Herbie_Chicago_Locs.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "3cbca530",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rc\n",
    "import numpy as np\n",
    "\n",
    "import random\n",
    "from IPython.display import HTML\n",
    "\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "from herbie import Herbie_latest, FastHerbie, Herbie\n",
    "from toolbox import EasyMap, pc, ccrs\n",
    "import metpy\n",
    "from metpy.units import units\n",
    "from paint.standard2 import cm_tmp\n",
    "\n",
    "from pyart.graph import cm_colorblind \n",
    "import xmovie\n",
    "# I like Py-ART's colorblind freindly colormaps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "16dbd486",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F36\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F37\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F38\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F39\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F40\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F41\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F42\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F43\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F44\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F45\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m,\n",
       " \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;13m2023-Jan-15 12:00 UTC\u001b[92m F46\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "FH = FastHerbie([\"2023-01-15 12:00\"], model=\"hrrr\", fxx=range(0,47))\n",
    "FH.objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "48f6c136",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture \n",
    "#Handles warnings..\n",
    "\n",
    "FH.download(\"(TMP|RH):2 m\") #This needs a good (and cheap) internet connection... ~1m on my connection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ad30eb5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture \n",
    "#Handles warnings..\n",
    "\n",
    "ds = FH.xarray(\"(TMP|RH):2 m\", remove_grib=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d407a6d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
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       "\n",
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       ".xr-header > ul {\n",
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       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-sections {\n",
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       "  color: var(--xr-font-color2);\n",
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       "  padding-left: 0.5em;\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
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       "\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",
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       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
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       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
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       "\n",
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       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
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       "\n",
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       "  grid-template-columns: 20px auto;\n",
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       "\n",
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       "  grid-column: 1;\n",
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       ".xr-var-list > li:nth-child(odd) > div,\n",
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       "\n",
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       "\n",
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       "  grid-column: 1 / -1;\n",
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       "  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",
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       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (step: 47, y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-01-15T12:00:00\n",
       "  * step                 (step) timedelta64[ns] 00:00:00 ... 1 days 22:00:00\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           (step) datetime64[ns] 2023-01-15T12:00:00 ... 2023-0...\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (step, y, x) float32 292.5 292.5 292.5 ... 274.7 274.8\n",
       "    r2                   (step, y, x) float32 66.9 67.0 67.0 ... 94.6 94.9 95.0\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",
       "    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-aed21156-e05c-42ff-aac5-dade2517c24f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aed21156-e05c-42ff-aac5-dade2517c24f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>step</span>: 47</li><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-30be0ecb-42f6-40bd-bd36-c972e8b804a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30be0ecb-42f6-40bd-bd36-c972e8b804a4' 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'>2023-01-15T12:00:00</div><input id='attrs-bf63b730-113e-4cef-9675-9b159bcb1656' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf63b730-113e-4cef-9675-9b159bcb1656' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35b13354-0c17-445c-bdbb-b90ce29d477e' class='xr-var-data-in' type='checkbox'><label for='data-35b13354-0c17-445c-bdbb-b90ce29d477e' 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;2023-01-15T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00 ... 1 days 22:00:00</div><input id='attrs-57726169-fc51-4946-9800-4c6416404296' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57726169-fc51-4946-9800-4c6416404296' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0ebceac-8f1f-4eda-a850-1be8eb80fa36' class='xr-var-data-in' type='checkbox'><label for='data-e0ebceac-8f1f-4eda-a850-1be8eb80fa36' 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,   3600000000000,   7200000000000,  10800000000000,\n",
       "        14400000000000,  18000000000000,  21600000000000,  25200000000000,\n",
       "        28800000000000,  32400000000000,  36000000000000,  39600000000000,\n",
       "        43200000000000,  46800000000000,  50400000000000,  54000000000000,\n",
       "        57600000000000,  61200000000000,  64800000000000,  68400000000000,\n",
       "        72000000000000,  75600000000000,  79200000000000,  82800000000000,\n",
       "        86400000000000,  90000000000000,  93600000000000,  97200000000000,\n",
