{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction\n",
    "\n",
    "The most important aspect of Herbie is the **Herbie class** which represents a single model output file. When you create a **Herbie object**, Herbie looks for model data at different sources until the requested file is found.\n",
    "\n",
    "Herbie can discover data for many different models and sources, including: \n",
    "\n",
    "- [High Resolution Rapid Refresh (HRRR)](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/hrrr.html) and [HRRR-Alaska](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/hrrrak.html)\n",
    "- [Rapid Refresh (RAP)](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/rap.html)\n",
    "- [Global Forecast System (GFS)](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/gfs.html)\n",
    "- [Global Ensemble Forecast System (GEFS)](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/gefs.html)\n",
    "- [ECMWF Open Data Forecast Products](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/ecmwf.html)\n",
    "- [North American Mesoscale Model (NAM)](https://github.com/blaylockbk/Herbie/blob/main/docs/user_guide/_model_notebooks/nam.ipynb)\n",
    "- [National Blend of Models (NBM)](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/nbm.html)\n",
    "- [Rapid Refresh Forecast System - Prototype (RRFS)](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/rrfs.html)\n",
    "- [Real-Time/Un-Restricted Mesoscale Analysis (RTMA/URMA)](https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/rtma.html)\n",
    "\n",
    "This example shows how to create a Herbie object for the HRRR model `sfc` product and 6 hour forecast. The file was found an Amazon Web Services."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from herbie import Herbie"
   ]
  },
  {
   "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;13m2021-Jul-01 12:00 UTC\u001b[92m F06\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"
     ]
    }
   ],
   "source": [
    "H = Herbie(\n",
    "    \"2021-07-01 12:00\",  # model run date\n",
    "    model=\"hrrr\",  # model name\n",
    "    product=\"sfc\",  # model produce name (model dependent)\n",
    "    fxx=6,  # forecast lead time\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This Herbie object tells us the file we requested is located on Amazon Web Services (`aws`).\n",
    "We can get the specific file locations like this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20210701/conus/hrrr.t12z.wrfsfcf06.grib2'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Location of GRIB file\n",
    "H.grib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20210701/conus/hrrr.t12z.wrfsfcf06.grib2.idx'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Locatin of index file\n",
    "H.idx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Inventory data\n",
    "\n",
    "Herbie can read the GRIB `.idx` file and show us the file contents. Pay attention to the \"search_this\" column; this will help you locate data you want to get."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grib_message</th>\n",
       "      <th>start_byte</th>\n",
       "      <th>end_byte</th>\n",
       "      <th>range</th>\n",
       "      <th>reference_time</th>\n",
       "      <th>valid_time</th>\n",
       "      <th>variable</th>\n",
       "      <th>level</th>\n",
       "      <th>forecast_time</th>\n",
       "      <th>search_this</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>REFC</td>\n",
       "      <td>entire atmosphere</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:REFC:entire atmosphere:6 hour fcst</td>\n",
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       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>RETOP</td>\n",
       "      <td>cloud top</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:RETOP:cloud top:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>995058</td>\n",
       "      <td>1624938</td>\n",
       "      <td>995058-1624938</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>var discipline=0 center=7 local_table=1 parmca...</td>\n",
       "      <td>entire atmosphere</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:var discipline=0 center=7 local_table=1 parmc...</td>\n",
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       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1624938</td>\n",
       "      <td>2022954</td>\n",
       "      <td>1624938-2022954</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>VIL</td>\n",
       "      <td>entire atmosphere</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:VIL:entire atmosphere:6 hour fcst</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2022954</td>\n",
       "      <td>3506858</td>\n",
       "      <td>2022954-3506858</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>VIS</td>\n",
       "      <td>surface</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:VIS:surface:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>169</td>\n",
       "      <td>165391784</td>\n",
       "      <td>165392017</td>\n",
       "      <td>165391784-165392017</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>ICEC</td>\n",
