opencharts/ccsds.ipynb

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"
    }
   },
   "cell_type": "markdown",
   "id": "1d79abdb-18f2-4854-b482-215b866a8e49",
   "metadata": {},
   "source": [
    "![ECMWF_Master_Logo_RGB.png](attachment:f7b0801c-f593-4b71-ae2e-60e5f1f7d2c6.png)\n",
    "# CCSDS compression in ECMWF Real-time open data "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4202055-fcf5-4bd2-84d2-90eeceb827d0",
   "metadata": {},
   "source": [
    "In June 2023 ECMWF will update its IFS forecast model to 48r1 version. This is a major model change with several updates which are described [here](https://confluence.ecmwf.int/display/FCST/Implementation+of+IFS+Cycle+48r1).  \n",
    "\n",
    "With 48r1 all **gridded GRIB2 \"raw\"** data will use the [new CCSDS packing type](https://codes.ecmwf.int/grib/format/grib2/templates/5/42/). Since all data in [Open data dataset](https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A+real-time+forecasts) are GRIB2, this means that all open data will have the new packing. More about the CCSDS packing you can read in [ecCodes FAQ](https://confluence.ecmwf.int/pages/viewpage.action?pageId=146658047)\n",
    "\n",
    "In this notebook you will see how to download test data from 48r1 cycle and inspect the data.  \n",
    "With thelatest versions of ECMWF libraries ecCodes and metview, and community Python tools such as cfgrib and xarray users should see **no difference in their work** using ECMWF real-time open data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "506e4ab6-a33f-4fbe-b774-246dd25c01c0",
   "metadata": {},
   "source": [
    "## Libraries to work with GRIB data\n",
    "\n",
    "There are many tools to work with GRIB data. Here you will find how to inspect new ECMWF open data using [**Metview**](https://metview.readthedocs.io/en/latest/index.html) and [**xarray**](https://docs.xarray.dev/en/stable/).  \n",
    "To download open data we will use [**ecmwf.opendata**](https://github.com/ecmwf/ecmwf-opendata) Python library.  \n",
    "\n",
    "We will also use [**matplotlib**](https://matplotlib.org/) and [**cartopy**](https://scitools.org.uk/cartopy/docs/latest/index.html) to plot the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b5268eec-8750-4a13-84b6-8871d6da1b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ecmwf.opendata import Client\n",
    "\n",
    "import metview as mv\n",
    "\n",
    "import xarray as xr\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f03c3ba6-3fe1-4051-94b3-e1df94055799",
   "metadata": {},
   "source": [
    "## Download data\n",
    "\n",
    "To download current operational open forecast data, set source to '**ecmwf**', and for test (esuite) data, set the source to '**ecmwf-esuites**'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6f740901-1136-4270-a6e1-5db5f791523b",
   "metadata": {},
   "outputs": [],
   "source": [
    "client_o = Client(\"ecmwf\", beta=True)\n",
    "client_e = Client(\"ecmwf-esuites\", beta=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a677e6a-c733-4834-a6e5-ecca55cc7d45",
   "metadata": {},
   "source": [
    "Let's download something simple such as temperature and geopotential height at 500 and 850 hPa. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "528e4ae1-6285-42f0-b2be-1d77abdce87c",
   "metadata": {},
   "outputs": [],
   "source": [
    "parameters = ['gh', 't']\n",
    "filename_osuite = 'open_data_operational.grib'\n",
    "filename_esuite = 'open_data_esuite.grib'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e297ab8e-e746-4e9c-b04d-f3ec03a852c3",
   "metadata": {},
   "source": [
    "Test forecast is usually available a bit late, so just in case you are running this early in the morning, let's set the date parameter to yesterday.  \n",
    "First we download operational data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "95cbba61-668b-4c47-a263-3433fae3130f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "20230403000000-12h-oper-fc.grib2:   0%|          | 0.00/2.32M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ecmwf.opendata.client.Result at 0x7f9839e54b20>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client_o.retrieve(\n",
    "    date=-2,\n",
    "    time=0,\n",
    "    step=12,\n",
    "    stream=\"oper\",\n",
    "    type=\"fc\",\n",
    "    levtype=\"pl\",\n",
    "    levelist=[500,850],\n",
    "    param=parameters,\n",
    "    target=filename_osuite\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3382dbb-b285-4adb-ac12-e7de2a18fb49",
   "metadata": {},
   "source": [
    "And then the esuite test data.  \n",
    "Note that everything is the same except the file name and client that we used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "765e20b3-afbf-4695-89b8-d2c4d687dc5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "20230403000000-12h-oper-fc.grib2:   0%|          | 0.00/907k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ecmwf.opendata.client.Result at 0x7f9839eba3a0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client_e.retrieve(\n",