       "       100800000000000, 104400000000000, 108000000000000, 111600000000000,\n",
       "       115200000000000, 118800000000000, 122400000000000, 126000000000000,\n",
       "       129600000000000, 133200000000000, 136800000000000, 140400000000000,\n",
       "       144000000000000, 147600000000000, 151200000000000, 154800000000000,\n",
       "       158400000000000, 162000000000000, 165600000000000],\n",
       "      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-5abd9566-e023-4222-ba6f-e8e5fca171dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5abd9566-e023-4222-ba6f-e8e5fca171dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52bf25d2-d1f8-437b-8733-d6324286154e' class='xr-var-data-in' type='checkbox'><label for='data-52bf25d2-d1f8-437b-8733-d6324286154e' 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-57dabbdc-6f7f-4027-9397-62c47d5774ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57dabbdc-6f7f-4027-9397-62c47d5774ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a3fb619-ca4f-4877-9113-536a2a706a13' class='xr-var-data-in' type='checkbox'><label for='data-4a3fb619-ca4f-4877-9113-536a2a706a13' 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-1c40ab89-b4be-4611-ae7b-711f22f847d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c40ab89-b4be-4611-ae7b-711f22f847d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-044a1846-8b7a-4a47-a0d8-40803982c05c' class='xr-var-data-in' type='checkbox'><label for='data-044a1846-8b7a-4a47-a0d8-40803982c05c' 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'>(step)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-15T12:00:00 ... 2023-01-...</div><input id='attrs-8285475d-8809-4843-9104-d87d611f48b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8285475d-8809-4843-9104-d87d611f48b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1126f31-ead9-4e19-92a9-35166b8f9e77' class='xr-var-data-in' type='checkbox'><label for='data-b1126f31-ead9-4e19-92a9-35166b8f9e77' 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;2023-01-15T12:00:00.000000000&#x27;, &#x27;2023-01-15T13:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T14:00:00.000000000&#x27;, &#x27;2023-01-15T15:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T16:00:00.000000000&#x27;, &#x27;2023-01-15T17:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T18:00:00.000000000&#x27;, &#x27;2023-01-15T19:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T20:00:00.000000000&#x27;, &#x27;2023-01-15T21:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T22:00:00.000000000&#x27;, &#x27;2023-01-15T23:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T00:00:00.000000000&#x27;, &#x27;2023-01-16T01:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T02:00:00.000000000&#x27;, &#x27;2023-01-16T03:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T04:00:00.000000000&#x27;, &#x27;2023-01-16T05:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T06:00:00.000000000&#x27;, &#x27;2023-01-16T07:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T08:00:00.000000000&#x27;, &#x27;2023-01-16T09:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T10:00:00.000000000&#x27;, &#x27;2023-01-16T11:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T12:00:00.000000000&#x27;, &#x27;2023-01-16T13:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T14:00:00.000000000&#x27;, &#x27;2023-01-16T15:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T16:00:00.000000000&#x27;, &#x27;2023-01-16T17:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T18:00:00.000000000&#x27;, &#x27;2023-01-16T19:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T20:00:00.000000000&#x27;, &#x27;2023-01-16T21:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T22:00:00.000000000&#x27;, &#x27;2023-01-16T23:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T00:00:00.000000000&#x27;, &#x27;2023-01-17T01:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T02:00:00.000000000&#x27;, &#x27;2023-01-17T03:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T04:00:00.000000000&#x27;, &#x27;2023-01-17T05:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T06:00:00.000000000&#x27;, &#x27;2023-01-17T07:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T08:00:00.000000000&#x27;, &#x27;2023-01-17T09:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T10:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0961316-1deb-4218-9cc0-70ca1736d034' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0961316-1deb-4218-9cc0-70ca1736d034' 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'>(step, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>292.5 292.5 292.5 ... 274.7 274.8</div><input id='attrs-472893de-cd9d-4a39-8124-e213abadf58e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-472893de-cd9d-4a39-8124-e213abadf58e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3110371-f430-4a6e-a604-97e4620120a6' class='xr-var-data-in' type='checkbox'><label for='data-e3110371-f430-4a6e-a604-97e4620120a6' 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_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>array([[[292.46918, 292.46918, 292.46918, ..., 296.40668, 296.40668,\n",
       "         296.40668],\n",
       "        [292.40668, 292.40668, 292.40668, ..., 296.28168, 296.28168,\n",
       "         296.40668],\n",
       "        [292.40668, 292.34418, 292.34418, ..., 296.28168, 296.28168,\n",
       "         296.34418],\n",
       "        ...,\n",
       "        [281.53168, 281.59418, 281.59418, ..., 272.65668, 272.71918,\n",
       "         272.78168],\n",
       "        [281.53168, 281.53168, 281.53168, ..., 272.65668, 272.71918,\n",
       "         272.78168],\n",
       "        [281.53168, 281.53168, 281.53168, ..., 272.65668, 272.71918,\n",
       "         272.78168]],\n",
       "\n",
       "       [[292.44763, 292.44763, 292.44763, ..., 296.32263, 296.32263,\n",
       "         296.32263],\n",
       "        [292.38513, 292.38513, 292.38513, ..., 296.26013, 296.26013,\n",
       "         296.32263],\n",
       "        [292.32263, 292.32263, 292.32263, ..., 296.26013, 296.26013,\n",
       "         296.26013],\n",
       "...\n",
       "        [282.0437 , 282.1062 , 282.1062 , ..., 274.5437 , 274.6062 ,\n",
       "         274.6062 ],\n",
       "        [282.0437 , 282.0437 , 282.0437 , ..., 274.6062 , 274.6062 ,\n",
       "         274.6687 ],\n",
       "        [282.0437 , 281.9812 , 281.9812 , ..., 274.6062 , 274.6687 ,\n",
       "         274.7312 ]],\n",
       "\n",