       "      <td>surface</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:ICEC:surface:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>170</td>\n",
       "      <td>165392017</td>\n",
       "      <td>166943204</td>\n",
       "      <td>165392017-166943204</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>SBT123</td>\n",
       "      <td>top of atmosphere</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:SBT123:top of atmosphere:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>171</td>\n",
       "      <td>166943204</td>\n",
       "      <td>168748489</td>\n",
       "      <td>166943204-168748489</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>SBT124</td>\n",
       "      <td>top of atmosphere</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:SBT124:top of atmosphere:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>172</td>\n",
       "      <td>168748489</td>\n",
       "      <td>170183231</td>\n",
       "      <td>168748489-170183231</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>SBT113</td>\n",
       "      <td>top of atmosphere</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:SBT113:top of atmosphere:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>173</td>\n",
       "      <td>170183231</td>\n",
       "      <td></td>\n",
       "      <td>170183231-</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>SBT114</td>\n",
       "      <td>top of atmosphere</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:SBT114:top of atmosphere:6 hour fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>173 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     grib_message  start_byte   end_byte                range  \\\n",
       "0               1           0     732286             0-732286   \n",
       "1               2      732286     995058        732286-995058   \n",
       "2               3      995058    1624938       995058-1624938   \n",
       "3               4     1624938    2022954      1624938-2022954   \n",
       "4               5     2022954    3506858      2022954-3506858   \n",
       "..            ...         ...        ...                  ...   \n",
       "168           169   165391784  165392017  165391784-165392017   \n",
       "169           170   165392017  166943204  165392017-166943204   \n",
       "170           171   166943204  168748489  166943204-168748489   \n",
       "171           172   168748489  170183231  168748489-170183231   \n",
       "172           173   170183231                      170183231-   \n",
       "\n",
       "         reference_time          valid_time  \\\n",
       "0   2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "1   2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "2   2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "3   2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "4   2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "..                  ...                 ...   \n",
       "168 2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "169 2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "170 2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "171 2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "172 2021-07-01 12:00:00 2021-07-01 18:00:00   \n",
       "\n",
       "                                              variable              level  \\\n",
       "0                                                 REFC  entire atmosphere   \n",
       "1                                                RETOP          cloud top   \n",
       "2    var discipline=0 center=7 local_table=1 parmca...  entire atmosphere   \n",
       "3                                                  VIL  entire atmosphere   \n",
       "4                                                  VIS            surface   \n",
       "..                                                 ...                ...   \n",
       "168                                               ICEC            surface   \n",
       "169                                             SBT123  top of atmosphere   \n",
       "170                                             SBT124  top of atmosphere   \n",
       "171                                             SBT113  top of atmosphere   \n",
       "172                                             SBT114  top of atmosphere   \n",
       "\n",
       "    forecast_time                                        search_this  \n",
       "0     6 hour fcst                :REFC:entire atmosphere:6 hour fcst  \n",
       "1     6 hour fcst                       :RETOP:cloud top:6 hour fcst  \n",
       "2     6 hour fcst  :var discipline=0 center=7 local_table=1 parmc...  \n",
       "3     6 hour fcst                 :VIL:entire atmosphere:6 hour fcst  \n",
       "4     6 hour fcst                           :VIS:surface:6 hour fcst  \n",
       "..            ...                                                ...  \n",
       "168   6 hour fcst                          :ICEC:surface:6 hour fcst  \n",
       "169   6 hour fcst              :SBT123:top of atmosphere:6 hour fcst  \n",
       "170   6 hour fcst              :SBT124:top of atmosphere:6 hour fcst  \n",
       "171   6 hour fcst              :SBT113:top of atmosphere:6 hour fcst  \n",
