test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "from pathlib import Path\n",
    "import os\n",
    "\n",
    "import utilities as ut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_info_dict = ut.json2dict('data_info.json')\n",
    "\n",
    "def fetch(name, destination='./data', reload=False):\n",
    "    destination = Path(destination)\n",
    "    if not os.path.exists(destination):\n",
    "        destination.mkdir(parents=True)\n",
    "\n",
    "    if name.endswith('.nc'):\n",
    "        name = name[:-3]\n",
    "\n",
    "    file = destination / f'{name}.nc'\n",
    "    if not os.path.exists(file) or reload:\n",
    "        try:\n",
    "            link = data_info_dict[name]['link']\n",
    "        except KeyError:\n",
    "            raise KeyError(f'No item {name} in data_info.json')\n",
    "        os.system(f\"wget -O {file} \\\"{link}\\\"\")\n",
    "    else:\n",
    "        print('file already loaded')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "--2022-04-11 11:43:51--  https://mycore.core-cloud.net/index.php/s/r9XRFyOQgmsAvNG/download\n",
      "Risoluzione di mycore.core-cloud.net (mycore.core-cloud.net)... 64:ff9b::c239:8af7, 64:ff9b::c239:8af0, 194.57.138.240, ...\n",
      "Connessione a mycore.core-cloud.net (mycore.core-cloud.net)|64:ff9b::c239:8af7|:443... connesso.\n",
      "Richiesta HTTP inviata, in attesa di risposta... 200 OK\n",
      "Lunghezza: 413481 (404K) [application/octet-stream]\n",
      "Salvataggio in: \"data/mrso10.nc\"\n",
      "\n",
      "     0K .......... .......... .......... .......... .......... 12% 3,48M 0s\n",
      "    50K .......... .......... .......... .......... .......... 24% 1,14M 0s\n",
      "   100K .......... .......... .......... .......... .......... 37% 2,06M 0s\n",
      "   150K .......... .......... .......... .......... .......... 49% 4,73M 0s\n",
      "   200K .......... .......... .......... .......... .......... 61% 3,77M 0s\n",
      "   250K .......... .......... .......... .......... .......... 74% 4,25M 0s\n",
      "   300K .......... .......... .......... .......... .......... 86% 4,06M 0s\n",
      "   350K .......... .......... .......... .......... .......... 99% 6,61M 0s\n",
      "   400K ...                                                   100% 11,3M=0,1s\n",
      "\n",
      "2022-04-11 11:43:52 (2,92 MB/s) - \"data/mrso10.nc\" salvato [413481/413481]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "fetch('mrso10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 10, bnds: 2, lon: 128, lat: 64)\n",
       "Coordinates:\n",
       "  * time       (time) object 0001-05-01 10:30:00 ... 0001-05-10 10:30:00\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "  * lat        (lat) float64 87.86 85.1 82.31 79.53 ... -82.31 -85.1 -87.86\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 0001-05-01 00:00:00 ... 0001-05-10 21:00:00\n",
       "    mrso       (time, lat, lon) float32 0.0 0.0 0.0 ... 0.0009993 0.001 0.001\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/...\n",
       "    Conventions:  CF-1.0\n",
       "    history:      Tue Feb 23 09:36:35 2021: cdo cat /scratch/gmiloshe/PLASIM/...\n",
       "    title:        PUMA/PLASIM DATA\n",
       "    frequency:    day\n",
       "    CDO:          Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/...</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-404194ba-00c9-43cf-bcc3-b806ce748515' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-404194ba-00c9-43cf-bcc3-b806ce748515' 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>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 128</li><li><span class='xr-has-index'>lat</span>: 64</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d0ec69d9-ac09-46c1-9119-13f9d1112c5c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0ec69d9-ac09-46c1-9119-13f9d1112c5c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-05-01 10:30:00 ... 0001-05-...</div><input id='attrs-bac32244-a320-4d72-bb64-f58d66038a27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bac32244-a320-4d72-bb64-f58d66038a27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d2b7590-7095-47c4-be03-e64e2e27d6a6' class='xr-var-data-in' type='checkbox'><label for='data-2d2b7590-7095-47c4-be03-e64e2e27d6a6' title='Show/Hide data 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>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.Datetime360Day(1, 5, 1, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 2, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 3, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 4, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 5, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 6, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 7, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 8, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 9, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 10, 10, 30, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-f593c5d2-7063-4376-bed7-bd7a3e65c92a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f593c5d2-7063-4376-bed7-bd7a3e65c92a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-236a9f37-c41f-4f57-8d66-683699200360' class='xr-var-data-in' type='checkbox'><label for='data-236a9f37-c41f-4f57-8d66-683699200360' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>87.86 85.1 82.31 ... -85.1 -87.86</div><input id='attrs-62e2ee3a-463f-4d91-908f-bf061ea4bc87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62e2ee3a-463f-4d91-908f-bf061ea4bc87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b07b604f-2805-4e62-a684-c43e0c23e369' class='xr-var-data-in' type='checkbox'><label for='data-b07b604f-2805-4e62-a684-c43e0c23e369' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 87.863799,  85.096527,  82.312913,  79.525607,  76.7369  ,  73.947515,\n",
       "        71.157752,  68.367756,  65.577607,  62.787352,  59.99702 ,  57.206632,\n",
       "        54.4162  ,  51.625734,  48.835241,  46.044727,  43.254195,  40.463648,\n",
       "        37.67309 ,  34.882521,  32.091944,  29.30136 ,  26.510769,  23.720174,\n",
       "        20.929574,  18.138971,  15.348365,  12.557756,   9.767146,   6.976534,\n",
       "         4.185921,   1.395307,  -1.395307,  -4.185921,  -6.976534,  -9.767146,\n",
       "       -12.557756, -15.348365, -18.138971, -20.929574, -23.720174, -26.510769,\n",
       "       -29.30136 , -32.091944, -34.882521, -37.67309 , -40.463648, -43.254195,\n",
       "       -46.044727, -48.835241, -51.625734, -54.4162  , -57.206632, -59.99702 ,\n",
       "       -62.787352, -65.577607, -68.367756, -71.157752, -73.947515, -76.7369  ,\n",
