{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 🎁 Wrapper for `wgrib2`\n",
    "\n",
    "Herbie provides a very basic wrapper for wgrib2. Note that the **wgrbi2** functionality requires **wgrib2** is in your path. Note that wgrib2 can only perform actions on _local_ GRIB2 files, not remote files.\n",
    "\n",
    "## Install wgrib2\n",
    "\n",
    "For Linux or Mac, the easiest way to install wgrib2 is installing from [conda-forge](https://anaconda.org/search?q=wgrib2). My preferred method is with [Pixi](https://pixi.sh/latest/):\n",
    "\n",
    "```bash\n",
    "pixi global install wgrib2\n",
    "```\n",
    "\n",
    "## Unofficial wgrib2 docs\n",
    "\n",
    "I attempted to re-publish [wgrib2 docs (unofficial)](https://wgrib2-docs.readthedocs.io/en/latest/) that may or may not be helpful to you."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from herbie import Herbie, wgrib2\n",
    "from pathlib import Path\n",
    "import pandas as pd\n",
    "\n",
    "import xarray as xr\n",
    "from herbie.toolbox import EasyMap, ccrs, pc"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets start by getting a GRIB2 file..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2023-Feb-01 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(PosixPath('/home/blaylock/data/hrrr/20230201/subset_d7ef391b__hrrr.t00z.wrfsfcf00.grib2'),\n",
       " True)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\"2023-02-01\")\n",
    "\n",
    "ss = \"[U|V]GRD:10 m above ground\"  # ss is for search\n",
    "H.download(ss)\n",
    "\n",
    "myFile = H.get_localFilePath(ss)\n",
    "myFile, myFile.exists()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can print the raw GRIB2 inventory from wgrib2 like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1:0:d=2023020100:UGRD:10 m above ground:anl:\n",
      "2:2381615:d=2023020100:VGRD:10 m above ground:anl:\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Print the standard inventory of a grib2 file\n",
    "print(wgrib2.inventory(myFile))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can create and save the `<filename>.grib2.idx` inventory text files like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(PosixPath('/home/blaylock/data/hrrr/20230201/subset_d7ef391b__hrrr.t00z.wrfsfcf00.grib2.idx'),\n",
       " True)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a standard inventory file\n",
    "\n",
    "idxFile = wgrib2.create_inventory_file(myFile)\n",
    "\n",
    "idxFile, idxFile.exists()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>d=2023020100</td>\n",
       "      <td>UGRD</td>\n",
       "      <td>10 m above ground</td>\n",
       "      <td>anl</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2381615</td>\n",
       "      <td>d=2023020100</td>\n",
       "      <td>VGRD</td>\n",
       "      <td>10 m above ground</td>\n",
       "      <td>anl</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   0        1             2     3                  4    5   6\n",
       "0  1        0  d=2023020100  UGRD  10 m above ground  anl NaN\n",
       "1  2  2381615  d=2023020100  VGRD  10 m above ground  anl NaN"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the index file (with pandas)\n",
    "pd.read_csv(idxFile, delimiter=\":\", header=None)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can check if the vector quantities are grid-relative or earth-relative vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All winds are grid-relative winds.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'winds(grid)'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wgrib2.vector_relative(myFile)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can create a regional subset of the file. This uses the `-small_grib` option to trim the GRIB2 file to a bounding box. This method will, by default, also make a cooresponding `.idx` file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PosixPath('/home/blaylock/data/hrrr/20230201/myRegion_subset_d7ef391b__hrrr.t00z.wrfsfcf00.grib2')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a regional subset of the file\n",
    "\n",
    "extent = (-100, -90, 30, 40)\n",
    "\n",
    "subset_file = wgrib2.region(myFile, extent, name=\"myRegion\")\n",
    "subset_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>d=2023020100</td>\n",
       "      <td>UGRD</td>\n",
       "      <td>10 m above ground</td>\n",
       "      <td>anl</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>78653</td>\n",
       "      <td>d=2023020100</td>\n",
       "      <td>VGRD</td>\n",
       "      <td>10 m above ground</td>\n",
       "      <td>anl</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   0      1             2     3                  4    5   6\n",
