-a1e6-d89881aec9cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0af7ca36-4382-4015-a1e6-d89881aec9cb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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-7a5b3055-ab63-416f-959c-688d6d011da4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a5b3055-ab63-416f-959c-688d6d011da4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1a65900-de00-4761-9a15-b2cfed4d5a31' class='xr-var-data-in' type='checkbox'><label for='data-b1a65900-de00-4761-9a15-b2cfed4d5a31' title='Show/Hide data 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(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa8779d7-1cae-45a8-b78b-fc005bca512c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa8779d7-1cae-45a8-b78b-fc005bca512c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-001439dd-41d6-4a72-a608-a6a618e2eab6' class='xr-var-data-in' type='checkbox'><label for='data-001439dd-41d6-4a72-a608-a6a618e2eab6' title='Show/Hide data 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb8b7938-e91b-4766-bb8f-1a6f4470e028' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb8b7938-e91b-4766-bb8f-1a6f4470e028' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ff7894d-8bc7-4234-82c3-68ead14978bb' class='xr-var-data-in' type='checkbox'><label for='data-5ff7894d-8bc7-4234-82c3-68ead14978bb' title='Show/Hide data 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[62455536 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8e94ef2-0fca-4e54-8072-49c743c780df' class='xr-section-summary-in' type='checkbox'  ><label for='section-e8e94ef2-0fca-4e54-8072-49c743c780df' class='xr-section-summary' >Attributes: <span>(165)</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-1.7</dd><dt><span>history :</span></dt><dd>Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean 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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    crs        |S1 ...\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/MIROC5/miroc5_pr_197001-200512.nc')\n",
    "\n",
    "data"
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  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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_20002/3137857967.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",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</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-10e05402-f152-40e1-a80e-3a96fc388b97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10e05402-f152-40e1-a80e-3a96fc388b97' 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>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e2ff042d-327a-4eb8-8b34-ad0dc436fdb6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e2ff042d-327a-4eb8-8b34-ad0dc436fdb6' class='xr-section-summary' >Coordinates: <span>(5)</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'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-21064520-e792-4d57-a9fc-b90ea59c4ce3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21064520-e792-4d57-a9fc-b90ea59c4ce3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4b57d40-a2f1-4f12-aa32-c7c199f43ef0' class='xr-var-data-in' type='checkbox'><label for='data-f4b57d40-a2f1-4f12-aa32-c7c199f43ef0' title='Show/Hide data 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;1970-01-16T12:00:00.000000000&#x27;, &#x27;1970-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1970-03-16T12:00:00.000000000&#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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae74cf1e-6d89-41d9-b03d-3dca39f31254' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae74cf1e-6d89-41d9-b03d-3dca39f31254' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6a0fb0d-3d60-49e9-9ede-b36796102500' class='xr-var-data-in' type='checkbox'><label for='data-f6a0fb0d-3d60-49e9-9ede-b36796102500' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d87b5356-a5ff-43f3-97cf-6856e503a2e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d87b5356-a5ff-43f3-97cf-6856e503a2e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15829b9e-295c-4a30-bc35-f7e5f341a154' class='xr-var-data-in' type='checkbox'><label for='data-15829b9e-295c-4a30-bc35-f7e5f341a154' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-2c383d63-811b-46a5-b9b6-5942b552ef2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c383d63-811b-46a5-b9b6-5942b552ef2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c3db624-cfe9-4086-b32d-48c79bd54562' class='xr-var-data-in' type='checkbox'><label for='data-7c3db624-cfe9-4086-b32d-48c79bd54562' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-2c743a3d-e554-47ca-92c3-a6ebbb097cd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c743a3d-e554-47ca-92c3-a6ebbb097cd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e39b9ffc-3c61-420b-ab33-fcf3d4d5852f' class='xr-var-data-in' type='checkbox'><label