       "172   6 hour fcst              :SBT114:top of atmosphere:6 hour fcst  \n",
       "\n",
       "[173 rows x 10 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.inventory()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To filter the data, we pass a regular expersion to the `searchString` argument to narrow down the data we are looking at."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>grib_message</th>\n",
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       "      <th>reference_time</th>\n",
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       "      <th>variable</th>\n",
       "      <th>level</th>\n",
       "      <th>forecast_time</th>\n",
       "      <th>search_this</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>58</td>\n",
       "      <td>36726771</td>\n",
       "      <td>36800624</td>\n",
       "      <td>36726771-36800624</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>LTPINX</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:LTPINX:2 m above ground:6 hour fcst</td>\n",
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       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>71</td>\n",
       "      <td>45923913</td>\n",
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       "      <td>45923913-47210721</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>TMP</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:TMP:2 m above ground:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>72</td>\n",
       "      <td>47210721</td>\n",
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       "      <td>47210721-48413736</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>POT</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:POT:2 m above ground:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>73</td>\n",
       "      <td>48413736</td>\n",
       "      <td>50096124</td>\n",
       "      <td>48413736-50096124</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>SPFH</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:SPFH:2 m above ground:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>74</td>\n",
       "      <td>50096124</td>\n",
       "      <td>51301645</td>\n",
       "      <td>50096124-51301645</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>DPT</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:DPT:2 m above ground:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>75</td>\n",
       "      <td>51301645</td>\n",
       "      <td>52912610</td>\n",
       "      <td>51301645-52912610</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>RH</td>\n",
       "      <td>2 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:RH:2 m above ground:6 hour fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    grib_message  start_byte  end_byte              range      reference_time  \\\n",
       "57            58    36726771  36800624  36726771-36800624 2021-07-01 12:00:00   \n",
       "70            71    45923913  47210721  45923913-47210721 2021-07-01 12:00:00   \n",
       "71            72    47210721  48413736  47210721-48413736 2021-07-01 12:00:00   \n",
       "72            73    48413736  50096124  48413736-50096124 2021-07-01 12:00:00   \n",
       "73            74    50096124  51301645  50096124-51301645 2021-07-01 12:00:00   \n",
       "74            75    51301645  52912610  51301645-52912610 2021-07-01 12:00:00   \n",
       "\n",
       "            valid_time variable             level forecast_time  \\\n",
       "57 2021-07-01 18:00:00   LTPINX  2 m above ground   6 hour fcst   \n",
       "70 2021-07-01 18:00:00      TMP  2 m above ground   6 hour fcst   \n",
       "71 2021-07-01 18:00:00      POT  2 m above ground   6 hour fcst   \n",
       "72 2021-07-01 18:00:00     SPFH  2 m above ground   6 hour fcst   \n",
       "73 2021-07-01 18:00:00      DPT  2 m above ground   6 hour fcst   \n",
       "74 2021-07-01 18:00:00       RH  2 m above ground   6 hour fcst   \n",
       "\n",
       "                             search_this  \n",
       "57  :LTPINX:2 m above ground:6 hour fcst  \n",
       "70     :TMP:2 m above ground:6 hour fcst  \n",
       "71     :POT:2 m above ground:6 hour fcst  \n",
       "72    :SPFH:2 m above ground:6 hour fcst  \n",
       "73     :DPT:2 m above ground:6 hour fcst  \n",
       "74      :RH:2 m above ground:6 hour fcst  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# All fields at 2-m above ground level\n",
    "H.inventory(searchString=\":2 m above ground\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grib_message</th>\n",
       "      <th>start_byte</th>\n",
       "      <th>end_byte</th>\n",
       "      <th>range</th>\n",
       "      <th>reference_time</th>\n",
       "      <th>valid_time</th>\n",
       "      <th>variable</th>\n",
       "      <th>level</th>\n",
       "      <th>forecast_time</th>\n",
       "      <th>search_this</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>8554318</td>\n",
       "      <td>9241381</td>\n",
       "      <td>8554318-9241381</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>HGT</td>\n",