       "0  1      0  d=2023020100  UGRD  10 m above ground  anl NaN\n",
       "1  2  78653  d=2023020100  VGRD  10 m above ground  anl NaN"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Look at the inventory file again to see it is different from before the region subset\n",
    "pd.read_csv(str(subset_file) + \".idx\", delimiter=\":\", header=None)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at that data, just to make sure it handeled the subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(PosixPath('/home/blaylock/data/hrrr/20230201/subset_d7ef391b__hrrr.t00z.wrfsfcf00.grib2'),\n",
       " PosixPath('/home/blaylock/data/hrrr/20230201/myRegion_subset_d7ef391b__hrrr.t00z.wrfsfcf00.grib2'))"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myFile, subset_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/blaylock/GITHUB/Herbie/herbie/core.py:1052: UserWarning: Will not remove GRIB file because it previously existed.\n",
      "  warnings.warn(\"Will not remove GRIB file because it previously existed.\")\n"
     ]
    }
   ],
   "source": [
    "# Get crs from a regular Herbie object\n",
    "ds = H.xarray(ss)\n",
    "crs = ds.herbie.crs\n",
    "\n",
    "# (can't use Herbie to open FILE yet, so just use xarray)\n",
    "ds_region = xr.open_dataset(subset_file, engine=\"cfgrib\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.gridliner.Gridliner at 0x7f89f03461d0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = EasyMap(crs=crs).STATES(color=\"k\").ax\n",
    "ax.pcolormesh(ds.longitude, ds.latitude, ds.u10, alpha=0.5, transform=pc)\n",
    "ax.pcolormesh(ds_region.longitude, ds_region.latitude, ds_region.u10, transform=pc)\n",
    "\n",
    "ax.gridlines(xlocs=extent[:2], ylocs=extent[2:], color=\"k\", ls=\"--\", draw_labels=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well that is what we expected, so that is good."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-02-01\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 10.0\n",
       "    latitude             (y, x) float64 21.14 21.15 21.15 ... 47.86 47.85 47.84\n",
       "    longitude            (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
       "    valid_time           datetime64[ns] 2023-02-01\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    u10                  (y, x) float32 -4.17 -4.17 -4.17 ... 5.205 5.205 5.205\n",
       "    v10                  (y, x) float32 ...\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    model:                   hrrr\n",
       "    product:                 sfc\n",
       "    description:             High-Resolution Rapid Refresh - CONUS\n",
       "    remote_grib:             https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr....\n",
       "    local_grib:              /home/blaylock/data/hrrr/20230201/subset_d7ef391...\n",
       "    search:            [U|V]GRD:10 m above ground</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-ab8c1710-655b-4d04-b379-b468281b101b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ab8c1710-655b-4d04-b379-b468281b101b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 1059</li><li><span>x</span>: 1799</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4dc6b35d-3ac8-4ab7-bbbc-9f503e1fd9ef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4dc6b35d-3ac8-4ab7-bbbc-9f503e1fd9ef' 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'>2023-02-01</div><input id='attrs-f85173d4-f41c-49b2-b470-f85caa832038' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f85173d4-f41c-49b2-b470-f85caa832038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9345b334-2693-431c-9529-8c8b88f7f9ed' class='xr-var-data-in' type='checkbox'><label for='data-9345b334-2693-431c-9529-8c8b88f7f9ed' 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;2023-02-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</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'>00:00:00</div><input id='attrs-29ef73a6-6256-4b74-92a8-c595fe13f3eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29ef73a6-6256-4b74-92a8-c595fe13f3eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abbba6b9-b139-442c-acfe-dbf9144713c4' class='xr-var-data-in' type='checkbox'><label for='data-abbba6b9-b139-442c-acfe-dbf9144713c4' 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>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-e0702cc7-0f37-4588-931b-67cc22ca594d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0702cc7-0f37-4588-931b-67cc22ca594d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-437e6361-ce4c-48b5-9466-7b0c92495499' class='xr-var-data-in' type='checkbox'><label for='data-437e6361-ce4c-48b5-9466-7b0c92495499' 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>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.14 21.15 21.15 ... 47.85 47.84</div><input id='attrs-5449923f-a444-41c0-a709-40113a29c31d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5449923f-a444-41c0-a709-40113a29c31d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe38ae5f-7504-4e08-9f3c-818053bc7d60' class='xr-var-data-in' type='checkbox'><label for='data-fe38ae5f-7504-4e08-9f3c-818053bc7d60' 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></dl></div><div class='xr-var-data'><pre>array([[21.138123  , 21.14511004, 21.1520901 , ..., 21.1545089 ,\n",