       "       -79.525607, -82.312913, -85.096527, -87.863799])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-419494f5-b6e5-4766-b94a-2e45ddb475ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-419494f5-b6e5-4766-b94a-2e45ddb475ca' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-064fda11-09c9-4203-b7bd-32fd32a9fee0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-064fda11-09c9-4203-b7bd-32fd32a9fee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-305ce172-188b-4a39-a7b8-ea5709d62a7c' class='xr-var-data-in' type='checkbox'><label for='data-305ce172-188b-4a39-a7b8-ea5709d62a7c' title='Show/Hide data 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.Datetime360Day(1, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 1, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 2, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 3, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 4, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 4, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 5, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 5, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 6, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 6, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 7, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 7, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 8, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 9, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 9, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 10, 21, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mrso</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5400e7e-78ce-4fbe-962b-1187cebf60d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5400e7e-78ce-4fbe-962b-1187cebf60d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-231f6ecd-bf14-4bc4-8270-70bb65de9417' class='xr-var-data-in' type='checkbox'><label for='data-231f6ecd-bf14-4bc4-8270-70bb65de9417' title='Show/Hide data 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>lwe_of_soil_moisture_content</dd><dt><span>long_name :</span></dt><dd>lwe_of_soil_moisture_content</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>code :</span></dt><dd>140</dd></dl></div><div class='xr-var-data'><pre>array([[[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000996, 0.000995, ..., 0.000998, 0.000994],\n",
       "        [0.001   , 0.001   , ..., 0.001   , 0.001   ]],\n",
       "\n",
       "       [[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000999, 0.000994, ..., 0.001   , 0.001   ],\n",
       "        [0.001   , 0.001   , ..., 0.001   , 0.001   ]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000997, 0.000997, ..., 0.000998, 0.000998],\n",
       "        [0.001   , 0.001   , ..., 0.000999, 0.001   ]],\n",
       "\n",
       "       [[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000999, 0.000999, ..., 0.000998, 0.000999],\n",
       "        [0.001   , 0.001   , ..., 0.001   , 0.001   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87cd5c1f-2e38-4f98-8a40-dd0c379a313d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87cd5c1f-2e38-4f98-8a40-dd0c379a313d' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>Tue Feb 23 09:36:35 2021: cdo cat /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR1.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR2.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR3.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR4.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR5.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR6.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR7.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR8.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR9.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR10.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR11.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR12.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR13.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR14.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR15.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR16.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR17.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR18.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR19.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR20.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR21.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR22.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR23.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR24.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR25.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR26.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR27.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR28.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR29.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR30.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR31.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR32.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR33.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR34.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR35.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR36.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR37.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR38.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR39.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR40.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR41.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR42.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR43.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR44.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR45.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR46.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR47.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR48.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR49.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR50.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR51.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR52.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR53.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR54.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR55.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR56.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR57.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR58.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR59.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR60.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR61.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR62.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR63.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR64.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR65.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR66.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR67.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR68.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR69.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR70.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR71.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR72.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR73.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR74.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR75.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR76.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR77.mrso.nc 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/scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR70.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR71.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR72.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR73.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR74.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR75.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR76.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR77.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR78.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR79.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR80.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR81.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR82.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR83.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR84.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR85.