       "       [[293.7616 , 293.7616 , 293.7616 , ..., 297.5116 , 297.5116 ,\n",
       "         297.5116 ],\n",
       "        [293.6991 , 293.6991 , 293.6991 , ..., 297.4491 , 297.4491 ,\n",
       "         297.5116 ],\n",
       "        [293.6991 , 293.6991 , 293.6991 , ..., 297.3866 , 297.3866 ,\n",
       "         297.4491 ],\n",
       "        ...,\n",
       "        [282.0741 , 282.0741 , 282.0741 , ..., 274.5741 , 274.6366 ,\n",
       "         274.6366 ],\n",
       "        [282.0116 , 282.0741 , 282.0741 , ..., 274.6366 , 274.6991 ,\n",
       "         274.6991 ],\n",
       "        [282.0116 , 282.0116 , 282.0116 , ..., 274.6366 , 274.6991 ,\n",
       "         274.7616 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r2</span></div><div class='xr-var-dims'>(step, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>66.9 67.0 67.0 ... 94.6 94.9 95.0</div><input id='attrs-5e0a26c8-c603-4292-b471-2d89fdad73a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e0a26c8-c603-4292-b471-2d89fdad73a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9490e969-b142-45ea-8e11-08c139a62da7' class='xr-var-data-in' type='checkbox'><label for='data-9490e969-b142-45ea-8e11-08c139a62da7' 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_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>array([[[66.9, 67. , 67. , ..., 63.1, 63.3, 63.4],\n",
       "        [67. , 66.8, 66.8, ..., 63.2, 63.5, 63.4],\n",
       "        [67.1, 66.9, 66.9, ..., 62.9, 63.3, 63.3],\n",
       "        ...,\n",
       "        [81.8, 81.7, 81.8, ..., 89.6, 89.8, 90.3],\n",
       "        [81.9, 81.9, 81.9, ..., 89.7, 89.9, 90.3],\n",
       "        [82. , 82. , 82.1, ..., 90. , 90.2, 90.3]],\n",
       "\n",
       "       [[66.8, 66.9, 66.9, ..., 60.7, 60.8, 60.9],\n",
       "        [66.9, 66.6, 66.6, ..., 60.7, 60.9, 61. ],\n",
       "        [66.9, 66.6, 66.6, ..., 60.4, 60.7, 60.9],\n",
       "        ...,\n",
       "        [80.1, 79.9, 80.1, ..., 90.3, 90.4, 91. ],\n",
       "        [80.1, 80. , 80.2, ..., 90.4, 90.4, 91. ],\n",
       "        [80.1, 80.3, 80.5, ..., 91. , 91.1, 91.1]],\n",
       "\n",
       "       [[66.7, 66.7, 66.8, ..., 58.2, 58.3, 58.4],\n",
       "        [66.7, 66.3, 66.3, ..., 58.1, 58.3, 58.5],\n",
       "        [66.8, 66.3, 66.3, ..., 58. , 58.2, 58.5],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [95.9, 95.3, 95.1, ..., 94.1, 94.6, 95.3],\n",
       "        [96.1, 95.5, 95.3, ..., 94.3, 94.7, 95.4],\n",
       "        [96.1, 96.2, 96.2, ..., 94.9, 95.2, 95.4]],\n",
       "\n",
       "       [[72.5, 72.5, 72.5, ..., 52.3, 51.9, 51.5],\n",
       "        [72.5, 71.4, 71.2, ..., 51.9, 51.6, 51.9],\n",
       "        [72.5, 71.4, 71.2, ..., 52.7, 52.3, 52.5],\n",
       "        ...,\n",
       "        [95. , 94.3, 94.1, ..., 94. , 94.5, 95.2],\n",
       "        [95.2, 94.5, 94.4, ..., 94.3, 94.7, 95.4],\n",
       "        [95.3, 95.4, 95.5, ..., 95. , 95.2, 95.4]],\n",
       "\n",
       "       [[72.1, 72.1, 72. , ..., 56.2, 55.9, 55.6],\n",
       "        [72.2, 71. , 70.8, ..., 55.9, 55.8, 56.3],\n",
       "        [72.2, 71. , 70.8, ..., 56.6, 56.5, 57.1],\n",
       "        ...,\n",
       "        [94.2, 93.4, 93.1, ..., 93.6, 94.1, 94.9],\n",
       "        [94.3, 93.6, 93.4, ..., 93.8, 94.3, 95. ],\n",
       "        [94.4, 94.4, 94.5, ..., 94.6, 94.9, 95. ]]], 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-eeff5719-3f5c-4c35-aaa1-9612d9f5f46e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeff5719-3f5c-4c35-aaa1-9612d9f5f46e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-553646b2-4af4-4afb-8a4a-b7599392b1d9' class='xr-var-data-in' type='checkbox'><label for='data-553646b2-4af4-4afb-8a4a-b7599392b1d9' 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-a291ddf9-ad0e-46d7-a1c0-4996b328768b' class='xr-section-summary-in' type='checkbox'  ><label for='section-a291ddf9-ad0e-46d7-a1c0-4996b328768b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>step</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c00fa4c-378a-4faf-bb5e-cb49c5147bf6' class='xr-index-data-in' type='checkbox'/><label for='index-8c00fa4c-378a-4faf-bb5e-cb49c5147bf6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(TimedeltaIndex([&#x27;0 days 00:00:00&#x27;, &#x27;0 days 01:00:00&#x27;, &#x27;0 days 02:00:00&#x27;,\n",
       "                &#x27;0 days 03:00:00&#x27;, &#x27;0 days 04:00:00&#x27;, &#x27;0 days 05:00:00&#x27;,\n",
       "                &#x27;0 days 06:00:00&#x27;, &#x27;0 days 07:00:00&#x27;, &#x27;0 days 08:00:00&#x27;,\n",
       "                &#x27;0 days 09:00:00&#x27;, &#x27;0 days 10:00:00&#x27;, &#x27;0 days 11:00:00&#x27;,\n",
       "                &#x27;0 days 12:00:00&#x27;, &#x27;0 days 13:00:00&#x27;, &#x27;0 days 14:00:00&#x27;,\n",
       "                &#x27;0 days 15:00:00&#x27;, &#x27;0 days 16:00:00&#x27;, &#x27;0 days 17:00:00&#x27;,\n",
       "                &#x27;0 days 18:00:00&#x27;, &#x27;0 days 19:00:00&#x27;, &#x27;0 days 20:00:00&#x27;,\n",
       "                &#x27;0 days 21:00:00&#x27;, &#x27;0 days 22:00:00&#x27;, &#x27;0 days 23:00:00&#x27;,\n",
       "                &#x27;1 days 00:00:00&#x27;, &#x27;1 days 01:00:00&#x27;, &#x27;1 days 02:00:00&#x27;,\n",
       "                &#x27;1 days 03:00:00&#x27;, &#x27;1 days 04:00:00&#x27;, &#x27;1 days 05:00:00&#x27;,\n",
       "                &#x27;1 days 06:00:00&#x27;, &#x27;1 days 07:00:00&#x27;, &#x27;1 days 08:00:00&#x27;,\n",
       "                &#x27;1 days 09:00:00&#x27;, &#x27;1 days 10:00:00&#x27;, &#x27;1 days 11:00:00&#x27;,\n",
       "                &#x27;1 days 12:00:00&#x27;, &#x27;1 days 13:00:00&#x27;, &#x27;1 days 14:00:00&#x27;,\n",
       "                &#x27;1 days 15:00:00&#x27;, &#x27;1 days 16:00:00&#x27;, &#x27;1 days 17:00:00&#x27;,\n",
       "                &#x27;1 days 18:00:00&#x27;, &#x27;1 days 19:00:00&#x27;, &#x27;1 days 20:00:00&#x27;,\n",
       "                &#x27;1 days 21:00:00&#x27;, &#x27;1 days 22:00:00&#x27;],\n",
       "               dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;step&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21e15857-5d09-47d9-a610-76656c4d6a3f' class='xr-section-summary-in' type='checkbox'  ><label for='section-21e15857-5d09-47d9-a610-76656c4d6a3f' class='xr-section-summary' >Attributes: <span>(10)</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>searchString :</span></dt><dd>(TMP|RH):2 m</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (step: 47, y: 1059, x: 1799)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-01-15T12:00:00\n",
