docs/examples/50-working-with-gribs.ipynb

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 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install --quiet climetlab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating a shared dataset of GRIBs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import climetlab as cml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download data to the climetlab cache"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for month in range(1, 13):  # This takes a few minutes.\n",
    "    cml.load_source(\n",
    "        \"mars\",\n",
    "        param=[\"2t\"],\n",
    "        levtype=\"sfc\",\n",
    "        area=[50, -50, 20, 50],\n",
    "        grid=[1, 1],\n",
    "        date=f\"2012-{month}\",\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cml.load_source(\n",
    "    \"mars\",\n",
    "    param=\"msl\",\n",
    "    levtype=\"sfc\",\n",
    "    area=[50, -50, 20, 50],\n",
    "    grid=[1, 1],\n",
    "    date=\"2012-12-01\",\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export the data to a shared directory\n",
    "\n",
    "This is optional, you could keep working on the data from the cache if you are the only user of the data and you do not mind redownloading it later.\n",
    "Other people should not use your cache:\n",
    "- When using climetlab the cache will eventually fills up and the data may be deleted automatically,\n",
    "- You will need to deal with permissions issues.\n",
    "- It will make it difficult to share the data with other people.\n",
    "\n",
    "Let us export the data to a shared directory `shared-data/temperature-for-analysis`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some housekeeping\n",
    "!rm -rf shared-data/temperature-for-analysis\n",
    "!mkdir -p shared-data/temperature-for-analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32mCopying cache entries matching 'mars' and newer than '2023-03-11 13:29:29' to shared-data/temperature-for-analysis.\u001b[0m\n",
      "100%|██████████████████████████████████████████| 13/13 [00:00<00:00, 367.98it/s]\n",
      "\u001b[32mCopied 13 cache entries to shared-data/temperature-for-analysis.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# export all data from my cache which is from mars and not older that 1 day\n",
    "!climetlab export_cache shared-data/temperature-for-analysis --newer 1h --match mars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create indexes to speed up data access when using it. (Optional)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!climetlab index_directory shared-data/temperature-for-analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!climetlab availability shared-data/temperature-for-analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using the data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA = \"shared-data/temperature-for-analysis\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "source = cml.load_source(\"indexed-directory\", DATA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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       "<hr><pre>class=od, domain=g, expver=0001, levtype=sfc, md5_grid_section=ce1bd075c48ae7a5bf34f4e47166e942, step=0, stream=oper, time=1200, type=an\n",
       "   date=20120101/to/20121231, param=2t\n",
       "   date=20121201, param=msl\n",
       "</pre><hr>"
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       "class=od, domain=g, expver=0001, levtype=sfc, md5_grid_section=ce1bd075c48ae7a5bf34f4e47166e942, step=0, stream=oper, time=1200, type=an\n",
       "   date=20120101/to/20121231, param=2t\n",
       "   date=20121201, param=msl"
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    "source.availability"
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   "source": [
    "This is a good time to check the data, is all the data here? Are they missing dates? Parameters?\n",
    "\n",
    "The data is ready to be used as numpy, tensorflow or xarray object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "101725.47522756307"
      ]
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     "execution_count": 11,
     "metadata": {},
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   ],
   "source": [
    "source.sel(param=\"msl\").to_numpy().mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "101725.47522756307"
      ]
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     "execution_count": 22,
     "metadata": {},
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   "source": [
    "cml.load_source(\"indexed-directory\", DATA, param=\"msl\").to_numpy().mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<PrefetchDataset element_spec=TensorSpec(shape=<unknown>, dtype=tf.float32, name=None)>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "temp = source.sel(param=\"2t\").order_by(\"date\")\n",