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR86.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH9.YR87.mrso.nc 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/scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR6.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR7.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR8.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR9.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR10.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR11.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR12.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR13.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR14.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR15.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR16.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR17.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR18.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR19.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR20.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR21.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR22.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR23.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR24.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR25.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR26.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR27.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR28.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR29.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR30.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR31.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR32.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR33.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR34.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR35.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR36.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR37.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR38.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR39.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR40.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR41.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR42.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR43.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR44.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR45.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR46.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR47.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR48.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR49.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR50.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR51.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR52.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR53.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR54.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR55.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR56.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR57.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR58.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR59.mrso.nc 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/scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR78.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR79.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR80.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR81.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR82.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR83.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR84.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR85.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR86.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR87.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR88.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR89.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR90.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR91.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR92.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR93.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR94.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR95.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR96.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR97.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR98.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR99.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR100.mrso.nc /scratch/gmiloshe/PLASIM/test/mrso.nc\n",
       "Tue Feb 23 09:15:36 2021: cdo daymean /scratch/gmiloshe/PLASIM/test/BATCH1.YR1.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR1.mrso.nc\n",
       "Tue Feb 23 09:15:35 2021: cdo -O mergetime /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.05/CONTROL_BATCH0001_mrso.05.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.06/CONTROL_BATCH0001_mrso.06.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.07/CONTROL_BATCH0001_mrso.07.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.08/CONTROL_BATCH0001_mrso.08.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.09/CONTROL_BATCH0001_mrso.09.0001.nc /scratch/gmiloshe/PLASIM/test/BATCH1.YR1.mrso.nc\n",
       "Sat Aug 22 16:16:15 2020: cdo -select,name=mrso CONTROL_BATCH0001_misc.05.0001.nc CONTROL_BATCH0001_mrso.05.0001.nc\n",
       "Created by PumaBurner 7.4</dd><dt><span>title :</span></dt><dd>PUMA/PLASIM DATA</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 10, bnds: 2, lon: 128, lat: 64)\n",
       "Coordinates:\n",
       "  * time       (time) object 0001-05-01 10:30:00 ... 0001-05-10 10:30:00\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "  * lat        (lat) float64 87.86 85.1 82.31 79.53 ... -82.31 -85.1 -87.86\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    mrso       (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/...\n",
       "    Conventions:  CF-1.0\n",
       "    history:      Tue Feb 23 09:36:35 2021: cdo cat /scratch/gmiloshe/PLASIM/...\n",
       "    title:        PUMA/PLASIM DATA\n",
       "    frequency:    day\n",
       "    CDO:          Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = xr.open_dataset('./data/mrso10.nc')\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cftime import Datetime360Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cftime.Datetime360Day(1, 1, 1, 0, 0, 0, 0, has_year_zero=True)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = Datetime360Day(1, 1, 1)\n",
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cftime.Datetime360Day(4, 1, 1, 0, 0, 0, 0, has_year_zero=True)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = d.replace(year=d.year + 2)\n",
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "@np.vectorize\n",
    "def traslate(a, y):\n",
    "    return a.replace(year = a.year + y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;time&#x27; (time: 10)&gt;\n",
       "array([cftime.Datetime360Day(1, 5, 1, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 2, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 3, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 4, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 5, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 6, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 7, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 8, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 9, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 10, 10, 30, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)\n",