    "    date=-2,\n",
    "    time=0,\n",
    "    step=12,\n",
    "    stream=\"oper\",\n",
    "    type=\"fc\",\n",
    "    levtype=\"pl\",\n",
    "    levelist=[500,850],\n",
    "    param=parameters,\n",
    "    target=filename_esuite\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe0b9559-7c93-4f4c-b468-5e176de155fc",
   "metadata": {},
   "source": [
    "Let's check what we've downloaded.  \n",
    "Note the difference in size between operational and esuite data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c8bc90a2-e551-4bc5-906f-475ad54243a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-rw-r--r--  1 mamv  staff  2436184  5 Apr 16:02 open_data_operational.grib\n",
      "-rw-r--r--  1 mamv  staff   928534  5 Apr 16:02 open_data_esuite.grib\n"
     ]
    }
   ],
   "source": [
    "!ls -lrt open_data*.grib"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3511a9a7-7ef8-4976-ad40-abfa21325b2a",
   "metadata": {},
   "source": [
    "## Explore the data using Metview\n",
    "We can now see what is in the downloaded files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c734e2a5-d9a1-4b5d-a3fd-f47526b45da9",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_osuite = mv.read(filename_osuite)\n",
    "data_esuite = mv.read(filename_esuite)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e47c3e7-8a32-4b75-9501-01d8c845b781",
   "metadata": {},
   "source": [
    "Using Metview's **describe()** function we can see that we indeed have the same parameters on the same levels for the same date and step.   \n",
    "The only difference we see here is **experimentVersionNumber**. Typically, **001** represents the **operational version**, and **0078 next candidate for the operational version (esuite)**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ce18c26d-c90a-4b37-8064-8ebb8764c45c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "  \n",
       "                <table>\n",
       "                <tr><th>parameter</th><th>typeOfLevel</th><th>level</th><th>date</th><th>time</th><th>step</th><th>number</th><th>paramId</th><th>class</th><th>stream</th><th>type</th><th>experimentVersionNumber</th></tr>\n",
       "                <tr><th style='text-align: right;'>gh</th><td style='text-align: left;'>isobaricInhPa</td><td style='text-align: left;'>500,850</td><td style='text-align: left;'>20230403</td><td style='text-align: left;'>0</td><td style='text-align: left;'>12</td><td style='text-align: left;'>None</td><td style='text-align: left;'>156</td><td style='text-align: left;'>od</td><td style='text-align: left;'>oper</td><td style='text-align: left;'>fc</td><td style='text-align: left;'>0001</td></tr><tr><th style='text-align: right;'>t</th><td style='text-align: left;'>isobaricInhPa</td><td style='text-align: left;'>500,850</td><td style='text-align: left;'>20230403</td><td style='text-align: left;'>0</td><td style='text-align: left;'>12</td><td style='text-align: left;'>None</td><td style='text-align: left;'>130</td><td style='text-align: left;'>od</td><td style='text-align: left;'>oper</td><td style='text-align: left;'>fc</td><td style='text-align: left;'>0001</td></tr>\n",
       "                </table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_osuite.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6c90ca6c-62ea-4759-b584-6731f85ac7c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "  \n",
       "                <table>\n",
       "                <tr><th>parameter</th><th>typeOfLevel</th><th>level</th><th>date</th><th>time</th><th>step</th><th>number</th><th>paramId</th><th>class</th><th>stream</th><th>type</th><th>experimentVersionNumber</th></tr>\n",
       "                <tr><th style='text-align: right;'>gh</th><td style='text-align: left;'>isobaricInhPa</td><td style='text-align: left;'>500,850</td><td style='text-align: left;'>20230403</td><td style='text-align: left;'>0</td><td style='text-align: left;'>12</td><td style='text-align: left;'>None</td><td style='text-align: left;'>156</td><td style='text-align: left;'>od</td><td style='text-align: left;'>oper</td><td style='text-align: left;'>fc</td><td style='text-align: left;'>0078</td></tr><tr><th style='text-align: right;'>t</th><td style='text-align: left;'>isobaricInhPa</td><td style='text-align: left;'>500,850</td><td style='text-align: left;'>20230403</td><td style='text-align: left;'>0</td><td style='text-align: left;'>12</td><td style='text-align: left;'>None</td><td style='text-align: left;'>130</td><td style='text-align: left;'>od</td><td style='text-align: left;'>oper</td><td style='text-align: left;'>fc</td><td style='text-align: left;'>0078</td></tr>\n",
       "                </table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_esuite.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0920380a-ef9a-4a00-87b3-3986ee3e8832",