for='data-e39b9ffc-3c61-420b-ab33-fcf3d4d5852f' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f400a373-c222-4ac6-bddf-67e90aac78ee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f400a373-c222-4ac6-bddf-67e90aac78ee' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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'>1970-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-de9977c5-05aa-419a-8c51-70c7880c6bb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de9977c5-05aa-419a-8c51-70c7880c6bb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ea1a9cb-a17f-48be-a438-cf0ef9c8d560' class='xr-var-data-in' type='checkbox'><label for='data-8ea1a9cb-a17f-48be-a438-cf0ef9c8d560' title='Show/Hide data 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(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-3ca7c87e-855f-4bb2-83ec-0d36dbc946ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ca7c87e-855f-4bb2-83ec-0d36dbc946ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b34efef1-ffbb-468c-83f7-88acc4781685' class='xr-var-data-in' type='checkbox'><label for='data-b34efef1-ffbb-468c-83f7-88acc4781685' title='Show/Hide data 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a836164-ce0d-46e6-9e7b-c843ba29bc70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a836164-ce0d-46e6-9e7b-c843ba29bc70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aeb2043-59da-4081-80e7-11880f1604cb' class='xr-var-data-in' type='checkbox'><label for='data-9aeb2043-59da-4081-80e7-11880f1604cb' title='Show/Hide data 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[62455536 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb947d8e-edba-41cc-b320-b59ec4c0984e' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb947d8e-edba-41cc-b320-b59ec4c0984e' class='xr-section-summary' >Attributes: <span>(165)</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-1.7</dd><dt><span>history :</span></dt><dd>Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</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: 432, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 3,
     "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": 4,
   "metadata": {},
   "outputs": [
    {
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       ".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: 311, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2005-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\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",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</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-41d14b29-fc04-4db8-a5ba-301fc08fc5f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41d14b29-fc04-4db8-a5ba-301fc08fc5f6' 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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3ade3b7a-6b08-456f-b4cc-57f39e3e6924' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ade3b7a-6b08-456f-b4cc-57f39e3e6924' class='xr-section-summary' >Coordinates: <span>(5)</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-d3ba02b7-b6b5-4527-aa5c-41ffeea27aaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3ba02b7-b6b5-4527-aa5c-41ffeea27aaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ace7ac32-526f-4c18-86d0-58d86df37feb' class='xr-var-data-in' type='checkbox'><label for='data-ace7ac32-526f-4c18-86d0-58d86df37feb' title='Show/Hide data 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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b2833d7-943b-417a-8cf1-f7b313cf1d8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b2833d7-943b-417a-8cf1-f7b313cf1d8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-404bd0ae-e3e1-49d6-9dfb-b901c5a53a76' class='xr-var-data-in' type='checkbox'><label for='data-404bd0ae-e3e1-49d6-9dfb-b901c5a53a76' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e27e368-50af-47b9-90fb-a3adc869a2c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e27e368-50af-47b9-90fb-a3adc869a2c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30f0bbbc-70d4-40a9-99c2-87ab27063a43' class='xr-var-data-in' type='checkbox'><label for='data-30f0bbbc-70d4-40a9-99c2-87ab27063a43' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-8b32232d-3f03-4754-9375-20caf754eaf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b32232d-3f03-4754-9375-20caf754eaf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adbeddf1-d1fa-4f80-92f6-72c5ee179606' class='xr-var-data-in' type='checkbox'><label