       "        21.14753125, 21.14054663],\n",
       "       [21.16299459, 21.1699845 , 21.17696744, ..., 21.17938723,\n",
       "        21.1724067 , 21.16541921],\n",
       "       [21.18786863, 21.19486142, 21.20184723, ..., 21.20426802,\n",
       "        21.19728462, 21.19029425],\n",
       "       ...,\n",
       "       [47.78955926, 47.799849  , 47.81012868, ..., 47.81369093,\n",
       "        47.80341474, 47.79312849],\n",
       "       [47.81409316, 47.82438621, 47.8346692 , ..., 47.83823259,\n",
       "        47.8279531 , 47.81766354],\n",
       "       [47.8386235 , 47.84891986, 47.85920615, ..., 47.86277069,\n",
       "        47.85248789, 47.84219502]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>237.3 237.3 237.3 ... 299.0 299.1</div><input id='attrs-96a13429-4806-4d35-827f-8843f2a0195d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96a13429-4806-4d35-827f-8843f2a0195d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a465f40-05ac-4eb3-8387-cc73a214e724' class='xr-var-data-in' type='checkbox'><label for='data-1a465f40-05ac-4eb3-8387-cc73a214e724' 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([[237.280472  , 237.30713868, 237.3338097 , ..., 287.6569408 ,\n",
       "        287.68361332, 287.71028151],\n",
       "       [237.27297501, 237.29964881, 237.32632695, ..., 287.66442108,\n",
       "        287.69110073, 287.71777603],\n",
       "       [237.26547368, 237.2921546 , 237.31883986, ..., 287.6719057 ,\n",
       "        287.69859247, 287.7252749 ],\n",
       "       ...,\n",
       "       [225.9351904 , 225.97171577, 226.00825329, ..., 298.97907406,\n",
       "        299.0156158 , 299.05214538],\n",
       "       [225.91986142, 225.95639874, 225.99294822, ..., 298.99437498,\n",
       "        299.03092868, 299.06747022],\n",
       "       [225.90452027, 225.94106954, 225.97763099, ..., 299.00968806,\n",
       "        299.04625373, 299.08280723]])</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'>2023-02-01</div><input id='attrs-7e11ccf6-b27c-4283-92e8-b9afb39adaa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e11ccf6-b27c-4283-92e8-b9afb39adaa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25e8e38b-fc80-43a6-a857-2f9829d50b03' class='xr-var-data-in' type='checkbox'><label for='data-25e8e38b-fc80-43a6-a857-2f9829d50b03' 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;2023-02-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3cd2eab3-0d6c-4eec-a2ad-6a603c3e384e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3cd2eab3-0d6c-4eec-a2ad-6a603c3e384e' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.17 -4.17 -4.17 ... 5.205 5.205</div><input id='attrs-0ba5e4e6-5144-47b4-9a1b-07dfb5a4412d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ba5e4e6-5144-47b4-9a1b-07dfb5a4412d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dec64a42-033c-4dd2-a091-a34ff2ca5276' class='xr-var-data-in' type='checkbox'><label for='data-dec64a42-033c-4dd2-a091-a34ff2ca5276' 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>165</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</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>lambert</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_cfName :</span></dt><dd>eastward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_parameterName :</span></dt><dd>u-component of wind</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m s-1</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[-4.170021, -4.170021, -4.170021, ..., -7.295021, -7.232521, -7.170021],\n",
       "       [-4.232521, -4.232521, -4.232521, ..., -7.232521, -7.295021, -7.170021],\n",
       "       [-4.232521, -4.232521, -4.232521, ..., -7.107521, -7.170021, -7.045021],\n",
       "       ...,\n",
       "       [ 6.579979,  6.579979,  6.517479, ...,  4.829979,  4.579979,  4.767479],\n",
       "       [ 6.454979,  6.454979,  6.454979, ...,  5.017479,  4.767479,  4.829979],\n",