       "  * step                 (step) timedelta64[ns] 00:00:00 ... 1 days 22:00:00\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           (step) datetime64[ns] 2023-01-15T12:00:00 ... 2023-0...\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (step, y, x) float32 292.5 292.5 292.5 ... 274.7 274.8\n",
       "    r2                   (step, y, x) float32 66.9 67.0 67.0 ... 94.6 94.9 95.0\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",
       "    searchString:            (TMP|RH):2 m"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c4985d9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "dp = metpy.calc.dewpoint_from_relative_humidity(ds.t2m * units.kelvin, ds.r2 * units.percent)\n",
    "ds['dp'] = dp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0b80642b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/scollis/miniconda3/envs/models/lib/python3.11/site-packages/metpy/xarray.py:382: UserWarning: More than one time coordinate present for variable \"dp\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n",
      "/Users/scollis/miniconda3/envs/models/lib/python3.11/site-packages/metpy/xarray.py:382: UserWarning: More than one time coordinate present for variable \"t2m\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n",
      "/Users/scollis/miniconda3/envs/models/lib/python3.11/site-packages/metpy/xarray.py:382: UserWarning: More than one time coordinate present for variable \"r2\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n",
      "/Users/scollis/miniconda3/envs/models/lib/python3.11/site-packages/metpy/xarray.py:382: UserWarning: More than one time coordinate present for variable \"dp\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n"
     ]
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       "  /* 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:              (step: 47, point: 3)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-01-15T12:00:00\n",
       "  * step                 (step) timedelta64[ns] 00:00:00 ... 1 days 22:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "    latitude             (point) float64 41.88 41.71 41.79\n",
       "    longitude            (point) float64 272.4 272.0 272.0\n",
       "    valid_time           (step) datetime64[ns] 2023-01-15T12:00:00 ... 2023-0...\n",
       "    metpy_crs            object Projection: lambert_conformal_conic\n",
       "    y                    (point) float64 4.197e+05 3.987e+05 4.077e+05\n",
       "    x                    (point) float64 8.185e+05 7.915e+05 7.915e+05\n",
       "  * point                (point) &lt;U7 &#x27;Chicago&#x27; &#x27;Argonne&#x27; &#x27;Barn&#x27;\n",
       "Data variables:\n",
       "    t2m                  (point, step) float32 271.3 271.3 271.3 ... 279.2 278.8\n",
       "    r2                   (point, step) float32 84.8 82.3 80.5 ... 90.5 91.0 92.0\n",
       "    gribfile_projection  (point) object None None None\n",
       "    dp                   (point, step) float32 &lt;Quantity([[-4.0851135  -4.504...\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",
       "    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-48345aa5-0864-4fc3-b222-861539180141' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-48345aa5-0864-4fc3-b222-861539180141' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>step</span>: 47</li><li><span class='xr-has-index'>point</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6582dfc5-dea7-45ca-970e-b198790435cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6582dfc5-dea7-45ca-970e-b198790435cf' class='xr-section-summary' >Coordinates: <span>(10)</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'>2023-01-15T12:00:00</div><input id='attrs-f7f98392-5664-4bb7-b775-00a54041d65a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7f98392-5664-4bb7-b775-00a54041d65a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19a642de-4030-4d2b-b65b-2d2daad9125c' class='xr-var-data-in' type='checkbox'><label for='data-19a642de-4030-4d2b-b65b-2d2daad9125c' 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><dt><span>_metpy_axis :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2023-01-15T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00 ... 1 days 22:00:00</div><input id='attrs-58fafc6f-441c-4771-8e9e-54d55be5c20b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58fafc6f-441c-4771-8e9e-54d55be5c20b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1dba956-0ebc-4f4c-8349-71cd7a0e8dc7' class='xr-var-data-in' type='checkbox'><label for='data-e1dba956-0ebc-4f4c-8349-71cd7a0e8dc7' 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,   3600000000000,   7200000000000,  10800000000000,\n",
       "        14400000000000,  18000000000000,  21600000000000,  25200000000000,\n",
       "        28800000000000,  32400000000000,  36000000000000,  39600000000000,\n",
       "        43200000000000,  46800000000000,  50400000000000,  54000000000000,\n",
       "        57600000000000,  61200000000000,  64800000000000,  68400000000000,\n",
       "        72000000000000,  75600000000000,  79200000000000,  82800000000000,\n",
       "        86400000000000,  90000000000000,  93600000000000,  97200000000000,\n",
       "       100800000000000, 104400000000000, 108000000000000, 111600000000000,\n",
       "       115200000000000, 118800000000000, 122400000000000, 126000000000000,\n",
       "       129600000000000, 133200000000000, 136800000000000, 140400000000000,\n",
       "       144000000000000, 147600000000000, 151200000000000, 154800000000000,\n",
       "       158400000000000, 162000000000000, 165600000000000],\n",