       "Coordinates:\n",
       "  * time     (time) object 0001-05-01 10:30:00 ... 0001-05-10 10:30:00\n",
       "Attributes:\n",
       "    standard_name:  time\n",
       "    bounds:         time_bnds\n",
       "    axis:           T</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'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c14232e0-dc4b-4f62-91a1-50963d9b5d93' class='xr-array-in' type='checkbox' checked><label for='section-c14232e0-dc4b-4f62-91a1-50963d9b5d93' 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>0001-05-01 10:30:00 0001-05-02 10:30:00 ... 0001-05-10 10:30:00</span></div><div class='xr-array-data'><pre>array([cftime.Datetime360Day(1, 5, 1, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 2, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 3, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 4, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 5, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 6, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 7, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 8, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 9, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 10, 10, 30, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-9fea006d-c826-4fa1-99df-ba0294d3401d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9fea006d-c826-4fa1-99df-ba0294d3401d' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span 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'>0001-05-01 10:30:00 ... 0001-05-...</div><input id='attrs-11d4d31f-2ba6-485d-82fd-ce2d56f46535' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11d4d31f-2ba6-485d-82fd-ce2d56f46535' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a264dff9-d729-4abb-b648-ee020e6e8048' class='xr-var-data-in' type='checkbox'><label for='data-a264dff9-d729-4abb-b648-ee020e6e8048' title='Show/Hide data 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>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.Datetime360Day(1, 5, 1, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 2, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 3, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 4, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 5, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 6, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 7, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 8, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 9, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 10, 10, 30, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03733965-a535-4327-af9f-5b2c153aea27' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03733965-a535-4327-af9f-5b2c153aea27' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_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></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'time' (time: 10)>\n",
       "array([cftime.Datetime360Day(1, 5, 1, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 2, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 3, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 4, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 5, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 6, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 7, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 8, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 9, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(1, 5, 10, 10, 30, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)\n",
       "Coordinates:\n",
       "  * time     (time) object 0001-05-01 10:30:00 ... 0001-05-10 10:30:00\n",
       "Attributes:\n",
       "    standard_name:  time\n",
       "    bounds:         time_bnds\n",
       "    axis:           T"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m.time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 10, bnds: 2, lon: 128, lat: 64)\n",
       "Coordinates:\n",
       "  * time       (time) object 0011-05-01 10:30:00 ... 0013-05-10 10:30:00\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "  * lat        (lat) float64 87.86 85.1 82.31 79.53 ... -82.31 -85.1 -87.86\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 0001-05-01 00:00:00 ... 0001-05-10 21:00:00\n",
       "    mrso       (time, lat, lon) float32 0.0 0.0 0.0 ... 0.0009993 0.001 0.001\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/...\n",
       "    Conventions:  CF-1.0\n",
       "    history:      Tue Feb 23 09:36:35 2021: cdo cat /scratch/gmiloshe/PLASIM/...\n",
       "    title:        PUMA/PLASIM DATA\n",
       "    frequency:    day\n",
       "    CDO:          Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/...</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-1c7d6042-e894-4c71-8ba5-c0756351a961' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1c7d6042-e894-4c71-8ba5-c0756351a961' 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>: 10</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 128</li><li><span class='xr-has-index'>lat</span>: 64</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-07ce9ac4-ffdf-4cdc-873d-36452f4b516f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07ce9ac4-ffdf-4cdc-873d-36452f4b516f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0011-05-01 10:30:00 ... 0013-05-...</div><input id='attrs-98647abc-736f-47f4-989c-41bc8564a238' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98647abc-736f-47f4-989c-41bc8564a238' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3fbcd33-a9f2-423e-9e21-3009c4068262' class='xr-var-data-in' type='checkbox'><label for='data-f3fbcd33-a9f2-423e-9e21-3009c4068262' title='Show/Hide data 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.Datetime360Day(11, 5, 1, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(11, 5, 2, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(11, 5, 3, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(11, 5, 4, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(11, 5, 5, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(13, 5, 6, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(13, 5, 7, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(13, 5, 8, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(13, 5, 9, 10, 30, 0, 0, has_year_zero=True),\n",
       "       cftime.Datetime360Day(13, 5, 10, 10, 30, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-bb57bf0f-0abd-41c0-a24d-79e6ee93b428' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb57bf0f-0abd-41c0-a24d-79e6ee93b428' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c948623-3cfe-4de0-9465-0418f19e8e10' class='xr-var-data-in' type='checkbox'><label for='data-9c948623-3cfe-4de0-9465-0418f19e8e10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>87.86 85.1 82.31 ... -85.1 -87.86</div><input id='attrs-6f313e52-d9e3-48f4-9717-c62c9f93c80c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f313e52-d9e3-48f4-9717-c62c9f93c80c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ba4583e-bc5f-4aca-86cd-df9aa387c78f' class='xr-var-data-in' type='checkbox'><label for='data-2ba4583e-bc5f-4aca-86cd-df9aa387c78f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 87.863799,  85.096527,  82.312913,  79.525607,  76.7369  ,  73.947515,\n",
       "        71.157752,  68.367756,  65.577607,  62.787352,  59.99702 ,  57.206632,\n",
       "        54.4162  ,  51.625734,  48.835241,  46.044727,  43.254195,  40.463648,\n",
       "        37.67309 ,  34.882521,  32.091944,  29.30136 ,  26.510769,  23.720174,\n",
       "        20.929574,  18.138971,  15.348365,  12.557756,   9.767146,   6.976534,\n",