       "       [ 6.267479,  6.329979,  6.329979, ...,  5.204979,  5.204979,  5.204979]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8401c28f-7e72-4400-928d-fc9f4e9ddb15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8401c28f-7e72-4400-928d-fc9f4e9ddb15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1f17aeb-2e18-4239-9cce-e0bffe40c021' class='xr-var-data-in' type='checkbox'><label for='data-b1f17aeb-2e18-4239-9cce-e0bffe40c021' 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>166</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</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>lambert</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_cfName :</span></dt><dd>northward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138123</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.280472</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_parameterName :</span></dt><dd>v-component of wind</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>m s-1</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>[1905141 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-06c3cbfc-e9eb-458e-8cc3-f36600997473' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06c3cbfc-e9eb-458e-8cc3-f36600997473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38b6e3b3-7517-4648-bd34-8c1f4b1b3d94' class='xr-var-data-in' type='checkbox'><label for='data-38b6e3b3-7517-4648-bd34-8c1f4b1b3d94' 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>crs_wkt :</span></dt><dd>PROJCRS[&quot;unknown&quot;,BASEGEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]]],CONVERSION[&quot;unknown&quot;,METHOD[&quot;Lambert Conic Conformal (2SP)&quot;,ID[&quot;EPSG&quot;,9802]],PARAMETER[&quot;Latitude of false origin&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8821]],PARAMETER[&quot;Longitude of false origin&quot;,262.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8822]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Latitude of 2nd standard parallel&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8824]],PARAMETER[&quot;Easting at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8826]],PARAMETER[&quot;Northing at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8827]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>horizontal_datum_name :</span></dt><dd>unknown</dd><dt><span>projected_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>HRRR model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-529815ed-2d39-4ba7-a791-7e6bfe904692' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-529815ed-2d39-4ba7-a791-7e6bfe904692' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ecac06cb-0dfa-476d-858d-599f9300fbf1' class='xr-section-summary-in' type='checkbox'  ><label for='section-ecac06cb-0dfa-476d-858d-599f9300fbf1' class='xr-section-summary' >Attributes: <span>(12)</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>kwbc</dd><dt><span>GRIB_centreDescription :</span></dt><dd>US National Weather Service - NCEP</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>US National Weather Service - NCEP</dd><dt><span>model :</span></dt><dd>hrrr</dd><dt><span>product :</span></dt><dd>sfc</dd><dt><span>description :</span></dt><dd>High-Resolution Rapid Refresh - CONUS</dd><dt><span>remote_grib :</span></dt><dd>https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20230201/conus/hrrr.t00z.wrfsfcf00.grib2</dd><dt><span>local_grib :</span></dt><dd>/home/blaylock/data/hrrr/20230201/subset_d7ef391b__hrrr.t00z.wrfsfcf00.grib2</dd><dt><span>search :</span></dt><dd>[U|V]GRD:10 m above ground</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-02-01\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 10.0\n",
       "    latitude             (y, x) float64 21.14 21.15 21.15 ... 47.86 47.85 47.84\n",
       "    longitude            (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
       "    valid_time           datetime64[ns] 2023-02-01\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    u10                  (y, x) float32 -4.17 -4.17 -4.17 ... 5.205 5.205 5.205\n",
       "    v10                  (y, x) float32 ...\n",
       "    gribfile_projection  object None\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    model:                   hrrr\n",
       "    product:                 sfc\n",
       "    description:             High-Resolution Rapid Refresh - CONUS\n",
       "    remote_grib:             https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr....\n",
       "    local_grib:              /home/blaylock/data/hrrr/20230201/subset_d7ef391...\n",
       "    search:            [U|V]GRD:10 m above ground"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (y: 381, x: 324)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] ...\n",
       "    step               timedelta64[ns] ...\n",
       "    heightAboveGround  float64 ...\n",
       "    latitude           (y, x) float64 29.97 29.97 29.98 ... 39.92 39.92 39.92\n",