   "metadata": {},
   "source": [
    "We can also use Metview to check other GRIB metadata.  For this **grib_get()** function is very useful.  \n",
    "\n",
    "Lets check:\n",
    " - **editionNumber** - to make sure our data is GRIB2\n",
    " - **Ni and Nj** - number of points in x and y direction\n",
    " - **packingType** - we expect this to be the only different key between our two GRIB files  \n",
    " \n",
    " The results are given for each field in our fieldsets. We can see that indeed we have downloaded data in GRIB2 format and operational data has **grid_simple** packing, while new test data has **grid_ccsds** packing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "94fae56b-25a5-4757-9ca3-bfb765c7dd4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['gh', '2', '900', '451', 'regular_ll', 'grid_simple'],\n",
       " ['gh', '2', '900', '451', 'regular_ll', 'grid_simple'],\n",
       " ['t', '2', '900', '451', 'regular_ll', 'grid_simple'],\n",
       " ['t', '2', '900', '451', 'regular_ll', 'grid_simple']]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mv.grib_get(data_osuite, ['shortName', 'editionNumber', 'Ni', 'Nj', 'gridType', 'packingType'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d7bf4447-c335-40a5-9365-86035c8c919f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['gh', '2', '900', '451', 'regular_ll', 'grid_ccsds'],\n",
       " ['gh', '2', '900', '451', 'regular_ll', 'grid_ccsds'],\n",
       " ['t', '2', '900', '451', 'regular_ll', 'grid_ccsds'],\n",
       " ['t', '2', '900', '451', 'regular_ll', 'grid_ccsds']]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mv.grib_get(data_esuite, ['shortName', 'editionNumber', 'Ni', 'Nj', 'gridType', 'packingType'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aadc75de-3744-45a8-961e-6a46f585876d",
   "metadata": {},
   "source": [
    "## Convert to simple pakcing\n",
    "\n",
    "Converting between packings is simple using Metview as well. For this **grib_set()** function is handy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "70be53be-5c18-4554-9aac-ead77341739c",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_esuite_to_simple = mv.grib_set(data_esuite, [\"packingType\", \"grid_simple\"], repack=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbb7c5bf-93ed-42b1-a003-741db25bd39b",
   "metadata": {},
   "source": [
    "And to make sure it did what we wanted, let's check using grib_get() again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "de1b9907-61a7-419b-8150-1d64897ecf56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['grid_simple'], ['grid_simple'], ['grid_simple'], ['grid_simple']]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mv.grib_get(data_esuite_to_simple, ['packingType'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3ad3c72c-253a-4fa7-820a-fc5de09759c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "828.567138671875 828.567138671875\n"
     ]
    }
   ],
   "source": [
    "print(mv.minvalue(data_esuite_to_simple[0]), mv.minvalue(data_esuite[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "492b198e-01a0-4579-a00e-b161bf40ed08",
   "metadata": {},
   "source": [
    "Just to be sure, we can calculate the difference between the data in all the points and find maximum difference (for example in the first field).  \n",
    "This should be zero."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "09393378-d230-49be-9f8b-891220708047",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mv.maxvalue(mv.abs(data_esuite_to_simple[0] - data_esuite[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f31f180d-3ece-4aa6-bd1a-d8ac4758ac2d",
   "metadata": {},
   "source": [
    "## Plotting\n",
    "We can plot the data with simple and ccsds packing to make sure it all looks the same. We will use the same style."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "aaa33615-f30e-4562-b29b-65ad78b0c30d",
   "metadata": {},
   "outputs": [],
   "source": [
    "contours = mv.mcont(contour_automatic_setting='ecmwf', legend='on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fc521f6e-86f4-49bd-9eee-35fd2ac15a24",
   "metadata": {},
   "outputs": [],
   "source": [
    "t850_esuite = data_esuite.select(shortName='t', level=850)\n",
    "gh500_esuite = data_esuite.select(shortName='gh', level=500)/10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cc94502d-f1f5-46af-9a18-22458a8bf6bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8d647bbaa24a407580e59bfc5667461b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Image(value=b'', layout=\"Layout(visibility='hidden')\")"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5d26212db801412bb6e9bc49f2a3f925",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Label(value='Generating plots....')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mv.plot(t850_esuite,contours,gh500_esuite,contours)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9b0de780-8e4c-4858-a4ff-f3404f581a5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "t850_esuite_simple = data_esuite_to_simple.select(shortName='t', level=850)\n",