       "         4.185921,   1.395307,  -1.395307,  -4.185921,  -6.976534,  -9.767146,\n",
       "       -12.557756, -15.348365, -18.138971, -20.929574, -23.720174, -26.510769,\n",
       "       -29.30136 , -32.091944, -34.882521, -37.67309 , -40.463648, -43.254195,\n",
       "       -46.044727, -48.835241, -51.625734, -54.4162  , -57.206632, -59.99702 ,\n",
       "       -62.787352, -65.577607, -68.367756, -71.157752, -73.947515, -76.7369  ,\n",
       "       -79.525607, -82.312913, -85.096527, -87.863799])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-239e5b20-1ed8-429f-bda0-781014c34b47' class='xr-section-summary-in' type='checkbox'  checked><label for='section-239e5b20-1ed8-429f-bda0-781014c34b47' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-05-01 00:00:00 ... 0001-05-...</div><input id='attrs-479a8fa7-9fca-46fd-b91b-2af2912ca1bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-479a8fa7-9fca-46fd-b91b-2af2912ca1bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c65efb4-29a7-4977-a06e-35cef8ce0014' class='xr-var-data-in' type='checkbox'><label for='data-3c65efb4-29a7-4977-a06e-35cef8ce0014' title='Show/Hide data 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.Datetime360Day(1, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 1, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 2, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 3, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 4, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 4, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 5, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 5, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 6, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 6, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 7, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 7, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 8, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 9, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 9, 21, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.Datetime360Day(1, 5, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.Datetime360Day(1, 5, 10, 21, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mrso</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.001 0.001</div><input id='attrs-86063d16-9528-40eb-adb1-14100132129e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86063d16-9528-40eb-adb1-14100132129e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7c94e60-c6f3-4c75-9bd9-1d26779a5b63' class='xr-var-data-in' type='checkbox'><label for='data-d7c94e60-c6f3-4c75-9bd9-1d26779a5b63' title='Show/Hide data 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>lwe_of_soil_moisture_content</dd><dt><span>long_name :</span></dt><dd>lwe_of_soil_moisture_content</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>code :</span></dt><dd>140</dd></dl></div><div class='xr-var-data'><pre>array([[[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000996, 0.000995, ..., 0.000998, 0.000994],\n",
       "        [0.001   , 0.001   , ..., 0.001   , 0.001   ]],\n",
       "\n",
       "       [[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000999, 0.000994, ..., 0.001   , 0.001   ],\n",
       "        [0.001   , 0.001   , ..., 0.001   , 0.001   ]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000997, 0.000997, ..., 0.000998, 0.000998],\n",
       "        [0.001   , 0.001   , ..., 0.000999, 0.001   ]],\n",
       "\n",
       "       [[0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        [0.      , 0.      , ..., 0.      , 0.      ],\n",
       "        ...,\n",
       "        [0.000999, 0.000999, ..., 0.000998, 0.000999],\n",
       "        [0.001   , 0.001   , ..., 0.001   , 0.001   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a490bdba-7a50-44c0-a648-185599273e13' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a490bdba-7a50-44c0-a648-185599273e13' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>Tue Feb 23 09:36:35 2021: cdo cat /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR1.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR2.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR3.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR4.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR5.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR6.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR7.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR8.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR9.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR10.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR11.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR12.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR13.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR14.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR15.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR16.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR17.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR18.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR19.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR20.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR21.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR22.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR23.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR24.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR25.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR26.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR27.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR28.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR29.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR30.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR31.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR32.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR33.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR34.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR35.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR36.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR37.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR38.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR39.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR40.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR41.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR42.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR43.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR44.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR45.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR46.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR47.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR48.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR49.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR50.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR51.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR52.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR53.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR54.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR55.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR56.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR57.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR58.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR59.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR60.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR61.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR62.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR63.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR64.