for='data-adbeddf1-d1fa-4f80-92f6-72c5ee179606' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-9fb16ea8-2aa3-497c-8999-42d66d42c84f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fb16ea8-2aa3-497c-8999-42d66d42c84f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8223f4f7-fb19-4863-b87b-745ba82f9807' class='xr-var-data-in' type='checkbox'><label for='data-8223f4f7-fb19-4863-b87b-745ba82f9807' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-80bd879b-b2e9-4d9b-8111-062b190de5ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80bd879b-b2e9-4d9b-8111-062b190de5ab' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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-b88545b1-49f2-4164-b8cd-2775c39e7e59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b88545b1-49f2-4164-b8cd-2775c39e7e59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79691b5c-380d-4f69-8a06-156cf4950318' class='xr-var-data-in' type='checkbox'><label for='data-79691b5c-380d-4f69-8a06-156cf4950318' title='Show/Hide data 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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-5e5a0a7f-fcab-4309-8258-850a431ba07d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e5a0a7f-fcab-4309-8258-850a431ba07d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f96d839e-c60b-4a61-b8cb-c27922584f8b' class='xr-var-data-in' type='checkbox'><label for='data-f96d839e-c60b-4a61-b8cb-c27922584f8b' title='Show/Hide data 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f16d3f3-86c0-4022-8992-c6065e8a1c7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f16d3f3-86c0-4022-8992-c6065e8a1c7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21366382-438c-4220-8001-2d88e34ea505' class='xr-var-data-in' type='checkbox'><label for='data-21366382-438c-4220-8001-2d88e34ea505' title='Show/Hide data 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[44962203 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8329d18e-ed85-4d27-85e5-64bcab79afe1' class='xr-section-summary-in' type='checkbox'  ><label for='section-8329d18e-ed85-4d27-85e5-64bcab79afe1' class='xr-section-summary' >Attributes: <span>(165)</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-1.7</dd><dt><span>history :</span></dt><dd>Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</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, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-01-16T12:00:00 ... 2005-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\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",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 4,
     "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": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
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       "  display: none;\n",
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       "\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",
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       "\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",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  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, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\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",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</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-b423fba0-579f-4eb5-8e67-e4abf2ebc381' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b423fba0-579f-4eb5-8e67-e4abf2ebc381' 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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4b5489cc-8528-4366-a0f4-b408c1376926' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4b5489cc-8528-4366-a0f4-b408c1376926' class='xr-section-summary' >Coordinates: <span>(5)</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-a6fbd6ba-865a-4f25-8e5e-ab28ddc82043' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6fbd6ba-865a-4f25-8e5e-ab28ddc82043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d7b6cce-2517-4365-a968-f5f465d1da82' class='xr-var-data-in' type='checkbox'><label for='data-3d7b6cce-2517-4365-a968-f5f465d1da82' title='Show/Hide data 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>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-876e8ca8-af26-42ef-8099-aa356d582cd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-876e8ca8-af26-42ef-8099-aa356d582cd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec597119-b35a-4487-9d9d-1bc49c156f71' class='xr-var-data-in' type='checkbox'><label for='data-ec597119-b35a-4487-9d9d-1bc49c156f71' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9efa3000-cd7f-4cd2-bc30-2b258fe2dc70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9efa3000-cd7f-4cd2-bc30-2b258fe2dc70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2865f2d5-22df-4eac-b145-62df4e4462e5' class='xr-var-data-in' type='checkbox'><label