       "      <td>500 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:HGT:500 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>9241381</td>\n",
       "      <td>9772736</td>\n",
       "      <td>9241381-9772736</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>TMP</td>\n",
       "      <td>500 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:TMP:500 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>9772736</td>\n",
       "      <td>10740730</td>\n",
       "      <td>9772736-10740730</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>DPT</td>\n",
       "      <td>500 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:DPT:500 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>10740730</td>\n",
       "      <td>11334832</td>\n",
       "      <td>10740730-11334832</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>UGRD</td>\n",
       "      <td>500 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:UGRD:500 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>11334832</td>\n",
       "      <td>11929655</td>\n",
       "      <td>11334832-11929655</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>VGRD</td>\n",
       "      <td>500 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:VGRD:500 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    grib_message  start_byte  end_byte              range      reference_time  \\\n",
       "13            14     8554318   9241381    8554318-9241381 2021-07-01 12:00:00   \n",
       "14            15     9241381   9772736    9241381-9772736 2021-07-01 12:00:00   \n",
       "15            16     9772736  10740730   9772736-10740730 2021-07-01 12:00:00   \n",
       "16            17    10740730  11334832  10740730-11334832 2021-07-01 12:00:00   \n",
       "17            18    11334832  11929655  11334832-11929655 2021-07-01 12:00:00   \n",
       "\n",
       "            valid_time variable   level forecast_time  \\\n",
       "13 2021-07-01 18:00:00      HGT  500 mb   6 hour fcst   \n",
       "14 2021-07-01 18:00:00      TMP  500 mb   6 hour fcst   \n",
       "15 2021-07-01 18:00:00      DPT  500 mb   6 hour fcst   \n",
       "16 2021-07-01 18:00:00     UGRD  500 mb   6 hour fcst   \n",
       "17 2021-07-01 18:00:00     VGRD  500 mb   6 hour fcst   \n",
       "\n",
       "                 search_this  \n",
       "13   :HGT:500 mb:6 hour fcst  \n",
       "14   :TMP:500 mb:6 hour fcst  \n",
       "15   :DPT:500 mb:6 hour fcst  \n",
       "16  :UGRD:500 mb:6 hour fcst  \n",
       "17  :VGRD:500 mb:6 hour fcst  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# All fields at 500 hPa\n",
    "H.inventory(searchString=\":500 mb:\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grib_message</th>\n",
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       "      <th>end_byte</th>\n",
       "      <th>range</th>\n",
       "      <th>reference_time</th>\n",
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       "      <th>variable</th>\n",
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       "      <th>search_this</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>77</td>\n",
       "      <td>53199960</td>\n",
       "      <td>55581575</td>\n",
       "      <td>53199960-55581575</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>UGRD</td>\n",
       "      <td>10 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:UGRD:10 m above ground:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>78</td>\n",
       "      <td>55581575</td>\n",
       "      <td>57963190</td>\n",
       "      <td>55581575-57963190</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>VGRD</td>\n",
       "      <td>10 m above ground</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:VGRD:10 m above ground:6 hour fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    grib_message  start_byte  end_byte              range      reference_time  \\\n",
       "76            77    53199960  55581575  53199960-55581575 2021-07-01 12:00:00   \n",
       "77            78    55581575  57963190  55581575-57963190 2021-07-01 12:00:00   \n",
       "\n",
       "            valid_time variable              level forecast_time  \\\n",
       "76 2021-07-01 18:00:00     UGRD  10 m above ground   6 hour fcst   \n",
       "77 2021-07-01 18:00:00     VGRD  10 m above ground   6 hour fcst   \n",
       "\n",
       "                            search_this  \n",
       "76  :UGRD:10 m above ground:6 hour fcst  \n",
       "77  :VGRD:10 m above ground:6 hour fcst  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# U and V wind at 10-m above ground\n",
    "H.inventory(\"(?:U|V)GRD:10 m\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>10740730</td>\n",
       "      <td>11334832</td>\n",
       "      <td>10740730-11334832</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>UGRD</td>\n",
       "      <td>500 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:UGRD:500 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>11334832</td>\n",
       "      <td>11929655</td>\n",
       "      <td>11334832-11929655</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>VGRD</td>\n",
       "      <td>500 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:VGRD:500 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>18875970</td>\n",