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR65.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR66.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR67.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR68.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR69.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR70.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR71.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR72.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR73.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR74.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR75.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR76.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR77.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR78.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR79.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR80.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR81.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR82.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR83.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR84.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR85.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR86.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR87.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR88.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR89.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR90.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR91.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR92.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR93.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR94.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR95.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR96.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR97.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR98.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR99.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR100.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR1.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR2.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR3.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR4.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR5.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR6.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR7.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR8.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR9.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR10.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR11.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR12.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR13.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR14.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR15.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR16.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR17.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR18.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR19.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR20.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR21.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR22.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR23.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR24.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR25.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR26.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR27.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR28.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR29.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR30.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR31.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR32.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR33.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR34.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR35.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR36.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR37.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR38.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR39.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR40.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR41.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR42.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR43.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR44.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR45.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR46.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR47.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR48.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR49.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR50.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR51.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR52.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR53.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR54.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR55.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR56.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR57.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR58.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR59.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR60.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR61.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR62.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR63.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR64.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR65.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR66.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR67.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR68.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR69.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR70.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR71.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR72.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR73.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR74.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR75.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR76.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR77.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR78.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR79.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR80.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR81.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR82.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR83.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR84.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR85.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR86.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR87.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR88.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR89.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR90.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR91.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR92.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR93.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR94.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR95.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR96.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR97.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR98.