       "    longitude          (y, x) float64 260.0 260.1 260.1 ... 271.0 271.0 271.1\n",
       "    valid_time         datetime64[ns] ...\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    u10                (y, x) float32 -0.92 -0.8575 -1.108 ... 2.267 2.267 2.33\n",
       "    v10                (y, x) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    history:                 2023-03-11T14:45 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-eba80544-4d84-4343-83a8-61b53f0ff234' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eba80544-4d84-4343-83a8-61b53f0ff234' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 381</li><li><span>x</span>: 324</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f687cd27-7e46-44bf-871a-09b4b77a912f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f687cd27-7e46-44bf-871a-09b4b77a912f' 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-9d286be5-c178-4ec0-aefc-10e5aa3e41bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d286be5-c178-4ec0-aefc-10e5aa3e41bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b12bfadb-6904-4c64-b3d5-d79f1c21fe6a' class='xr-var-data-in' type='checkbox'><label for='data-b12bfadb-6904-4c64-b3d5-d79f1c21fe6a' 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-b6439b4b-f772-424a-9576-db7175ffcdb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6439b4b-f772-424a-9576-db7175ffcdb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9919c813-4a34-4709-8044-309f9bfb7833' class='xr-var-data-in' type='checkbox'><label for='data-9919c813-4a34-4709-8044-309f9bfb7833' 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>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5b8e2e3-7815-4734-9133-899ac2a16cc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5b8e2e3-7815-4734-9133-899ac2a16cc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c0c3358-21d9-4fc4-b4b9-bf567926b4cd' class='xr-var-data-in' type='checkbox'><label for='data-9c0c3358-21d9-4fc4-b4b9-bf567926b4cd' 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>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>29.97 29.97 29.98 ... 39.92 39.92</div><input id='attrs-75d7b3b1-b500-4d46-bedc-f6222d636c2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75d7b3b1-b500-4d46-bedc-f6222d636c2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efb3de5b-13fd-45cd-9ef9-5c2d1f025bb8' class='xr-var-data-in' type='checkbox'><label for='data-efb3de5b-13fd-45cd-9ef9-5c2d1f025bb8' 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></dl></div><div class='xr-var-data'><pre>array([[29.973713, 29.974425, 29.975128, ..., 29.743709, 29.74156 , 29.739402],\n",
       "       [30.000396, 30.001108, 30.001811, ..., 29.770299, 29.768149, 29.765991],\n",
       "       [30.02708 , 30.027792, 30.028496, ..., 29.796891, 29.794741, 29.792581],\n",
       "       ...,\n",
       "       [40.136462, 40.137286, 40.138099, ..., 39.870452, 39.867967, 39.865471],\n",
       "       [40.163417, 40.164241, 40.165054, ..., 39.897308, 39.894822, 39.892326],\n",
       "       [40.190371, 40.191195, 40.192009, ..., 39.924164, 39.921677, 39.91918 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>260.0 260.1 260.1 ... 271.0 271.1</div><input id='attrs-da7e8f97-9cb4-435d-ac82-cc602bd3503e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da7e8f97-9cb4-435d-ac82-cc602bd3503e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67174689-43ee-49fe-91cb-87490e9c199b' class='xr-var-data-in' type='checkbox'><label for='data-67174689-43ee-49fe-91cb-87490e9c199b' 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([[260.029372, 260.060174, 260.090976, ..., 269.907076, 269.9377  ,\n",
       "        269.968322],\n",
       "       [260.028545, 260.059357, 260.090169, ..., 269.909547, 269.940181,\n",
       "        269.970813],\n",
       "       [260.027717, 260.058539, 260.089362, ..., 269.91202 , 269.942663,\n",
       "        269.973305],\n",
       "       ...,\n",
       "       [259.671495, 259.706753, 259.742012, ..., 270.974965, 271.009957,\n",
       "        271.044945],\n",
       "       [259.670411, 259.705683, 259.740955, ..., 270.978198, 271.013202,\n",
       "        271.048204],\n",
       "       [259.669326, 259.704611, 259.739897, ..., 270.981433, 271.01645 ,\n",