for='data-2865f2d5-22df-4eac-b145-62df4e4462e5' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-61b8ea97-1a08-43b6-ac1f-0160434e9f7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61b8ea97-1a08-43b6-ac1f-0160434e9f7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1184cfc-f3c5-4bdf-a3dd-77c3fcba21c9' class='xr-var-data-in' type='checkbox'><label for='data-b1184cfc-f3c5-4bdf-a3dd-77c3fcba21c9' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-02831b95-9967-482e-b89b-b70bf53cd8db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02831b95-9967-482e-b89b-b70bf53cd8db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-281a5486-8ab0-4773-91ae-7dedb32b1169' class='xr-var-data-in' type='checkbox'><label for='data-281a5486-8ab0-4773-91ae-7dedb32b1169' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b95d07c9-caf2-4f40-8967-2f170deec9dd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b95d07c9-caf2-4f40-8967-2f170deec9dd' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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-881aba9b-06d5-4442-a4f1-746fe8678764' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-881aba9b-06d5-4442-a4f1-746fe8678764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dba1417-e0b8-4b1a-bc47-db803e745c95' class='xr-var-data-in' type='checkbox'><label for='data-7dba1417-e0b8-4b1a-bc47-db803e745c95' title='Show/Hide data 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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-15366965-da99-4aee-a153-15dbb0f2fb79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15366965-da99-4aee-a153-15dbb0f2fb79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69cca983-2a7b-49a8-af3c-01f8f30fb2de' class='xr-var-data-in' type='checkbox'><label for='data-69cca983-2a7b-49a8-af3c-01f8f30fb2de' title='Show/Hide data 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c0839f5-377e-413a-a4be-6cf6ff0310f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c0839f5-377e-413a-a4be-6cf6ff0310f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fee71fb2-409a-4990-8a5c-72d0987a1f54' class='xr-var-data-in' type='checkbox'><label for='data-fee71fb2-409a-4990-8a5c-72d0987a1f54' title='Show/Hide data 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15035592 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa48dae2-c0be-47a0-a74e-a4a378eb1dfc' class='xr-section-summary-in' type='checkbox'  ><label for='section-aa48dae2-c0be-47a0-a74e-a4a378eb1dfc' class='xr-section-summary' >Attributes: <span>(165)</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-1.7</dd><dt><span>history :</span></dt><dd>Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</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, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1980-06-16 ... 2005-09-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\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",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Mon Jun 27 15:34:28 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 5,
     "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": 9,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[7.6749595e-05, 6.9291280e-05, 7.1032591e-05, ..., 7.2830553e-05,\n",
       "        7.3529533e-05, 8.0528669e-05],\n",
       "       [6.3921216e-05, 5.2208117e-05, 5.3857486e-05, ..., 5.7782305e-05,\n",
       "        5.7935980e-05, 7.0116126e-05],\n",
       "       [6.4872867e-05, 5.3671210e-05, 4.8273741e-05, ..., 5.2248761e-05,\n",
       "        5.4442462e-05, 6.3763073e-05],\n",
       "       ...,\n",
       "       [5.2325160e-04, 2.7817948e-04, 1.8049614e-04, ..., 3.0249049e-04,\n",
       "        3.7932425e-04, 5.7904865e-04],\n",
       "       [5.6253461e-04, 2.8644028e-04, 2.0517159e-04, ..., 3.7410238e-04,\n",
       "        4.1052655e-04, 5.8400078e-04],\n",
       "       [6.0286216e-04, 4.3610085e-04, 2.6865143e-04, ..., 5.3082750e-04,\n",
       "        5.5424089e-04, 6.5344502e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fedd9489-ad41-46a7-8751-63ed92e84100' class='xr-array-in' type='checkbox' checked><label for='section-fedd9489-ad41-46a7-8751-63ed92e84100' 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>7.675e-05 6.929e-05 7.103e-05 ... 0.0005308 0.0005542 0.0006534</span></div><div class='xr-array-data'><pre>array([[7.6749595e-05, 6.9291280e-05, 7.1032591e-05, ..., 7.2830553e-05,\n",
       "        7.3529533e-05, 8.0528669e-05],\n",
       "       [6.3921216e-05, 5.2208117e-05, 5.3857486e-05, ..., 5.7782305e-05,\n",
       "        5.7935980e-05, 7.0116126e-05],\n",
       "       [6.4872867e-05, 5.3671210e-05, 4.8273741e-05, ..., 5.2248761e-05,\n",
       "        5.4442462e-05, 6.3763073e-05],\n",
       "       ...,\n",
       "       [5.2325160e-04, 2.7817948e-04, 1.8049614e-04, ..., 3.0249049e-04,\n",