       "      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-773f9196-bc4f-4f47-a86e-1ac9cf4e73e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-773f9196-bc4f-4f47-a86e-1ac9cf4e73e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec15d158-4ccc-4dad-8828-b2c55d5483c6' class='xr-var-data-in' type='checkbox'><label for='data-ec15d158-4ccc-4dad-8828-b2c55d5483c6' 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><dt><span>_metpy_axis :</span></dt><dd>vertical</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'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>41.88 41.71 41.79</div><input id='attrs-db882261-bc9e-436c-8d23-da99ca1da08b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db882261-bc9e-436c-8d23-da99ca1da08b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4932e87f-9b71-4510-9fc9-84b9ce37050b' class='xr-var-data-in' type='checkbox'><label for='data-4932e87f-9b71-4510-9fc9-84b9ce37050b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>_metpy_axis :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([41.87656533, 41.71461081, 41.79498034])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>272.4 272.0 272.0</div><input id='attrs-24611abf-0385-4315-8c51-d4fa1dea6620' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24611abf-0385-4315-8c51-d4fa1dea6620' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a259e764-0ed3-42b6-81a0-df88a71ae67b' class='xr-var-data-in' type='checkbox'><label for='data-a259e764-0ed3-42b6-81a0-df88a71ae67b' 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><dt><span>_metpy_axis :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([272.38694404, 272.03697798, 272.04818795])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-01-15T12:00:00 ... 2023-01-...</div><input id='attrs-078419d3-57a1-4c93-beb4-3dcaa066e975' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-078419d3-57a1-4c93-beb4-3dcaa066e975' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01658e1e-5420-44a6-be9c-b6a62f9d2b6f' class='xr-var-data-in' type='checkbox'><label for='data-01658e1e-5420-44a6-be9c-b6a62f9d2b6f' 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;2023-01-15T12:00:00.000000000&#x27;, &#x27;2023-01-15T13:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T14:00:00.000000000&#x27;, &#x27;2023-01-15T15:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T16:00:00.000000000&#x27;, &#x27;2023-01-15T17:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T18:00:00.000000000&#x27;, &#x27;2023-01-15T19:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T20:00:00.000000000&#x27;, &#x27;2023-01-15T21:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T22:00:00.000000000&#x27;, &#x27;2023-01-15T23:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T00:00:00.000000000&#x27;, &#x27;2023-01-16T01:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T02:00:00.000000000&#x27;, &#x27;2023-01-16T03:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T04:00:00.000000000&#x27;, &#x27;2023-01-16T05:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T06:00:00.000000000&#x27;, &#x27;2023-01-16T07:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T08:00:00.000000000&#x27;, &#x27;2023-01-16T09:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T10:00:00.000000000&#x27;, &#x27;2023-01-16T11:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T12:00:00.000000000&#x27;, &#x27;2023-01-16T13:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T14:00:00.000000000&#x27;, &#x27;2023-01-16T15:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T16:00:00.000000000&#x27;, &#x27;2023-01-16T17:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T18:00:00.000000000&#x27;, &#x27;2023-01-16T19:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T20:00:00.000000000&#x27;, &#x27;2023-01-16T21:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T22:00:00.000000000&#x27;, &#x27;2023-01-16T23:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T00:00:00.000000000&#x27;, &#x27;2023-01-17T01:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T02:00:00.000000000&#x27;, &#x27;2023-01-17T03:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T04:00:00.000000000&#x27;, &#x27;2023-01-17T05:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T06:00:00.000000000&#x27;, &#x27;2023-01-17T07:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T08:00:00.000000000&#x27;, &#x27;2023-01-17T09:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T10:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>metpy_crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>Projection: lambert_conformal_conic</div><input id='attrs-a9efa67b-af1b-4ba3-8a93-536c33af9b7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9efa67b-af1b-4ba3-8a93-536c33af9b7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5f18ed0-67a2-4f7c-a310-317fc254eba5' class='xr-var-data-in' type='checkbox'><label for='data-d5f18ed0-67a2-4f7c-a310-317fc254eba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&lt;metpy.plots.mapping.CFProjection object at 0x1a346f2d0&gt;,\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.197e+05 3.987e+05 4.077e+05</div><input id='attrs-701c3e2e-dcee-4834-8c30-93a6c548cf56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-701c3e2e-dcee-4834-8c30-93a6c548cf56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a164e98f-37e0-46d0-b056-d41a938f2c50' class='xr-var-data-in' type='checkbox'><label for='data-a164e98f-37e0-46d0-b056-d41a938f2c50' 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>meter</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([419693.84744334, 398693.84744334, 407693.84744334])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.185e+05 7.915e+05 7.915e+05</div><input id='attrs-edb59b00-4c3e-40c9-91bd-6a27dec59c4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edb59b00-4c3e-40c9-91bd-6a27dec59c4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b1aaeb6-b663-43f8-9fb1-15c05b8d231a' class='xr-var-data-in' type='checkbox'><label for='data-7b1aaeb6-b663-43f8-9fb1-15c05b8d231a' 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>meter</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([818479.85747807, 791479.85747807, 791479.85747807])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>point</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;Chicago&#x27; &#x27;Argonne&#x27; &#x27;Barn&#x27;</div><input id='attrs-82987e42-21e1-4565-9b3a-e381ee3cbebd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82987e42-21e1-4565-9b3a-e381ee3cbebd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21ba8ce9-dfe2-4695-b13d-60fff927c98a' class='xr-var-data-in' type='checkbox'><label for='data-21ba8ce9-dfe2-4695-b13d-60fff927c98a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Chicago&#x27;, &#x27;Argonne&#x27;, &#x27;Barn&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9fc5c44-854d-4136-a342-8a4d84752dc1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a9fc5c44-854d-4136-a342-8a4d84752dc1' class='xr-section-summary' >Data variables: <span>(4)</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'>(point, step)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>271.3 271.3 271.3 ... 279.2 278.8</div><input id='attrs-66e0085d-a5a2-4300-8bda-5979f937e9fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66e0085d-a5a2-4300-8bda-5979f937e9fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dc1b3bd-b776-419e-80bd-58826a6606f7' class='xr-var-data-in' type='checkbox'><label for='data-6dc1b3bd-b776-419e-80bd-58826a6606f7' 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_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>array([[271.28168, 271.26013, 271.28143, 271.729  , 272.55862, 273.3811 ,\n",