    "gh500_esuite_simple = data_esuite_to_simple.select(shortName='gh', level=500)/10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8a3521cb-3afe-4428-83fc-f7293952e481",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "62c0b787b9684d0ba50482f9393907de",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Image(value=b'', layout=\"Layout(visibility='hidden')\")"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b1d9af2117c04ff58ba772e3cbe511f4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Label(value='Generating plots....')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mv.plot(t850_esuite_simple,contours,gh500_esuite_simple,contours)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a3343b4-f7d6-43ad-9930-b3340a07098d",
   "metadata": {},
   "source": [
    "## Exploring the data using xarray and cfgrib"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fad61c9-3b07-4c8c-99ef-7df98b8d5e34",
   "metadata": {},
   "source": [
    "Using the latest version of cfgrib as the grib engine for xarray will ensure that ccsds compressed data works in xarray.  \n",
    "Here we explore same two files using xarray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f2831ba3-b1da-41c0-bba0-9350f4d00260",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:        (isobaricInhPa: 2, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time           datetime64[ns] ...\n",
       "    step           timedelta64[ns] ...\n",
       "  * isobaricInhPa  (isobaricInhPa) float64 850.0 500.0\n",
       "  * latitude       (latitude) float64 90.0 89.6 89.2 88.8 ... -89.2 -89.6 -90.0\n",
       "  * longitude      (longitude) float64 -180.0 -179.6 -179.2 ... 179.2 179.6\n",
       "    valid_time     datetime64[ns] ...\n",
       "Data variables:\n",
       "    gh             (isobaricInhPa, latitude, longitude) float32 ...\n",
       "    t              (isobaricInhPa, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\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:                 2023-04-05T16:04 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-d7bb1783-2613-4099-8314-f59a44d40181' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d7bb1783-2613-4099-8314-f59a44d40181' 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'>isobaricInhPa</span>: 2</li><li><span class='xr-has-index'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d87418c7-2aff-4e61-95a8-0d501639986b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d87418c7-2aff-4e61-95a8-0d501639986b' class='xr-section-summary' >Coordinates: <span>(6)</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</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b5b0352-7b6f-4661-975f-eb4166fce26d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b5b0352-7b6f-4661-975f-eb4166fce26d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfd35404-cfb1-45c8-a825-b43ab77cce2f' class='xr-var-data-in' type='checkbox'><label for='data-dfd35404-cfb1-45c8-a825-b43ab77cce2f' 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>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8acbc0c2-7464-42ff-bf76-60e768c0207c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8acbc0c2-7464-42ff-bf76-60e768c0207c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9196407-3a44-48d1-a093-1505a3ff1ef8' class='xr-var-data-in' type='checkbox'><label for='data-e9196407-3a44-48d1-a093-1505a3ff1ef8' 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>[1 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>isobaricInhPa</span></div><div class='xr-var-dims'>(isobaricInhPa)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>850.0 500.0</div><input id='attrs-41f2c108-458c-45c4-8262-e8f27e525633' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41f2c108-458c-45c4-8262-e8f27e525633' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3cdcbdd-f065-4d9b-8aee-48ec4268a64b' class='xr-var-data-in' type='checkbox'><label for='data-b3cdcbdd-f065-4d9b-8aee-48ec4268a64b' 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>pressure</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([850., 500.])