       "        3.7932425e-04, 5.7904865e-04],\n",
       "       [5.6253461e-04, 2.8644028e-04, 2.0517159e-04, ..., 3.7410238e-04,\n",
       "        4.1052655e-04, 5.8400078e-04],\n",
       "       [6.0286216e-04, 4.3610085e-04, 2.6865143e-04, ..., 5.3082750e-04,\n",
       "        5.5424089e-04, 6.5344502e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-764a55ac-1f1a-4896-8ac6-feb819f652e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-764a55ac-1f1a-4896-8ac6-feb819f652e1' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c45e4ee-e1f1-49c6-bd26-b9926071c4cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c45e4ee-e1f1-49c6-bd26-b9926071c4cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d49b8b0d-66c5-4cd7-a771-aa1a2a3ef7cd' class='xr-var-data-in' type='checkbox'><label for='data-d49b8b0d-66c5-4cd7-a771-aa1a2a3ef7cd' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e90632f-db68-4f59-aa92-e5af9860fc71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e90632f-db68-4f59-aa92-e5af9860fc71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31e7d391-e504-4d19-a254-748c2b1ac52a' class='xr-var-data-in' type='checkbox'><label for='data-31e7d391-e504-4d19-a254-748c2b1ac52a' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-dfd28627-3091-46cd-8e83-d96edcdc0ccc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfd28627-3091-46cd-8e83-d96edcdc0ccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0da41d0-ff42-423a-940a-26736146700a' class='xr-var-data-in' type='checkbox'><label for='data-e0da41d0-ff42-423a-940a-26736146700a' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-d7a7fb8f-d1b1-43ba-885b-871d563c2878' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7a7fb8f-d1b1-43ba-885b-871d563c2878' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edc1ec49-87d8-4d19-96d4-e6dc44e5977d' class='xr-var-data-in' type='checkbox'><label for='data-edc1ec49-87d8-4d19-96d4-e6dc44e5977d' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e21b869-b4af-4011-b0da-ab2758ba70b7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0e21b869-b4af-4011-b0da-ab2758ba70b7' 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' (y: 337, x: 429)>\n",
       "array([[7.6749595e-05, 6.9291280e-05, 7.1032591e-05, ..., 7.2830553e-05,\n",
       "        7.3529533e-05, 8.0528669e-05],\n",
       "       [6.3921216e-05, 5.2208117e-05, 5.3857486e-05, ..., 5.7782305e-05,\n",
       "        5.7935980e-05, 7.0116126e-05],\n",
       "       [6.4872867e-05, 5.3671210e-05, 4.8273741e-05, ..., 5.2248761e-05,\n",
       "        5.4442462e-05, 6.3763073e-05],\n",
       "       ...,\n",
       "       [5.2325160e-04, 2.7817948e-04, 1.8049614e-04, ..., 3.0249049e-04,\n",
       "        3.7932425e-04, 5.7904865e-04],\n",
       "       [5.6253461e-04, 2.8644028e-04, 2.0517159e-04, ..., 3.7410238e-04,\n",
       "        4.1052655e-04, 5.8400078e-04],\n",
       "       [6.0286216e-04, 4.3610085e-04, 2.6865143e-04, ..., 5.3082750e-04,\n",
       "        5.5424089e-04, 6.5344502e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 9,
     "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": 10,
   "metadata": {},
   "outputs": [
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       "  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; (y: 337, x: 429)&gt;\n",
       "array([[ 6.631165  ,  5.98676659,  6.13721588, ...,  6.29255979,\n",
       "         6.35295161,  6.95767701],\n",
       "       [ 5.52279304,  4.51078133,  4.65328678, ...,  4.99239113,\n",
       "         5.0056687 ,  6.0580333 ],\n",
       "       [ 5.60501574,  4.63719259,  4.17085126, ...,  4.51429293,\n",
       "         4.70382872,  5.50912949],\n",
       "       ...,\n",
       "       [45.20893805, 24.03470669, 15.59486613, ..., 26.1351781 ,\n",
       "        32.77361523, 50.02980307],\n",
       "       [48.60299025, 24.74843999, 17.72682499, ..., 32.32244588,\n",
       "        35.46949429, 50.45766737],\n",
       "       [52.0872904 , 37.67911317, 23.21148394, ..., 45.86349595,\n",
       "        47.88641296, 56.45764992]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c37445a7-8ff9-4b1f-b3a3-150ad148dd8d' class='xr-array-in' type='checkbox' checked><label for='section-c37445a7-8ff9-4b1f-b3a3-150ad148dd8d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>6.631 5.987 6.137 6.652 6.943 6.718 ... 44.32 44.97 45.86 47.89 56.46</span></div><div class='xr-array-data'><pre>array([[ 6.631165  ,  5.98676659,  6.13721588, ...,  6.29255979,\n",
       "         6.35295161,  6.95767701],\n",
       "       [ 5.52279304,  4.51078133,  4.65328678, ...,  4.99239113,\n",
       "         5.0056687 ,  6.0580333 ],\n",
       "       [ 5.60501574,  4.63719259,  4.17085126, ...,  4.51429293,\n",