       "        274.15173, 274.5443 , 274.85132, 274.9845 , 274.98694, 274.75775,\n",
       "        274.66998, 274.48364, 274.43878, 274.45654, 274.44122, 274.42822,\n",
       "        274.38113, 274.33038, 274.346  , 274.34586, 274.39825, 274.39865,\n",
       "        274.4143 , 274.49338, 274.7124 , 274.93274, 275.00507, 275.05096,\n",
       "        275.22644, 275.58643, 276.01816, 276.10095, 276.11465, 276.3729 ,\n",
       "        276.87592, 277.1458 , 277.2954 , 277.74365, 278.69684, 279.39426,\n",
       "        279.06152, 278.19568, 277.30276, 276.9187 , 276.6366 ],\n",
       "       [269.96918, 269.63513, 269.96893, 271.104  , 272.18362, 273.6936 ,\n",
       "        275.02673, 276.4818 , 277.35132, 277.3595 , 276.48694, 274.94525,\n",
       "        274.79498, 274.73364, 274.87628, 274.64404, 274.56622, 274.30322,\n",
       "        274.25613, 273.95538, 274.0335 , 274.03336, 274.21075, 274.08615,\n",
       "        274.5393 , 275.55588, 276.1499 , 276.49524, 277.00507, 277.17596,\n",
       "        278.60144, 278.71143, 279.83066, 279.97595, 280.23965, 280.8729 ,\n",
       "        281.56342, 281.8958 , 282.2954 , 282.61865, 283.00934, 281.89426,\n",
       "        281.18652, 280.13318, 279.61526, 279.2312 , 278.8866 ],\n",
       "       [270.09418, 269.69763, 270.03143, 271.1665 , 272.30862, 273.8186 ,\n",
       "        275.08923, 276.2943 , 277.10132, 277.297  , 276.36194, 275.13275,\n",
       "        274.91998, 274.85864, 274.87628, 274.83154, 274.56622, 274.55322,\n",
       "        274.38113, 274.26788, 274.2835 , 274.34586, 274.46075, 274.46115,\n",
       "        274.8518 , 275.74338, 276.3999 , 276.55774, 277.13007, 277.23846,\n",
       "        278.41394, 278.83643, 279.83066, 279.91345, 280.11465, 280.7479 ,\n",
       "        281.37592, 281.8333 , 282.1079 , 282.55615, 282.88434, 281.95676,\n",
       "        281.12402, 280.13318, 279.49026, 279.1687 , 278.8241 ]],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r2</span></div><div class='xr-var-dims'>(point, step)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>84.8 82.3 80.5 ... 90.5 91.0 92.0</div><input id='attrs-44d16c7d-2885-42e9-b0dc-492f5597a41b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44d16c7d-2885-42e9-b0dc-492f5597a41b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fe8248a-1100-4818-9a62-e02aec19e640' class='xr-var-data-in' type='checkbox'><label for='data-0fe8248a-1100-4818-9a62-e02aec19e640' 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_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>array([[84.8, 82.3, 80.5, 74.5, 71.2, 71.9, 73.2, 74.2, 74.6, 75.3, 76.5,\n",
       "        78.6, 77.6, 81.1, 81.3, 81.8, 82.3, 80.7, 81.2, 82.7, 82.7, 83.5,\n",
       "        83.2, 83.4, 84.9, 86.5, 86.7, 85.1, 86.6, 87.5, 87.5, 85.7, 84.9,\n",
       "        85.6, 84.7, 84.4, 83.8, 83.8, 84.1, 84.1, 85. , 84.5, 78.2, 74.4,\n",
       "        76.5, 78.4, 79.2],\n",
       "       [85.5, 84.7, 80.2, 76.5, 75. , 73.4, 73.6, 69.6, 67. , 68.3, 71.8,\n",
       "        77.2, 78.5, 79.5, 78.3, 77.1, 76.3, 76.8, 75.7, 79.4, 80.5, 82. ,\n",
       "        82.5, 84.7, 85.6, 85.9, 86.7, 90.5, 93.2, 94.8, 95.3, 96.4, 95. ,\n",
       "        94.3, 94.9, 93.9, 93.9, 93.8, 93.3, 92.9, 92.7, 89. , 84.7, 88.6,\n",
       "        90.3, 91.4, 92. ],\n",
       "       [85.1, 83.8, 79.4, 76.4, 75. , 73.8, 73.1, 69.1, 67.8, 68.1, 71. ,\n",
       "        74.6, 76.6, 77.8, 77.6, 76. , 76.7, 74.3, 74.3, 77. , 78.4, 79.2,\n",
       "        80.4, 81.8, 82.9, 83.7, 84.5, 90.1, 92.9, 94.8, 95.7, 96.3, 95.7,\n",
       "        94.7, 95.6, 94.4, 94.4, 93.8, 94. , 93.4, 93.5, 88.8, 83.8, 88.7,\n",
       "        90.5, 91. , 92. ]], 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'>(point)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None None None</div><input id='attrs-072fb171-c45e-4e6c-9f5d-26e340e9f958' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-072fb171-c45e-4e6c-9f5d-26e340e9f958' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3fa1735-0844-47bc-8d6c-fbc37ef49133' class='xr-var-data-in' type='checkbox'><label for='data-b3fa1735-0844-47bc-8d6c-fbc37ef49133' 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, None, None], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dp</span></div><div class='xr-var-dims'>(point, step)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>&lt;Quantity([[-4.0851135  -4.50418...</div><input id='attrs-ad781ce8-0cd2-4c09-9185-4d9ffe2ca289' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad781ce8-0cd2-4c09-9185-4d9ffe2ca289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff99e6c1-569c-4a65-8491-3ffffcfa5044' class='xr-var-data-in' type='checkbox'><label for='data-ff99e6c1-569c-4a65-8491-3ffffcfa5044' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[-4.085113525390625 -4.504180908203125 -4.776580810546875<br>  -5.365020751953125 -5.161895751953125 -4.24005126953125<br>  -3.257354736328125 -2.69561767578125 -2.32611083984375<br>  -2.070831298828125 -1.85406494140625 -1.709014892578125<br>  -1.968170166015625 -1.550506591796875 -1.560821533203125<br>  -1.459991455078125 -1.391998291015625 -1.671844482421875<br>  -1.63385009765625 -1.434417724609375 -1.41912841796875<br>  -1.288055419921875 -1.28582763671875 -1.252685546875 -0.99395751953125<br>  -0.66070556640625 -0.413543701171875 -0.4527587890625 -0.1414794921875<br>  0.046142578125 0.218963623046875 0.28607177734375 0.580352783203125<br>  0.77545166015625 0.64239501953125 0.846527099609375 1.24053955078125<br>  1.505035400390625 1.701568603515625 2.1409912109375 3.22589111328125<br>  3.826446533203125 2.406341552734375 0.87127685546875 0.39227294921875<br>  0.358367919921875 0.224090576171875]<br> [-5.265289306640625 -5.717193603515625 -6.106689453125 -5.6219482421875<br>  -4.836578369140625 -3.663177490234375 -2.338958740234375<br>  -1.69537353515625 -1.38079833984375 -1.110870361328125<br>  -1.26678466796875 -1.7708740234375 -1.690093994140625 -1.57769775390625<br>  -1.645660400390625 -2.080963134765625 -2.297637939453125<br>  -2.464569091796875 -2.704833984375 -2.353057861328125<br>  -2.090728759765625 -1.840545654296875 -1.584442138671875<br>  -1.348236083984375 -0.75885009765625 0.288238525390625 1.00079345703125<br>  1.939666748046875 2.857696533203125 