</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'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-438dd274-3fa5-455c-90f6-7e9ceb09b811' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-438dd274-3fa5-455c-90f6-7e9ceb09b811' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90fd708e-053c-4a22-86cf-74ef76f77bea' class='xr-var-data-in' type='checkbox'><label for='data-90fd708e-053c-4a22-86cf-74ef76f77bea' 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([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-30a3dce4-71f9-4cdd-92a9-690726a5f659' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30a3dce4-71f9-4cdd-92a9-690726a5f659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8942017c-4229-4e2e-973e-4eb53a4dcefe' class='xr-var-data-in' type='checkbox'><label for='data-8942017c-4229-4e2e-973e-4eb53a4dcefe' 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([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7da84660-313e-4dff-863b-b90204a06075' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7da84660-313e-4dff-863b-b90204a06075' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c23573e8-17ed-4e56-b7ba-0f23289bceb3' class='xr-var-data-in' type='checkbox'><label for='data-c23573e8-17ed-4e56-b7ba-0f23289bceb3' 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>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb082e2c-e8d8-4b2b-97fe-64107998192f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb082e2c-e8d8-4b2b-97fe-64107998192f' 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>gh</span></div><div class='xr-var-dims'>(isobaricInhPa, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-287d325e-74ae-4c82-a0f1-28091474619a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-287d325e-74ae-4c82-a0f1-28091474619a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75f12994-3524-45cd-b985-b35a8293d243' class='xr-var-data-in' type='checkbox'><label for='data-75f12994-3524-45cd-b985-b35a8293d243' 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>156</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</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>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential_height</dd><dt><span>GRIB_cfVarName :</span></dt><dd>gh</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</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>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential height</dd><dt><span>GRIB_shortName :</span></dt><dd>gh</dd><dt><span>GRIB_units :</span></dt><dd>gpm</dd><dt><span>long_name :</span></dt><dd>Geopotential height</dd><dt><span>units :</span></dt><dd>gpm</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd></dl></div><div class='xr-var-data'><pre>[811800 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(isobaricInhPa, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a48416af-24ab-4482-9bcc-ad90bed4bc97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a48416af-24ab-4482-9bcc-ad90bed4bc97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-833bcf25-4cc6-4db9-beea-0e85eb665c3f' class='xr-var-data-in' type='checkbox'><label for='data-833bcf25-4cc6-4db9-beea-0e85eb665c3f' 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>130</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</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>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</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>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Temperature</dd><dt><span>GRIB_shortName :</span></dt><dd>t</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd></dl></div><div class='xr-var-data'><pre>[811800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75175afc-bd92-465a-81a5-4b2a2df137c7' class='xr-section-summary-in' type='checkbox'  ><label for='section-75175afc-bd92-465a-81a5-4b2a2df137c7' class='xr-section-summary' >Indexes: <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-index-name'><div>isobaricInhPa</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9f35f14d-852b-4671-ab75-d11bfb0b6ef0' class='xr-index-data-in' type='checkbox'/><label for='index-9f35f14d-852b-4671-ab75-d11bfb0b6ef0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([850.0, 500.0], dtype=&#x27;float64&#x27;, name=&#x27;isobaricInhPa&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6fd7d5a1-5d08-4a0a-9e0c-255854647282' class='xr-index-data-in' type='checkbox'/><label for='index-6fd7d5a1-5d08-4a0a-9e0c-255854647282' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              90.0,               89.6,  89.19999999999999,\n",
       "               88.79999999999998,  88.39999999999998,  87.99999999999997,\n",
       "               87.59999999999997,  87.19999999999996,  86.79999999999995,\n",
       "               86.39999999999995,\n",
       "              ...\n",
       "              -86.40000000000036, -86.80000000000037, -87.20000000000037,\n",
       "              -87.60000000000038, -88.00000000000038, -88.40000000000039,\n",
       "               -88.8000000000004,  -89.2000000000004,  -89.6000000000004,\n",
       "                           -90.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=451))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0745cacf-180b-4317-a986-da920a741c36' class='xr-index-data-in' type='checkbox'/><label for='index-0745cacf-180b-4317-a986-da920a741c36' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             -180.0,              -179.6,              -179.2,\n",
       "              -178.79999999999998, -178.39999999999998, -177.99999999999997,\n",