    "temp.to_tfdataset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (number: 1, time: 366, step: 1, surface: 1, latitude: 31,\n",
       "                 longitude: 101)\n",
       "Coordinates:\n",
       "  * number      (number) int64 0\n",
       "  * time        (time) datetime64[ns] 2012-01-01T12:00:00 ... 2012-12-31T12:0...\n",
       "  * step        (step) timedelta64[ns] 00:00:00\n",
       "  * surface     (surface) float64 0.0\n",
       "  * latitude    (latitude) float64 50.0 49.0 48.0 47.0 ... 23.0 22.0 21.0 20.0\n",
       "  * longitude   (longitude) float64 -50.0 -49.0 -48.0 -47.0 ... 48.0 49.0 50.0\n",
       "    valid_time  (time, step) datetime64[ns] 2012-01-01T12:00:00 ... 2012-12-3...\n",
       "Data variables:\n",
       "    t2m         (number, time, step, surface, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            1\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2023-03-11T14:35 GRIB to CDM+CF via cfgrib-0.9.1...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-324aaa45-9bb6-4853-8fe9-c55cfb7ab863' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-324aaa45-9bb6-4853-8fe9-c55cfb7ab863' 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'>number</span>: 1</li><li><span class='xr-has-index'>time</span>: 366</li><li><span class='xr-has-index'>step</span>: 1</li><li><span class='xr-has-index'>surface</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 31</li><li><span class='xr-has-index'>longitude</span>: 101</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4706539d-d175-429b-ad26-4fbf41ab9433' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4706539d-d175-429b-ad26-4fbf41ab9433' class='xr-section-summary' >Coordinates: <span>(7)</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'>number</span></div><div class='xr-var-dims'>(number)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-b00f8d14-e659-4e8e-bc8c-cc1066a85928' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b00f8d14-e659-4e8e-bc8c-cc1066a85928' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42aa8802-3681-4d74-9d28-50491d7c1198' class='xr-var-data-in' type='checkbox'><label for='data-42aa8802-3681-4d74-9d28-50491d7c1198' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><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'>2012-01-01T12:00:00 ... 2012-12-...</div><input id='attrs-852080e6-45f0-45d3-b168-64ddb8846c72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-852080e6-45f0-45d3-b168-64ddb8846c72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ca14a29-6e4b-4be7-a64e-7a42f5b07ce6' class='xr-var-data-in' type='checkbox'><label for='data-6ca14a29-6e4b-4be7-a64e-7a42f5b07ce6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-01-01T12:00:00.000000000&#x27;, &#x27;2012-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-01-03T12:00:00.000000000&#x27;, ..., &#x27;2012-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-12-30T12:00:00.000000000&#x27;, &#x27;2012-12-31T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-6c233d77-7487-4ca0-8cc2-91e507491cbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c233d77-7487-4ca0-8cc2-91e507491cbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bee1aec3-a6ea-42c6-97eb-19ca887eb30e' class='xr-var-data-in' type='checkbox'><label for='data-bee1aec3-a6ea-42c6-97eb-19ca887eb30e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array([0], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>surface</span></div><div class='xr-var-dims'>(surface)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-7c28122b-d697-4b51-875f-f26974742f6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c28122b-d697-4b51-875f-f26974742f6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-268883e4-3644-4351-b9bf-6649eb7df473' class='xr-var-data-in' type='checkbox'><label for='data-268883e4-3644-4351-b9bf-6649eb7df473' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0 49.0 48.0 ... 22.0 21.0 20.0</div><input id='attrs-734af4f0-b24f-477f-8318-70f050e2d32d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-734af4f0-b24f-477f-8318-70f050e2d32d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f034bda7-edba-4cfe-8597-46194fba0e3d' class='xr-var-data-in' type='checkbox'><label for='data-f034bda7-edba-4cfe-8597-46194fba0e3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([50., 49., 48., 47., 46., 45., 44., 43., 42., 41., 40., 39., 38., 37.,\n",
       "       36., 35., 34., 33., 32., 31., 30., 29., 28., 27., 26., 25., 24., 23.,\n",
       "       22., 21., 20.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-50.0 -49.0 -48.0 ... 49.0 50.0</div><input id='attrs-e8ea9a8c-5c73-45b8-aab9-d4b6279f59fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8ea9a8c-5c73-45b8-aab9-d4b6279f59fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92a3a350-8736-4db8-8a37-3355d5516e51' class='xr-var-data-in' type='checkbox'><label for='data-92a3a350-8736-4db8-8a37-3355d5516e51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-50., -49., -48., -47., -46., -45., -44., -43., -42., -41., -40., -39.,\n",