3.26788330078125 4.75994873046875<br>  5.033966064453125 5.93670654296875 5.97412109375 6.3280029296875<br>  6.80303955078125 7.488525390625 7.802825927734375 8.12078857421875<br>  8.378021240234375 8.733489990234375 7.03265380859375 5.6181640625<br>  5.23052978515625 4.992279052734375 4.786102294921875 4.53857421875]<br> [-5.204376220703125 -5.79620361328125 -6.177001953125 -5.5784912109375<br>  -4.715545654296875 -3.4697265625 -2.370758056640625 -1.973114013671875<br>  -1.458160400390625 -1.210723876953125 -1.53973388671875<br>  -2.053863525390625 -1.90130615234375 -1.7498779296875 -1.7677001953125<br>  -2.09368896484375 -2.2269287109375 -2.6688232421875 -2.835235595703125<br>  -2.4637451171875 -2.204986572265625 -2.006805419921875<br>  -1.690704345703125 -1.45550537109375 -0.89105224609375 0.1141357421875<br>  0.88946533203125 1.939422607421875 2.9361572265625 3.329986572265625<br>  4.633392333984375 5.143524169921875 6.042938232421875 5.9732666015625<br>  6.310302734375 6.756256103515625 7.38006591796875 7.740814208984375<br>  8.044677734375 8.39520263671875 8.736602783203125 7.061492919921875<br>  5.4029541015625 5.24676513671875 4.900482177734375 4.66143798828125<br>  4.4766845703125]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>degree_Celsius</td></tr></tbody></table></div></li></ul></div></li><li class='xr-section-item'><input id='section-dff7a834-9cbc-428d-875c-adf89848f2e0' class='xr-section-summary-in' type='checkbox'  ><label for='section-dff7a834-9cbc-428d-875c-adf89848f2e0' class='xr-section-summary' >Indexes: <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-index-name'><div>step</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ec9e978d-c257-4df5-b5b7-cc4618ab1c5c' class='xr-index-data-in' type='checkbox'/><label for='index-ec9e978d-c257-4df5-b5b7-cc4618ab1c5c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(TimedeltaIndex([&#x27;0 days 00:00:00&#x27;, &#x27;0 days 01:00:00&#x27;, &#x27;0 days 02:00:00&#x27;,\n",
       "                &#x27;0 days 03:00:00&#x27;, &#x27;0 days 04:00:00&#x27;, &#x27;0 days 05:00:00&#x27;,\n",
       "                &#x27;0 days 06:00:00&#x27;, &#x27;0 days 07:00:00&#x27;, &#x27;0 days 08:00:00&#x27;,\n",
       "                &#x27;0 days 09:00:00&#x27;, &#x27;0 days 10:00:00&#x27;, &#x27;0 days 11:00:00&#x27;,\n",
       "                &#x27;0 days 12:00:00&#x27;, &#x27;0 days 13:00:00&#x27;, &#x27;0 days 14:00:00&#x27;,\n",
       "                &#x27;0 days 15:00:00&#x27;, &#x27;0 days 16:00:00&#x27;, &#x27;0 days 17:00:00&#x27;,\n",
       "                &#x27;0 days 18:00:00&#x27;, &#x27;0 days 19:00:00&#x27;, &#x27;0 days 20:00:00&#x27;,\n",
       "                &#x27;0 days 21:00:00&#x27;, &#x27;0 days 22:00:00&#x27;, &#x27;0 days 23:00:00&#x27;,\n",
       "                &#x27;1 days 00:00:00&#x27;, &#x27;1 days 01:00:00&#x27;, &#x27;1 days 02:00:00&#x27;,\n",
       "                &#x27;1 days 03:00:00&#x27;, &#x27;1 days 04:00:00&#x27;, &#x27;1 days 05:00:00&#x27;,\n",
       "                &#x27;1 days 06:00:00&#x27;, &#x27;1 days 07:00:00&#x27;, &#x27;1 days 08:00:00&#x27;,\n",
       "                &#x27;1 days 09:00:00&#x27;, &#x27;1 days 10:00:00&#x27;, &#x27;1 days 11:00:00&#x27;,\n",
       "                &#x27;1 days 12:00:00&#x27;, &#x27;1 days 13:00:00&#x27;, &#x27;1 days 14:00:00&#x27;,\n",
       "                &#x27;1 days 15:00:00&#x27;, &#x27;1 days 16:00:00&#x27;, &#x27;1 days 17:00:00&#x27;,\n",
       "                &#x27;1 days 18:00:00&#x27;, &#x27;1 days 19:00:00&#x27;, &#x27;1 days 20:00:00&#x27;,\n",
       "                &#x27;1 days 21:00:00&#x27;, &#x27;1 days 22:00:00&#x27;],\n",
       "               dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;step&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>point</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96fdaec4-2996-484b-8aef-090c2e80a564' class='xr-index-data-in' type='checkbox'/><label for='index-96fdaec4-2996-484b-8aef-090c2e80a564' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Chicago&#x27;, &#x27;Argonne&#x27;, &#x27;Barn&#x27;], dtype=&#x27;object&#x27;, name=&#x27;point&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9831314a-3931-4333-9cd2-4f70660f4bea' class='xr-section-summary-in' type='checkbox'  ><label for='section-9831314a-3931-4333-9cd2-4f70660f4bea' class='xr-section-summary' >Attributes: <span>(10)</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>searchString :</span></dt><dd>(TMP|RH):2 m</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (step: 47, point: 3)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-01-15T12:00:00\n",
       "  * step                 (step) timedelta64[ns] 00:00:00 ... 1 days 22:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "    latitude             (point) float64 41.88 41.71 41.79\n",
       "    longitude            (point) float64 272.4 272.0 272.0\n",
       "    valid_time           (step) datetime64[ns] 2023-01-15T12:00:00 ... 2023-0...\n",
       "    metpy_crs            object Projection: lambert_conformal_conic\n",
       "    y                    (point) float64 4.197e+05 3.987e+05 4.077e+05\n",
       "    x                    (point) float64 8.185e+05 7.915e+05 7.915e+05\n",
       "  * point                (point) <U7 'Chicago' 'Argonne' 'Barn'\n",
       "Data variables:\n",
       "    t2m                  (point, step) float32 271.3 271.3 271.3 ... 279.2 278.8\n",
       "    r2                   (point, step) float32 84.8 82.3 80.5 ... 90.5 91.0 92.0\n",
       "    gribfile_projection  (point) object None None None\n",
       "    dp                   (point, step) float32 <Quantity([[-4.0851135  -4.504...\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",
       "    searchString:            (TMP|RH):2 m"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsi = ds.herbie.nearest_points([(-87.6298, 41.8781), (-87.9789, 41.7183), (-87.9646831, 41.8031498)], \n",
    "                               names=[\"Chicago\", \"Argonne\", \"Barn\"])\n",
    "dsi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5bdf5f26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "ax = EasyMap(\"50m\", crs=ds.herbie.crs, figsize=[15, 10]).STATES().ax\n",
    "\n",
    "p = ax.pcolormesh(\n",
    "    ds.longitude,\n",
    "    ds.latitude,\n",
    "    ds.t2m[5] - 273.15,\n",
    "    transform=pc,\n",
    "    cmap=cm_colorblind.ChaseSpectral,\n",
    "    vmin=-2, vmax=8\n",
    ")\n",
    "\n",
    "plt.scatter(dsi.longitude, dsi.latitude, transform=pc, marker='o', color='r')\n",