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR99.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH2.YR100.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH3.YR1.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH3.YR2.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH3.YR3.mrso.nc 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/scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR6.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR7.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR8.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR9.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR10.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR11.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR12.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR13.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR14.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR15.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR16.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR17.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR18.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR19.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR20.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR21.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR22.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR23.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR24.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR25.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR26.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR27.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR28.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR29.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR30.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR31.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR32.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR33.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR34.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR35.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR36.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR37.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR38.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR39.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR40.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR41.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR42.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR43.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR44.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR45.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR46.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR47.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR48.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR49.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR50.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR51.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR52.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR53.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR54.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR55.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR56.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR57.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR58.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR59.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR60.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR61.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR62.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR63.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR64.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR65.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR66.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR67.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR68.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR69.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR70.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR71.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR72.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR73.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR74.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR75.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR76.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR77.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR78.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR79.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR80.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR81.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR82.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR83.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR84.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR85.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR86.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR87.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR88.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR89.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR90.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR91.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR92.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR93.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR94.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR95.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR96.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR97.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR98.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR99.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH10.YR100.mrso.nc /scratch/gmiloshe/PLASIM/test/mrso.nc\n",
       "Tue Feb 23 09:15:36 2021: cdo daymean /scratch/gmiloshe/PLASIM/test/BATCH1.YR1.mrso.nc /scratch/gmiloshe/PLASIM/test/DAY_BATCH1.YR1.mrso.nc\n",
       "Tue Feb 23 09:15:35 2021: cdo -O mergetime /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.05/CONTROL_BATCH0001_mrso.05.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.06/CONTROL_BATCH0001_mrso.06.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.07/CONTROL_BATCH0001_mrso.07.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.08/CONTROL_BATCH0001_mrso.08.0001.nc /scratch/gmiloshe/Climate/Data_Plasim/CONTROL_BATCH0001_mrso.09/CONTROL_BATCH0001_mrso.09.0001.nc /scratch/gmiloshe/PLASIM/test/BATCH1.YR1.mrso.nc\n",
       "Sat Aug 22 16:16:15 2020: cdo -select,name=mrso CONTROL_BATCH0001_misc.05.0001.nc CONTROL_BATCH0001_mrso.05.0001.nc\n",
       "Created by PumaBurner 7.4</dd><dt><span>title :</span></dt><dd>PUMA/PLASIM DATA</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 10, bnds: 2, lon: 128, lat: 64)\n",
       "Coordinates:\n",
       "  * time       (time) object 0011-05-01 10:30:00 ... 0013-05-10 10:30:00\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "  * lat        (lat) float64 87.86 85.1 82.31 79.53 ... -82.31 -85.1 -87.86\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 0001-05-01 00:00:00 ... 0001-05-10 21:00:00\n",
       "    mrso       (time, lat, lon) float32 0.0 0.0 0.0 ... 0.0009993 0.001 0.001\n",
       "Attributes:\n",
       "    CDI:          Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/...\n",
       "    Conventions:  CF-1.0\n",
       "    history:      Tue Feb 23 09:36:35 2021: cdo cat /scratch/gmiloshe/PLASIM/...\n",
       "    title:        PUMA/PLASIM DATA\n",
       "    frequency:    day\n",
       "    CDO:          Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/..."