       "      <td>19498869</td>\n",
       "      <td>18875970-19498869</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>UGRD</td>\n",
       "      <td>850 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:UGRD:850 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>19498869</td>\n",
       "      <td>20112882</td>\n",
       "      <td>19498869-20112882</td>\n",
       "      <td>2021-07-01 12:00:00</td>\n",
       "      <td>2021-07-01 18:00:00</td>\n",
       "      <td>VGRD</td>\n",
       "      <td>850 mb</td>\n",
       "      <td>6 hour fcst</td>\n",
       "      <td>:VGRD:850 mb:6 hour fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    grib_message  start_byte  end_byte              range      reference_time  \\\n",
       "16            17    10740730  11334832  10740730-11334832 2021-07-01 12:00:00   \n",
       "17            18    11334832  11929655  11334832-11929655 2021-07-01 12:00:00   \n",
       "27            28    18875970  19498869  18875970-19498869 2021-07-01 12:00:00   \n",
       "28            29    19498869  20112882  19498869-20112882 2021-07-01 12:00:00   \n",
       "\n",
       "            valid_time variable   level forecast_time  \\\n",
       "16 2021-07-01 18:00:00     UGRD  500 mb   6 hour fcst   \n",
       "17 2021-07-01 18:00:00     VGRD  500 mb   6 hour fcst   \n",
       "27 2021-07-01 18:00:00     UGRD  850 mb   6 hour fcst   \n",
       "28 2021-07-01 18:00:00     VGRD  850 mb   6 hour fcst   \n",
       "\n",
       "                 search_this  \n",
       "16  :UGRD:500 mb:6 hour fcst  \n",
       "17  :VGRD:500 mb:6 hour fcst  \n",
       "27  :UGRD:850 mb:6 hour fcst  \n",
       "28  :VGRD:850 mb:6 hour fcst  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Winds at 500 and 800 hPa\n",
    "H.inventory(\"[U|V]GRD:[8|5][0|5]0 mb\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This ability to filter the GRIB messages is powerful, because it can also help you download subsets of the data. Here are some other useful examples.\n",
    "\n",
    "`searchString=`|GRIB messages that will be downloaded\n",
    "--|--\n",
    "`\":TMP:2 m\"`|Temperature at 2 m.\n",
    "`\":TMP:\"`|Temperature fields at all levels.\n",
    "`\":UGRD:\\d+ mb\"`|U Wind at all pressure levels.\n",
    "`\":500 mb:\"`|All variables on the 500 mb level.\n",
    "`\":APCP:\"`|All accumulated precipitation fields.\n",
    "`\":APCP:surface:0-[1-9]*\"`|Accumulated precip since initialization time\n",
    "`\":APCP:.*:(?:0-1\\|[1-9]\\d*-\\d+) hour\"`|Accumulated precip over last hour\n",
    "`\":UGRD:10 m\"`|U wind component at 10 meters.\n",
    "`\":[U\\|V]GRD:[1,8]0 m\"` |U and V wind component at 10 and 80 m.\n",
    "`\":[U\\|V]GRD:\"` |U and V wind component at all levels.\n",
    "`\":.GRD:\"`|(Same as above)\n",
    "`\":[U\\|V]GRD:\\d+ hybrid\"` |U and V wind components at all hybrid levels\n",
    "`\":[U\\|V]GRD:\\d+ mb\"` |U and V wind components at all pressure levels\n",
    "`\":(?:TMP\\|DPT):\"`|Temperature and Dew Point for all levels .\n",
    "`\":(?:TMP\\|DPT\\|RH):\"`|TMP, DPT, and Relative Humidity for all levels.\n",
    "`\":REFC:\"`|Composite Reflectivity\n",
    "`\":surface:\"`|All variables at the surface.\n",
    "`\"^TMP:2 m.*fcst$\"`|Beginning of string (^), end of string ($) wildcard (.*)\n",
    "\n",
    "If you need help with regular expression, search the web\n",
    "or look at this [cheatsheet](https://www.petefreitag.com/cheatsheets/regex/).\n",
    "\n",
    "## Read data with xarray\n",
    "\n",
    "> Note: You should *always* subset the file before reading it with xarray else you will likely load too much data into memory.\n",
    "\n",
    "> Note: If you request data on conflicting levels (e.g., 2-m above ground and 500 mb), cfgrib will return the data as a list of datasets where each dataset is a compatible hypercube.\n",
    "\n",
    "Let's download the 2-m Temperature and 2-m Relative Humidity fields, and read them with xarray."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "👨🏻‍🏭 Created directory: [C:\\Users\\blaylock\\data\\hrrr\\20210701]\n"
     ]
    }
   ],
   "source": [
    "ds = H.xarray(\":(?:TMP|RH):2 m\", remove_grib=False)\n",
    "\n",
    "# Note: I set remove_grib=False because I didn't want to\n",
    "# delete the GRIB file after I read it with xarray. By\n",
    "# default, Herbie will remove the downloaded GRIB subset\n",
    "# after it reads it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
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       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* 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:              (y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2021-07-01T12:00:00\n",
       "    step                 timedelta64[ns] 06:00:00\n",
       "    heightAboveGround    float64 2.0\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] 2021-07-01T18:00:00\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 ...\n",
       "    r2                   (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:              C:\\Users\\blaylock\\data\\hrrr\\20210701\\subset_e7b2...\n",