       "       -38., -37., -36., -35., -34., -33., -32., -31., -30., -29., -28., -27.,\n",
       "       -26., -25., -24., -23., -22., -21., -20., -19., -18., -17., -16., -15.,\n",
       "       -14., -13., -12., -11., -10.,  -9.,  -8.,  -7.,  -6.,  -5.,  -4.,  -3.,\n",
       "        -2.,  -1.,   0.,   1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,\n",
       "        10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,  18.,  19.,  20.,  21.,\n",
       "        22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.,  30.,  31.,  32.,  33.,\n",
       "        34.,  35.,  36.,  37.,  38.,  39.,  40.,  41.,  42.,  43.,  44.,  45.,\n",
       "        46.,  47.,  48.,  49.,  50.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(time, step)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27d3a6fd-2ab6-433c-a6d9-e48407cdf532' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27d3a6fd-2ab6-433c-a6d9-e48407cdf532' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c67309a-09c9-4356-8691-e2a08f58cd10' class='xr-var-data-in' type='checkbox'><label for='data-0c67309a-09c9-4356-8691-e2a08f58cd10' 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></dl></div><div class='xr-var-data'><pre>array([[&#x27;2012-01-01T12:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-01-02T12:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-01-03T12:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2012-12-29T12:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-12-30T12:00:00.000000000&#x27;],\n",
       "       [&#x27;2012-12-31T12:00:00.000000000&#x27;]], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b9d64d3-0900-4120-9b22-9dea4d440158' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b9d64d3-0900-4120-9b22-9dea4d440158' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(number, time, step, surface, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b02a5de4-9de2-4308-8633-7fbd8ddfebd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b02a5de4-9de2-4308-8633-7fbd8ddfebd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-562a8b29-3789-4da6-817c-cbd11beb6905' class='xr-var-data-in' type='checkbox'><label for='data-562a8b29-3789-4da6-817c-cbd11beb6905' 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>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>3131</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>101</dd><dt><span>GRIB_Ny :</span></dt><dd>31</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>50.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>20.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>-50.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>50.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>unknown</dd></dl></div><div class='xr-var-data'><pre>[1145946 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e1bdd60-b03e-41d7-a80d-e57fec0e6884' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0e1bdd60-b03e-41d7-a80d-e57fec0e6884' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>history :</span></dt><dd>2023-03-11T14:35 GRIB to CDM+CF via cfgrib-0.9.10.2/ecCodes-2.26.0 with {&quot;source&quot;: &quot;N/A&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (number: 1, time: 366, step: 1, surface: 1, latitude: 31,\n",
       "                 longitude: 101)\n",
       "Coordinates:\n",
       "  * number      (number) int64 0\n",
       "  * time        (time) datetime64[ns] 2012-01-01T12:00:00 ... 2012-12-31T12:0...\n",
       "  * step        (step) timedelta64[ns] 00:00:00\n",
       "  * surface     (surface) float64 0.0\n",
       "  * latitude    (latitude) float64 50.0 49.0 48.0 47.0 ... 23.0 22.0 21.0 20.0\n",
       "  * longitude   (longitude) float64 -50.0 -49.0 -48.0 -47.0 ... 48.0 49.0 50.0\n",
       "    valid_time  (time, step) datetime64[ns] ...\n",
       "Data variables:\n",
       "    t2m         (number, time, step, surface, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            1\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts\n",
       "    history:                 2023-03-11T14:35 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp.to_xarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<hr><pre>class=od, domain=g, expver=0001, levtype=sfc, md5_grid_section=ce1bd075c48ae7a5bf34f4e47166e942, step=0, stream=oper, time=1200, type=an\n",
       "   date=20120101/to/20121231, param=2t\n",
       "   date=20121201, param=msl\n",
       "</pre><hr>"
      ],
      "text/plain": [
       "class=od, domain=g, expver=0001, levtype=sfc, md5_grid_section=ce1bd075c48ae7a5bf34f4e47166e942, step=0, stream=oper, time=1200, type=an\n",
       "   date=20120101/to/20121231, param=2t\n",
       "   date=20121201, param=msl"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Note that this is wrong (not implemented yet)\n",
    "temp.availability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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