       "              -177.59999999999997, -177.19999999999996, -176.79999999999995,\n",
       "              -176.39999999999995,\n",
       "              ...\n",
       "                176.0000000000029,   176.4000000000029,   176.8000000000029,\n",
       "               177.20000000000292,  177.60000000000292,  178.00000000000293,\n",
       "               178.40000000000293,  178.80000000000294,  179.20000000000294,\n",
       "                            179.6],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=900))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6448ad6f-d8c8-4975-838c-b369a72461f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6448ad6f-d8c8-4975-838c-b369a72461f0' 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>2</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>2023-04-05T16:04 GRIB to CDM+CF via cfgrib-0.9.10.3/ecCodes-2.27.0 with {&quot;source&quot;: &quot;open_data_esuite.grib&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:        (isobaricInhPa: 2, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time           datetime64[ns] ...\n",
       "    step           timedelta64[ns] ...\n",
       "  * isobaricInhPa  (isobaricInhPa) float64 850.0 500.0\n",
       "  * latitude       (latitude) float64 90.0 89.6 89.2 88.8 ... -89.2 -89.6 -90.0\n",
       "  * longitude      (longitude) float64 -180.0 -179.6 -179.2 ... 179.2 179.6\n",
       "    valid_time     datetime64[ns] ...\n",
       "Data variables:\n",
       "    gh             (isobaricInhPa, latitude, longitude) float32 ...\n",
       "    t              (isobaricInhPa, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\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:                 2023-04-05T16:04 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_esuite = xr.open_dataset(filename_esuite, engine='cfgrib')\n",
    "ds_esuite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cabe1eb1-22e5-41c5-8a89-a70739c1ae89",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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:        (isobaricInhPa: 2, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time           datetime64[ns] ...\n",
       "    step           timedelta64[ns] ...\n",
       "  * isobaricInhPa  (isobaricInhPa) float64 850.0 500.0\n",
       "  * latitude       (latitude) float64 90.0 89.6 89.2 88.8 ... -89.2 -89.6 -90.0\n",
       "  * longitude      (longitude) float64 -180.0 -179.6 -179.2 ... 179.2 179.6\n",
       "    valid_time     datetime64[ns] ...\n",
       "Data variables:\n",
       "    gh             (isobaricInhPa, latitude, longitude) float32 ...\n",
       "    t              (isobaricInhPa, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\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:                 2023-04-05T16:04 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-fe290364-b566-472e-baa8-e5d5e6794b3d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe290364-b566-472e-baa8-e5d5e6794b3d' 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'>isobaricInhPa</span>: 2</li><li><span class='xr-has-index'>latitude</span>: 451</li><li><span class='xr-has-index'>longitude</span>: 900</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-82548793-9201-49d8-adbd-49bc0a08b5f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-82548793-9201-49d8-adbd-49bc0a08b5f1' class='xr-section-summary' >Coordinates: <span>(6)</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</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9581ce9d-db02-435c-92ef-916ec5e1f284' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9581ce9d-db02-435c-92ef-916ec5e1f284' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d935d84c-8285-4965-bec3-7016c6a092f9' class='xr-var-data-in' type='checkbox'><label for='data-d935d84c-8285-4965-bec3-7016c6a092f9' 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>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-114566b3-38ac-43ad-aa18-f1f7603bd404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-114566b3-38ac-43ad-aa18-f1f7603bd404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33c79743-5a6c-4f9f-961c-6a27fa06ebbf' class='xr-var-data-in' type='checkbox'><label for='data-33c79743-5a6c-4f9f-961c-6a27fa06ebbf' 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>[1 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>isobaricInhPa</span></div><div class='xr-var-dims'>(isobaricInhPa)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>850.0 500.0</div><input id='attrs-a78d25c4-79dc-4ff3-90e7-aef88c578741' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a78d25c4-79dc-4ff3-90e7-aef88c578741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cacaaab1-e0ea-4f8e-988c-2c92e6451861' class='xr-var-data-in' type='checkbox'><label for='data-cacaaab1-e0ea-4f8e-988c-2c92e6451861' 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>pressure</dd><dt><span>units :</span></dt><dd>hPa</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>standard_name :</span></dt><dd>air_pressure</dd></dl></div><div class='xr-var-data'><pre>array([850., 500.])