       "    searchString:            :(?:TMP|RH):2 m</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-647f22ea-bfbe-4822-8386-cf7055f12c2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-647f22ea-bfbe-4822-8386-cf7055f12c2f' 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-ab283b98-e11a-4afe-83ea-b82c18648f51' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab283b98-e11a-4afe-83ea-b82c18648f51' 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'>2021-07-01T12:00:00</div><input id='attrs-fcbb01e9-611d-4c42-8b44-8ccc7ba98ed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcbb01e9-611d-4c42-8b44-8ccc7ba98ed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7671bf7c-da37-4cbd-b221-a484e7c525b3' class='xr-var-data-in' type='checkbox'><label for='data-7671bf7c-da37-4cbd-b221-a484e7c525b3' 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;2021-07-01T12:00:00.000000000&#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'>06:00:00</div><input id='attrs-45b0a61b-c61c-4d78-9f90-d3471fb9cd66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45b0a61b-c61c-4d78-9f90-d3471fb9cd66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be5c06b0-e4ee-404a-9310-7c3d9cb06015' class='xr-var-data-in' type='checkbox'><label for='data-be5c06b0-e4ee-404a-9310-7c3d9cb06015' 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(21600000000000, 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'>2.0</div><input id='attrs-3f7f75e5-427c-47c0-a2b5-57f18b3223e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f7f75e5-427c-47c0-a2b5-57f18b3223e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02f42ec8-4cfe-4905-8efe-7012600488d9' class='xr-var-data-in' type='checkbox'><label for='data-02f42ec8-4cfe-4905-8efe-7012600488d9' 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(2.)</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-c727ce2b-1246-44e3-97b2-2e6031419d3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c727ce2b-1246-44e3-97b2-2e6031419d3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59133dc8-7372-471e-b895-58228db19c07' class='xr-var-data-in' type='checkbox'><label for='data-59133dc8-7372-471e-b895-58228db19c07' 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-b411e1b4-3745-4b65-8c51-bbfd10345fb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b411e1b4-3745-4b65-8c51-bbfd10345fb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e971b4e7-792f-4863-87a4-e3e7e9261dc5' class='xr-var-data-in' type='checkbox'><label for='data-e971b4e7-792f-4863-87a4-e3e7e9261dc5' 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'>2021-07-01T18:00:00</div><input id='attrs-f01b2971-466b-4eec-a7b7-6170992550a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f01b2971-466b-4eec-a7b7-6170992550a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0ae71ef-6005-4c47-b4a2-1374dd2e105f' class='xr-var-data-in' type='checkbox'><label for='data-d0ae71ef-6005-4c47-b4a2-1374dd2e105f' 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;2021-07-01T18:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-211d00b3-c2a9-49a6-87e0-9b685f01275d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-211d00b3-c2a9-49a6-87e0-9b685f01275d' 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>t2m</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-2a3185a1-a54d-40a2-acf7-f7de6a8ca4c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a3185a1-a54d-40a2-acf7-f7de6a8ca4c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-435ecb0b-616a-4fec-99de-664f31aedc53' class='xr-var-data-in' type='checkbox'><label for='data-435ecb0b-616a-4fec-99de-664f31aedc53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_dataType :</span></dt><dd>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>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</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>2 metre temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepRange :</span></dt><dd>6</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</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>r2</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-cb506332-3333-4e29-917a-db59f59d5ae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb506332-3333-4e29-917a-db59f59d5ae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b5d18c-8b3d-4625-88d8-4a6c23005d56' class='xr-var-data-in' type='checkbox'><label for='data-f5b5d18c-8b3d-4625-88d8-4a6c23005d56' 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>260242</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>relative_humidity</dd><dt><span>GRIB_cfVarName :</span></dt><dd>r2</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>2 metre relative humidity</dd><dt><span>GRIB_parameterName :</span></dt><dd>Relative humidity</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>%</dd><dt><span>GRIB_shortName :</span></dt><dd>2r</dd><dt><span>GRIB_stepRange :</span></dt><dd>6</dd><dt><span>GRIB_units :</span></dt><dd>%</dd><dt><span>long_name :</span></dt><dd>2 metre relative humidity</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</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-3d66f6e1-8e44-4c6d-ae77-9e2a13856ed4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d66f6e1-8e44-4c6d-ae77-9e2a13856ed4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99a7b492-7a80-495a-a7a6-737d05d8304f' class='xr-var-data-in' type='checkbox'><label