       "        271.051466]])</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-f58c6316-99ad-45bf-aadd-a5f0bc459d6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f58c6316-99ad-45bf-aadd-a5f0bc459d6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb7a03d6-2d26-4b2e-8e15-49d674217f0b' class='xr-var-data-in' type='checkbox'><label for='data-eb7a03d6-2d26-4b2e-8e15-49d674217f0b' 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-41eb886a-bbf2-44f8-a022-d88edd88a71a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-41eb886a-bbf2-44f8-a022-d88edd88a71a' 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>u10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.92 -0.8575 -1.108 ... 2.267 2.33</div><input id='attrs-8e3a2c4e-e7ef-48d5-94e3-087c36aad7b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e3a2c4e-e7ef-48d5-94e3-087c36aad7b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b721f85a-ce09-4599-b5a9-338c80746708' class='xr-var-data-in' type='checkbox'><label for='data-b721f85a-ce09-4599-b5a9-338c80746708' 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>165</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>123444</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</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>lambert</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>324</dd><dt><span>GRIB_Ny :</span></dt><dd>381</dd><dt><span>GRIB_cfName :</span></dt><dd>eastward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>29.973713</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>260.029372</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre U wind component</dd><dt><span>GRIB_shortName :</span></dt><dd>10u</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd></dl></div><div class='xr-var-data'><pre>array([[-0.920021, -0.857521, -1.107521, ..., -1.357521, -1.295021, -0.982521],\n",
       "       [-0.982521, -0.857521, -0.982521, ..., -1.295021, -1.232521, -0.982521],\n",
       "       [-1.045021, -1.045021, -1.295021, ..., -1.295021, -1.232521, -1.107521],\n",
       "       ...,\n",
       "       [ 2.329979,  2.204979,  2.142479, ...,  2.267479,  2.142479,  1.954979],\n",
       "       [ 2.392479,  2.204979,  2.079979, ...,  2.267479,  2.142479,  2.079979],\n",
       "       [ 2.392479,  2.267479,  2.142479, ...,  2.267479,  2.267479,  2.329979]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1275c4a1-6c44-4978-9828-ded968ec212e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1275c4a1-6c44-4978-9828-ded968ec212e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebab295e-4c24-424a-b979-df26f651b7d0' class='xr-var-data-in' type='checkbox'><label for='data-ebab295e-4c24-424a-b979-df26f651b7d0' 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>166</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>123444</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</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>lambert</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>324</dd><dt><span>GRIB_Ny :</span></dt><dd>381</dd><dt><span>GRIB_cfName :</span></dt><dd>northward_wind</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>29.973713</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>260.029372</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd></dl></div><div class='xr-var-data'><pre>[123444 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a21cfba-b6c9-4530-89fe-902b464d94ac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a21cfba-b6c9-4530-89fe-902b464d94ac' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a851bc92-e3ee-4f69-8fa6-d5bf220f2a9f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a851bc92-e3ee-4f69-8fa6-d5bf220f2a9f' 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>kwbc</dd><dt><span>GRIB_centreDescription :</span></dt><dd>US National Weather Service - NCEP</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>US National Weather Service - NCEP</dd><dt><span>history :</span></dt><dd>2023-03-11T14:45 GRIB to CDM+CF via cfgrib-0.9.10.3/ecCodes-2.28.0 with {&quot;source&quot;: &quot;../../../../../data/hrrr/20230201/myRegion_subset_d7ef391b__hrrr.t00z.wrfsfcf00.grib2&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:            (y: 381, x: 324)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] ...\n",
       "    step               timedelta64[ns] ...\n",
       "    heightAboveGround  float64 ...\n",
       "    latitude           (y, x) float64 29.97 29.97 29.98 ... 39.92 39.92 39.92\n",
       "    longitude          (y, x) float64 260.0 260.1 260.1 ... 271.0 271.0 271.1\n",
       "    valid_time         datetime64[ns] ...\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    u10                (y, x) float32 -0.92 -0.8575 -1.108 ... 2.267 2.267 2.33\n",
       "    v10                (y, x) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             kwbc\n",
       "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             US National Weather Service - NCEP\n",
       "    history:                 2023-03-11T14:45 GRIB to CDM+CF via cfgrib-0.9.1..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_region"
   ]
  }
 ],
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