       "         4.70382872,  5.50912949],\n",
       "       ...,\n",
       "       [45.20893805, 24.03470669, 15.59486613, ..., 26.1351781 ,\n",
       "        32.77361523, 50.02980307],\n",
       "       [48.60299025, 24.74843999, 17.72682499, ..., 32.32244588,\n",
       "        35.46949429, 50.45766737],\n",
       "       [52.0872904 , 37.67911317, 23.21148394, ..., 45.86349595,\n",
       "        47.88641296, 56.45764992]])</pre></div></div></li><li class='xr-section-item'><input id='section-9caee65e-84b2-4d91-9fe6-156961a10fdd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9caee65e-84b2-4d91-9fe6-156961a10fdd' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bdaf4478-3ce1-42c4-90de-390913038dde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdaf4478-3ce1-42c4-90de-390913038dde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60d03fde-bc0a-4e8d-956c-e4eec2d93bf8' class='xr-var-data-in' type='checkbox'><label for='data-60d03fde-bc0a-4e8d-956c-e4eec2d93bf8' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ab1eb3d-98a6-4ef8-8ca6-e17e3ba4d921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ab1eb3d-98a6-4ef8-8ca6-e17e3ba4d921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29363f42-9ecb-4ba7-a43a-2bcbc2b3960e' class='xr-var-data-in' type='checkbox'><label for='data-29363f42-9ecb-4ba7-a43a-2bcbc2b3960e' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-f7859467-68bd-48f9-ae66-85091e58e034' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7859467-68bd-48f9-ae66-85091e58e034' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9999703-3240-4a54-a6e5-7e08959d5d28' class='xr-var-data-in' type='checkbox'><label for='data-f9999703-3240-4a54-a6e5-7e08959d5d28' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-96162fce-e35a-4556-9de9-6e64a88cc1c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96162fce-e35a-4556-9de9-6e64a88cc1c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e9475f5-a5aa-41f9-a0e1-252f147ff33f' class='xr-var-data-in' type='checkbox'><label for='data-4e9475f5-a5aa-41f9-a0e1-252f147ff33f' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f68057f2-bcd4-4e2d-b508-a5c4edce5d4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f68057f2-bcd4-4e2d-b508-a5c4edce5d4b' 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' (y: 337, x: 429)>\n",
       "array([[ 6.631165  ,  5.98676659,  6.13721588, ...,  6.29255979,\n",
       "         6.35295161,  6.95767701],\n",
       "       [ 5.52279304,  4.51078133,  4.65328678, ...,  4.99239113,\n",
       "         5.0056687 ,  6.0580333 ],\n",
       "       [ 5.60501574,  4.63719259,  4.17085126, ...,  4.51429293,\n",
       "         4.70382872,  5.50912949],\n",
       "       ...,\n",
       "       [45.20893805, 24.03470669, 15.59486613, ..., 26.1351781 ,\n",
       "        32.77361523, 50.02980307],\n",
       "       [48.60299025, 24.74843999, 17.72682499, ..., 32.32244588,\n",
       "        35.46949429, 50.45766737],\n",
       "       [52.0872904 , 37.67911317, 23.21148394, ..., 45.86349595,\n",
       "        47.88641296, 56.45764992]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_mm = jjas_mean*86400\n",
    "pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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",
    "plt.rcParams['font.size'] = '16'\n",
    "\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['lon'][:], pr_mm['lat'][:],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('RegCM(MIROC5) Mean jjas precip')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_miroc5_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": 12,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 337, x: 429)&gt;\n",
       "array([[3.6545566e-04, 3.1891727e-04, 3.0917572e-04, ..., 4.0927720e-05,\n",
       "        4.2301232e-05, 4.6950448e-05],\n",
       "       [3.0164080e-04, 2.2870346e-04, 2.2794043e-04, ..., 3.3691518e-05,\n",
       "        3.4470297e-05, 4.1999218e-05],\n",
       "       [3.0456917e-04, 2.4511857e-04, 2.1743537e-04, ..., 3.1460462e-05,\n",
       "        3.2898079e-05, 3.9858038e-05],\n",
       "       ...,\n",
       "       [3.5225626e-04, 2.0611832e-04, 1.6748358e-04, ..., 1.2410499e-04,\n",
       "        1.5497087e-04, 2.3711151e-04],\n",
       "       [3.6826753e-04, 2.1018118e-04, 1.8417805e-04, ..., 1.5129038e-04,\n",
       "        1.6574547e-04, 2.3772701e-04],\n",
       "       [3.9714502e-04, 3.0008587e-04, 2.2544735e-04, ..., 2.1339898e-04,\n",
       "        2.2413782e-04, 2.6829439e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-de92ef06-6a7c-411f-bf89-f85815f137e9' class='xr-array-in' type='checkbox' checked><label for='section-de92ef06-6a7c-411f-bf89-f85815f137e9' 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>0.0003655 0.0003189 0.0003092 ... 0.0002134 0.0002241 0.0002683</span></div><div class='xr-array-data'><pre>array([[3.6545566e-04, 3.1891727e-04, 3.0917572e-04, ..., 4.0927720e-05,\n",