</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'>90.0 89.6 89.2 ... -89.6 -90.0</div><input id='attrs-782ae99d-dcd7-4b42-9084-0c6beda9c072' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-782ae99d-dcd7-4b42-9084-0c6beda9c072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a0d3681-8f82-44d1-b60a-296b84c8d9d0' class='xr-var-data-in' type='checkbox'><label for='data-5a0d3681-8f82-44d1-b60a-296b84c8d9d0' 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([ 90. ,  89.6,  89.2, ..., -89.2, -89.6, -90. ])</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'>-180.0 -179.6 ... 179.2 179.6</div><input id='attrs-0cf5a23e-acf1-47a6-8231-b945b7c75665' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cf5a23e-acf1-47a6-8231-b945b7c75665' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5270a6c-3541-4f7c-850a-874ced0a32ab' class='xr-var-data-in' type='checkbox'><label for='data-d5270a6c-3541-4f7c-850a-874ced0a32ab' 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([-180. , -179.6, -179.2, ...,  178.8,  179.2,  179.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-776db552-5f53-4071-a41b-3f393e61b48a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-776db552-5f53-4071-a41b-3f393e61b48a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4d277b6-42be-451f-a2a4-84ed690351c6' class='xr-var-data-in' type='checkbox'><label for='data-b4d277b6-42be-451f-a2a4-84ed690351c6' 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>[1 values with dtype=datetime64[ns]]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aafc3971-65a1-46a4-8fc0-15f00a9b1559' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aafc3971-65a1-46a4-8fc0-15f00a9b1559' 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>gh</span></div><div class='xr-var-dims'>(isobaricInhPa, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e33b54e1-f7dd-40ce-b550-bc92ac51a1b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e33b54e1-f7dd-40ce-b550-bc92ac51a1b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a5ca017-79d0-441e-8db0-7ebe9f149053' class='xr-var-data-in' type='checkbox'><label for='data-0a5ca017-79d0-441e-8db0-7ebe9f149053' 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>156</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</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>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>geopotential_height</dd><dt><span>GRIB_cfVarName :</span></dt><dd>gh</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</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>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Geopotential height</dd><dt><span>GRIB_shortName :</span></dt><dd>gh</dd><dt><span>GRIB_units :</span></dt><dd>gpm</dd><dt><span>long_name :</span></dt><dd>Geopotential height</dd><dt><span>units :</span></dt><dd>gpm</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd></dl></div><div class='xr-var-data'><pre>[811800 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(isobaricInhPa, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1a2f11c-835f-49a2-be53-04943afc71cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1a2f11c-835f-49a2-be53-04943afc71cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5921b33a-7784-445f-8479-cd5c1d6ade6a' class='xr-var-data-in' type='checkbox'><label for='data-5921b33a-7784-445f-8479-cd5c1d6ade6a' 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>130</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>405900</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>isobaricInhPa</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>900</dd><dt><span>GRIB_Ny :</span></dt><dd>451</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.4</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.4</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>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>180.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>179.6</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Temperature</dd><dt><span>GRIB_shortName :</span></dt><dd>t</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd></dl></div><div class='xr-var-data'><pre>[811800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5bf3297a-d129-4014-8aff-1c01df9b1549' class='xr-section-summary-in' type='checkbox'  ><label for='section-5bf3297a-d129-4014-8aff-1c01df9b1549' class='xr-section-summary' >Indexes: <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-index-name'><div>isobaricInhPa</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fd858170-a734-412b-b68f-4ebcd7741bed' class='xr-index-data-in' type='checkbox'/><label for='index-fd858170-a734-412b-b68f-4ebcd7741bed' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([850.0, 500.0], dtype=&#x27;float64&#x27;, name=&#x27;isobaricInhPa&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-392c7747-b4d3-4f55-9a64-5e6b7bd20435' class='xr-index-data-in' type='checkbox'/><label for='index-392c7747-b4d3-4f55-9a64-5e6b7bd20435' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([              90.0,               89.6,  89.19999999999999,\n",