for='data-99a7b492-7a80-495a-a7a6-737d05d8304f' 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-9129af34-2346-4146-83f3-90b4aa89fc2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9129af34-2346-4146-83f3-90b4aa89fc2f' 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-dcefc993-6906-49d3-b57d-69004859cafd' class='xr-section-summary-in' type='checkbox'  ><label for='section-dcefc993-6906-49d3-b57d-69004859cafd' 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.20210701/conus/hrrr.t12z.wrfsfcf06.grib2</dd><dt><span>local_grib :</span></dt><dd>C:\\Users\\blaylock\\data\\hrrr\\20210701\\subset_e7b2db67__hrrr.t12z.wrfsfcf06.grib2</dd><dt><span>searchString :</span></dt><dd>:(?:TMP|RH):2 m</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2021-07-01T12:00:00\n",
       "    step                 timedelta64[ns] 06:00:00\n",
       "    heightAboveGround    float64 2.0\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] 2021-07-01T18:00:00\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 ...\n",
       "    r2                   (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:              C:\\Users\\blaylock\\data\\hrrr\\20210701\\subset_e7b2...\n",
       "    searchString:            :(?:TMP|RH):2 m"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2581c091930>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.t2m.plot()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I won't go into detail here about plotting this data on a map, but check out some Cartopy and Metpy tutorials."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading Data\n",
    "\n",
    "You don't have to use the xarray method to get the data. Maybe you have another tool you like for reading GRIB data. You can still use Herbie to download the full file or a subset of the file locally.\n",
    "\n",
    "> Hopefully you have a good internet connection, some files are large."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2022-Jan-01 06:00 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",
      "👨🏻‍🏭 Created directory: [C:\\Users\\blaylock\\data\\hrrr\\20220101]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "WindowsPath('C:/Users/blaylock/data/hrrr/20220101/hrrr.t06z.wrfsfcf00.grib2')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Download a full file\n",
    "H = Herbie(\"2022-01-01 06\", fxx=0)\n",
    "H.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2022-Jan-01 06:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ local\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n",
      "📇 Download subset: \u001b[48;2;255;255;255m\u001b[38;2;136;33;27m▌\u001b[0m\u001b[38;2;12;53;118m\u001b[48;2;240;234;210m▌\u001b[38;2;0;0;0m\u001b[1mHerbie\u001b[0m HRRR model \u001b[3msfc\u001b[0m product initialized \u001b[38;2;41;130;13m2022-Jan-01 06:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=local\u001b[0m                                                            \n",
      " cURL from file://C:\\Users\\blaylock\\data\\hrrr\\20220101\\hrrr.t06z.wrfsfcf00.grib2\n",
      "  58  \u001b[38;2;255;153;0m:var discipline=0 master_table=2 parmcat=17 parm=1:2 m above ground:anl\u001b[0m\n",
      "  71  \u001b[38;2;255;153;0m:TMP:2 m above ground:anl\u001b[0m\n",
      "  72  \u001b[38;2;255;153;0m:POT:2 m above ground:anl\u001b[0m\n",
      "  73  \u001b[38;2;255;153;0m:SPFH:2 m above ground:anl\u001b[0m\n",
      "  74  \u001b[38;2;255;153;0m:DPT:2 m above ground:anl\u001b[0m\n",
      "  75  \u001b[38;2;255;153;0m:RH:2 m above ground:anl\u001b[0m\n",
      "💾 Saved the subset to C:\\Users\\blaylock\\data\\hrrr\\20220101\\subset_1bef7d97__hrrr.t06z.wrfsfcf00.grib2\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "WindowsPath('C:/Users/blaylock/data/hrrr/20220101/subset_1bef7d97__hrrr.t06z.wrfsfcf00.grib2')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Download a subset file\n",
    "# All variables at 2-m above ground\n",
    "H = Herbie(\"2022-01-01 06\", fxx=0)\n",
    "H.download(\":2 m above ground:\", verbose=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we ask to download this file again, Herbie tells us we already have a local copy. But we can overwrite if you need to using the `overwrite=True` argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2022-Jan-01 06:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ local\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n",
      "🌉 Already have local copy --> C:\\Users\\blaylock\\data\\hrrr\\20220101\\subset_1bef7d97__hrrr.t06z.wrfsfcf00.grib2\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "WindowsPath('C:/Users/blaylock/data/hrrr/20220101/subset_1bef7d97__hrrr.t06z.wrfsfcf00.grib2')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Already have a local copy downloaded\n",
    "H = Herbie(\"2022-01-01 06\", fxx=0)\n",
    "H.download(\":2 m above ground:\", verbose=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "🏁 And there you have it! You have learned the basic's of Herbie for discovering, exploring, downloading, and reading weather model data."
   ]
  }
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