       "        4.2301232e-05, 4.6950448e-05],\n",
       "       [3.0164080e-04, 2.2870346e-04, 2.2794043e-04, ..., 3.3691518e-05,\n",
       "        3.4470297e-05, 4.1999218e-05],\n",
       "       [3.0456917e-04, 2.4511857e-04, 2.1743537e-04, ..., 3.1460462e-05,\n",
       "        3.2898079e-05, 3.9858038e-05],\n",
       "       ...,\n",
       "       [3.5225626e-04, 2.0611832e-04, 1.6748358e-04, ..., 1.2410499e-04,\n",
       "        1.5497087e-04, 2.3711151e-04],\n",
       "       [3.6826753e-04, 2.1018118e-04, 1.8417805e-04, ..., 1.5129038e-04,\n",
       "        1.6574547e-04, 2.3772701e-04],\n",
       "       [3.9714502e-04, 3.0008587e-04, 2.2544735e-04, ..., 2.1339898e-04,\n",
       "        2.2413782e-04, 2.6829439e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-48951ea9-4eec-41e9-8795-f8324f6d8419' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48951ea9-4eec-41e9-8795-f8324f6d8419' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-890dfd34-df15-4a8d-ad2e-4aa0ca25e467' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-890dfd34-df15-4a8d-ad2e-4aa0ca25e467' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8199a011-abda-4504-a169-35ed67961536' class='xr-var-data-in' type='checkbox'><label for='data-8199a011-abda-4504-a169-35ed67961536' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0870e077-d21c-4a9d-aa18-79956d93b8cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0870e077-d21c-4a9d-aa18-79956d93b8cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cfb6609-4ece-4d52-bbc9-c8ec8c255419' class='xr-var-data-in' type='checkbox'><label for='data-9cfb6609-4ece-4d52-bbc9-c8ec8c255419' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-ea34db40-832c-4d84-8859-68a00df7d27f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea34db40-832c-4d84-8859-68a00df7d27f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fca3b13b-0370-4e63-8df8-33b4bb5d6486' class='xr-var-data-in' type='checkbox'><label for='data-fca3b13b-0370-4e63-8df8-33b4bb5d6486' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-472a46eb-c992-4c18-a49a-0cee2cb4aa19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-472a46eb-c992-4c18-a49a-0cee2cb4aa19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-646c439a-201c-4ad8-8d69-077a01935e10' class='xr-var-data-in' type='checkbox'><label for='data-646c439a-201c-4ad8-8d69-077a01935e10' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e881a915-4b45-4fe9-ba6f-c4861ab7381c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e881a915-4b45-4fe9-ba6f-c4861ab7381c' 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' (y: 337, x: 429)>\n",
       "array([[3.6545566e-04, 3.1891727e-04, 3.0917572e-04, ..., 4.0927720e-05,\n",
       "        4.2301232e-05, 4.6950448e-05],\n",
       "       [3.0164080e-04, 2.2870346e-04, 2.2794043e-04, ..., 3.3691518e-05,\n",
       "        3.4470297e-05, 4.1999218e-05],\n",
       "       [3.0456917e-04, 2.4511857e-04, 2.1743537e-04, ..., 3.1460462e-05,\n",
       "        3.2898079e-05, 3.9858038e-05],\n",
       "       ...,\n",
       "       [3.5225626e-04, 2.0611832e-04, 1.6748358e-04, ..., 1.2410499e-04,\n",
       "        1.5497087e-04, 2.3711151e-04],\n",
       "       [3.6826753e-04, 2.1018118e-04, 1.8417805e-04, ..., 1.5129038e-04,\n",
       "        1.6574547e-04, 2.3772701e-04],\n",
       "       [3.9714502e-04, 3.0008587e-04, 2.2544735e-04, ..., 2.1339898e-04,\n",
       "        2.2413782e-04, 2.6829439e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annual_mean = data.pr.mean('time')\n",
    "annual_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "  --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; (y: 337, x: 429)&gt;\n",
       "array([[31.57536937, 27.55445223, 26.71278259, ...,  3.536155  ,\n",
       "         3.65482641,  4.05651875],\n",
       "       [26.0617652 , 19.75997882, 19.69405306, ...,  2.91094717,\n",
       "         2.97823363,  3.62873239],\n",
       "       [26.3147763 , 21.17824461, 18.78641616, ...,  2.71818393,\n",
       "         2.84239399,  3.44373446],\n",
       "       ...,\n",
       "       [30.43494103, 17.80862273, 14.47058134, ..., 10.72267117,\n",
       "        13.38948305, 20.4864346 ],\n",
       "       [31.81831464, 18.15965432, 15.91298324, ..., 13.07148915,\n",
       "        14.32040865, 20.539614  ],\n",
       "       [34.31332977, 25.92741922, 19.47865114, ..., 18.43767157,\n",