       "               88.79999999999998,  88.39999999999998,  87.99999999999997,\n",
       "               87.59999999999997,  87.19999999999996,  86.79999999999995,\n",
       "               86.39999999999995,\n",
       "              ...\n",
       "              -86.40000000000036, -86.80000000000037, -87.20000000000037,\n",
       "              -87.60000000000038, -88.00000000000038, -88.40000000000039,\n",
       "               -88.8000000000004,  -89.2000000000004,  -89.6000000000004,\n",
       "                           -90.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=451))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f0103d68-1701-45e6-ab49-6a12ee05b61d' class='xr-index-data-in' type='checkbox'/><label for='index-f0103d68-1701-45e6-ab49-6a12ee05b61d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             -180.0,              -179.6,              -179.2,\n",
       "              -178.79999999999998, -178.39999999999998, -177.99999999999997,\n",
       "              -177.59999999999997, -177.19999999999996, -176.79999999999995,\n",
       "              -176.39999999999995,\n",
       "              ...\n",
       "                176.0000000000029,   176.4000000000029,   176.8000000000029,\n",
       "               177.20000000000292,  177.60000000000292,  178.00000000000293,\n",
       "               178.40000000000293,  178.80000000000294,  179.20000000000294,\n",
       "                            179.6],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=900))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9a6ad82-44b4-462f-8d4f-0cb7eda48fae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9a6ad82-44b4-462f-8d4f-0cb7eda48fae' 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>2</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>2023-04-05T16:04 GRIB to CDM+CF via cfgrib-0.9.10.3/ecCodes-2.27.0 with {&quot;source&quot;: &quot;open_data_operational.grib&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:        (isobaricInhPa: 2, latitude: 451, longitude: 900)\n",
       "Coordinates:\n",
       "    time           datetime64[ns] ...\n",
       "    step           timedelta64[ns] ...\n",
       "  * isobaricInhPa  (isobaricInhPa) float64 850.0 500.0\n",
       "  * latitude       (latitude) float64 90.0 89.6 89.2 88.8 ... -89.2 -89.6 -90.0\n",
       "  * longitude      (longitude) float64 -180.0 -179.6 -179.2 ... 179.2 179.6\n",
       "    valid_time     datetime64[ns] ...\n",
       "Data variables:\n",
       "    gh             (isobaricInhPa, latitude, longitude) float32 ...\n",
       "    t              (isobaricInhPa, latitude, longitude) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\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:                 2023-04-05T16:04 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_osuite = xr.open_dataset(filename_osuite, engine='cfgrib')\n",
    "ds_osuite"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "781f96bc-de8f-447b-8319-672f0008c40a",
   "metadata": {},
   "source": [
    "And finally we can use matplotlib and cartopy to plot both operational and test data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4958e127-5356-4f20-991a-2286df634053",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_data_osuite = ds_osuite.t.sel(isobaricInhPa=850)-273.15\n",
    "projection = ccrs.Mercator()\n",
    "ax = plt.axes(projection=projection, frameon=False)\n",
    "ax.add_feature(cf.COASTLINE.with_scale(\"110m\"), lw=0.5)\n",
    "\n",
    "cbar_kwargs = {'orientation':'horizontal', 'shrink':0.6, \"pad\" : .05, 'aspect':30}\n",
    "my_data_osuite.plot.contourf(ax=ax, transform=ccrs.PlateCarree(), cbar_kwargs=cbar_kwargs, levels=101, cmap='turbo', vmin=-52, vmax=48)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "acf17688-a6f9-4fa2-9252-05207b243ae6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_data_esuite = ds_esuite.t.sel(isobaricInhPa=850)-273.15\n",
    "projection = ccrs.Mercator()\n",
    "ax = plt.axes(projection=projection, frameon=False)\n",
    "ax.add_feature(cf.COASTLINE.with_scale(\"110m\"), lw=0.5)\n",
    "\n",
    "cbar_kwargs = {'orientation':'horizontal', 'shrink':0.6, \"pad\" : .05, 'aspect':30}\n",
    "my_data_esuite.plot.contourf(ax=ax, transform=ccrs.PlateCarree(), cbar_kwargs=cbar_kwargs, levels=101, cmap='turbo', vmin=-52, vmax=48)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ccsds_env",
   "language": "python",
   "name": "ccsds_env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  },
  "toc-autonumbering": false,
  "toc-showcode": false,
  "toc-showmarkdowntxt": false
 },
 "nbformat": 4,
 "nbformat_minor": 5
}