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_time = []\n",
    "new_time.append(traslate(m.time[:5], 0))\n",
    "new_time.append(traslate(m.time[5:], 2))\n",
    "new_time = np.concatenate(new_time)\n",
    "\n",
    "m = m.assign_coords({'time': new_time})\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method assign in module xarray.core.dataset:\n",
      "\n",
      "assign(variables: Mapping[Any, Any] = None, **variables_kwargs: Hashable) -> 'Dataset' method of xarray.core.dataset.Dataset instance\n",
      "    Assign new data variables to a Dataset, returning a new object\n",
      "    with all the original variables in addition to the new ones.\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    variables : mapping of hashable to Any\n",
      "        Mapping from variables names to the new values. If the new values\n",
      "        are callable, they are computed on the Dataset and assigned to new\n",
      "        data variables. If the values are not callable, (e.g. a DataArray,\n",
      "        scalar, or array), they are simply assigned.\n",
      "    **variables_kwargs\n",
      "        The keyword arguments form of ``variables``.\n",
      "        One of variables or variables_kwargs must be provided.\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    ds : Dataset\n",
      "        A new Dataset with the new variables in addition to all the\n",
      "        existing variables.\n",
      "    \n",
      "    Notes\n",
      "    -----\n",
      "    Since ``kwargs`` is a dictionary, the order of your arguments may not\n",
      "    be preserved, and so the order of the new variables is not well\n",
      "    defined. Assigning multiple variables within the same ``assign`` is\n",
      "    possible, but you cannot reference other variables created within the\n",
      "    same ``assign`` call.\n",
      "    \n",
      "    See Also\n",
      "    --------\n",
      "    pandas.DataFrame.assign\n",
      "    \n",
      "    Examples\n",
      "    --------\n",
      "    >>> x = xr.Dataset(\n",
      "    ...     {\n",
      "    ...         \"temperature_c\": (\n",
      "    ...             (\"lat\", \"lon\"),\n",
      "    ...             20 * np.random.rand(4).reshape(2, 2),\n",
      "    ...         ),\n",
      "    ...         \"precipitation\": ((\"lat\", \"lon\"), np.random.rand(4).reshape(2, 2)),\n",
      "    ...     },\n",
      "    ...     coords={\"lat\": [10, 20], \"lon\": [150, 160]},\n",
      "    ... )\n",
      "    >>> x\n",
      "    <xarray.Dataset>\n",
      "    Dimensions:        (lat: 2, lon: 2)\n",
      "    Coordinates:\n",
      "      * lat            (lat) int64 10 20\n",
      "      * lon            (lon) int64 150 160\n",
      "    Data variables:\n",
      "        temperature_c  (lat, lon) float64 10.98 14.3 12.06 10.9\n",
      "        precipitation  (lat, lon) float64 0.4237 0.6459 0.4376 0.8918\n",
      "    \n",
      "    Where the value is a callable, evaluated on dataset:\n",
      "    \n",
      "    >>> x.assign(temperature_f=lambda x: x.temperature_c * 9 / 5 + 32)\n",
      "    <xarray.Dataset>\n",
      "    Dimensions:        (lat: 2, lon: 2)\n",
      "    Coordinates:\n",
      "      * lat            (lat) int64 10 20\n",
      "      * lon            (lon) int64 150 160\n",
      "    Data variables:\n",
      "        temperature_c  (lat, lon) float64 10.98 14.3 12.06 10.9\n",
      "        precipitation  (lat, lon) float64 0.4237 0.6459 0.4376 0.8918\n",
      "        temperature_f  (lat, lon) float64 51.76 57.75 53.7 51.62\n",
      "    \n",
      "    Alternatively, the same behavior can be achieved by directly referencing an existing dataarray:\n",
      "    \n",
      "    >>> x.assign(temperature_f=x[\"temperature_c\"] * 9 / 5 + 32)\n",
      "    <xarray.Dataset>\n",
      "    Dimensions:        (lat: 2, lon: 2)\n",
      "    Coordinates:\n",
      "      * lat            (lat) int64 10 20\n",
      "      * lon            (lon) int64 150 160\n",
      "    Data variables:\n",
      "        temperature_c  (lat, lon) float64 10.98 14.3 12.06 10.9\n",
      "        precipitation  (lat, lon) float64 0.4237 0.6459 0.4376 0.8918\n",
      "        temperature_f  (lat, lon) float64 51.76 57.75 53.7 51.62\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(m.assign)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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