       "        19.36550802, 23.18063518]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06</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'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-96fcee6a-910c-4bac-9c8d-8795bd73ea3a' class='xr-array-in' type='checkbox' checked><label for='section-96fcee6a-910c-4bac-9c8d-8795bd73ea3a' 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>31.58 27.55 26.71 27.32 27.91 27.46 ... 17.89 18.13 18.44 19.37 23.18</span></div><div class='xr-array-data'><pre>array([[31.57536937, 27.55445223, 26.71278259, ...,  3.536155  ,\n",
       "         3.65482641,  4.05651875],\n",
       "       [26.0617652 , 19.75997882, 19.69405306, ...,  2.91094717,\n",
       "         2.97823363,  3.62873239],\n",
       "       [26.3147763 , 21.17824461, 18.78641616, ...,  2.71818393,\n",
       "         2.84239399,  3.44373446],\n",
       "       ...,\n",
       "       [30.43494103, 17.80862273, 14.47058134, ..., 10.72267117,\n",
       "        13.38948305, 20.4864346 ],\n",
       "       [31.81831464, 18.15965432, 15.91298324, ..., 13.07148915,\n",
       "        14.32040865, 20.539614  ],\n",
       "       [34.31332977, 25.92741922, 19.47865114, ..., 18.43767157,\n",
       "        19.36550802, 23.18063518]])</pre></div></div></li><li class='xr-section-item'><input id='section-a340f330-5dbb-41d0-adf0-2b95fa3da09b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a340f330-5dbb-41d0-adf0-2b95fa3da09b' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc242d4c-9b90-4013-8420-a43e6d0b18d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc242d4c-9b90-4013-8420-a43e6d0b18d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19e3e9e3-917a-4193-b0c3-028aeefef8b9' class='xr-var-data-in' type='checkbox'><label for='data-19e3e9e3-917a-4193-b0c3-028aeefef8b9' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b810f9b-7827-4432-adb1-47ae890e6d0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b810f9b-7827-4432-adb1-47ae890e6d0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0882a6d8-cfd8-43b5-a29c-0e483c5d2217' class='xr-var-data-in' type='checkbox'><label for='data-0882a6d8-cfd8-43b5-a29c-0e483c5d2217' title='Show/Hide data 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-6da9d3b5-7c61-4dff-b062-ddd7594a0322' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6da9d3b5-7c61-4dff-b062-ddd7594a0322' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-409d4b7e-655d-4b4c-a8a4-c7e2f1d5b17d' class='xr-var-data-in' type='checkbox'><label for='data-409d4b7e-655d-4b4c-a8a4-c7e2f1d5b17d' title='Show/Hide data 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-b4a9d8e6-9414-4124-b041-f4a40cf7444c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4a9d8e6-9414-4124-b041-f4a40cf7444c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a2df7a4-0cc8-4414-bfb5-679057a19ed4' class='xr-var-data-in' type='checkbox'><label for='data-2a2df7a4-0cc8-4414-bfb5-679057a19ed4' title='Show/Hide data 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-643df33d-0bad-41e1-9d85-420ab1d1fd7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-643df33d-0bad-41e1-9d85-420ab1d1fd7b' 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' (y: 337, x: 429)>\n",
       "array([[31.57536937, 27.55445223, 26.71278259, ...,  3.536155  ,\n",
       "         3.65482641,  4.05651875],\n",
       "       [26.0617652 , 19.75997882, 19.69405306, ...,  2.91094717,\n",
       "         2.97823363,  3.62873239],\n",
       "       [26.3147763 , 21.17824461, 18.78641616, ...,  2.71818393,\n",
       "         2.84239399,  3.44373446],\n",
       "       ...,\n",
       "       [30.43494103, 17.80862273, 14.47058134, ..., 10.72267117,\n",
       "        13.38948305, 20.4864346 ],\n",
       "       [31.81831464, 18.15965432, 15.91298324, ..., 13.07148915,\n",
       "        14.32040865, 20.539614  ],\n",
       "       [34.31332977, 25.92741922, 19.47865114, ..., 18.43767157,\n",
       "        19.36550802, 23.18063518]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 ...\n",
       "    lat      (y, x) float64 ...\n",
       "  * x        (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y        (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06"
      ]
     },
     "execution_count": 13,
     "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": 15,
   "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['lon'], annual_pr_mm['lat'],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",
    "\n",
    "#plt.title('RegCM(MIROC5) Annual mean precip rate in mm/day',fontweight='bold', fontsize=15)\n",
    "\n",
    "plt.title('RegCM(MIROC5) Annual mean precip rate in mm/day')\n",
    "\n",
    "\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/bd_pr_miroc5_annual_mean.png\")\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
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 },
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}