    "\n",
    "for i in dsi.t2m.isel(step=0):\n",
    "    plt.text(\n",
    "        i.longitude.item(),\n",
    "        i.latitude.item(),\n",
    "        f\"{i.point.item()}\\n2m Temp={i.item():.1f}\",\n",
    "        transform=pc,\n",
    "    )\n",
    "\n",
    "plt.colorbar(\n",
    "    p,\n",
    "    ax=ax,\n",
    "    orientation=\"horizontal\",\n",
    "    pad=0.01,\n",
    "    shrink=0.8\n",
    ")\n",
    "\n",
    "ax.set_title(\n",
    "    f\"{ds.model.upper()}: {ds.description}\\nValid: {ds.valid_time[5].dt.strftime('%H:%M UTC %d %b %Y').item()}\",\n",
    "    loc=\"left\",\n",
    ")\n",
    "ax.set_title(ds.t2m.GRIB_name, loc=\"right\")\n",
    "ax.set_extent([-89, -86.5, 41, 42], crs=pc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a8389d1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --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",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --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.DataArray &#x27;t2m&#x27; (point: 3)&gt;\n",
       "array([271.28168, 269.96918, 270.09418], dtype=float32)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 2023-01-15T12:00:00\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  float64 2.0\n",
       "    latitude           (point) float64 41.88 41.71 41.79\n",
       "    longitude          (point) float64 272.4 272.0 272.0\n",
       "    valid_time         datetime64[ns] 2023-01-15T12:00:00\n",
       "    metpy_crs          object Projection: lambert_conformal_conic\n",
       "    y                  (point) float64 4.197e+05 3.987e+05 4.077e+05\n",
       "    x                  (point) float64 8.185e+05 7.915e+05 7.915e+05\n",
       "  * point              (point) &lt;U7 &#x27;Chicago&#x27; &#x27;Argonne&#x27; &#x27;Barn&#x27;\n",
       "Attributes: (12/36)\n",
       "    GRIB_paramId:                             167\n",
       "    GRIB_dataType:                            fc\n",
       "    GRIB_numberOfPoints:                      1905141\n",
       "    GRIB_typeOfLevel:                         heightAboveGround\n",
       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            instant\n",
       "    ...                                       ...\n",
       "    GRIB_shortName:                           2t\n",
       "    GRIB_units:                               K\n",
       "    long_name:                                2 metre temperature\n",
       "    units:                                    K\n",
       "    standard_name:                            air_temperature\n",
       "    grid_mapping:                             gribfile_projection</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'t2m'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>point</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7c1922fd-1e31-41c3-a012-dea27bb1689f' class='xr-array-in' type='checkbox' checked><label for='section-7c1922fd-1e31-41c3-a012-dea27bb1689f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>271.3 270.0 270.1</span></div><div class='xr-array-data'><pre>array([271.28168, 269.96918, 270.09418], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-152aceab-9df6-46ad-a4da-80f55965ccb7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-152aceab-9df6-46ad-a4da-80f55965ccb7' class='xr-section-summary' >Coordinates: <span>(10)</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'>2023-01-15T12:00:00</div><input id='attrs-e320e28a-1af1-495d-90c6-8e25b2f3050e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e320e28a-1af1-495d-90c6-8e25b2f3050e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d50ad279-682f-43fe-9d89-c481ce97b097' class='xr-var-data-in' type='checkbox'><label for='data-d50ad279-682f-43fe-9d89-c481ce97b097' 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><dt><span>_metpy_axis :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2023-01-15T12:00:00.000000000&#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-f8fdf0ea-f0b6-47f1-9409-89b41fbfd0f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8fdf0ea-f0b6-47f1-9409-89b41fbfd0f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-409604f9-76c3-4b07-ac34-1238ff94faaf' class='xr-var-data-in' type='checkbox'><label for='data-409604f9-76c3-4b07-ac34-1238ff94faaf' 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'>2.0</div><input id='attrs-fbedb161-b31d-45f8-81b2-e7071c130d62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbedb161-b31d-45f8-81b2-e7071c130d62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a12c4d73-1889-42ac-8a73-30557d487f3c' class='xr-var-data-in' type='checkbox'><label for='data-a12c4d73-1889-42ac-8a73-30557d487f3c' 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><dt><span>_metpy_axis :</span></dt><dd>vertical</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'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>41.88 41.71 41.79</div><input id='attrs-9b6f8c1f-5ff7-46cf-8386-ecf3e9aaabcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b6f8c1f-5ff7-46cf-8386-ecf3e9aaabcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ac6fff8-e6a2-462e-9952-ab287f9a94c9' class='xr-var-data-in' type='checkbox'><label for='data-2ac6fff8-e6a2-462e-9952-ab287f9a94c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>_metpy_axis :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([41.87656533, 41.71461081, 41.79498034])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>272.4 272.0 272.0</div><input id='attrs-8557c61c-d9b8-4d71-bfe7-6bf13ab78661' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8557c61c-d9b8-4d71-bfe7-6bf13ab78661' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c372a687-0781-4b33-9835-9b0f84fcfe4b' class='xr-var-data-in' type='checkbox'><label for='data-c372a687-0781-4b33-9835-9b0f84fcfe4b' 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><dt><span>_metpy_axis :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([272.38694404, 272.03697798, 272.04818795])</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'>2023-01-15T12:00:00</div><input id='attrs-a9bb2665-d401-4bff-9e05-7b610fabb781' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9bb2665-d401-4bff-9e05-7b610fabb781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27c6dc21-b38d-4fee-b140-fba094b930d8' class='xr-var-data-in' type='checkbox'><label for='data-27c6dc21-b38d-4fee-b140-fba094b930d8' 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;2023-01-15T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>metpy_crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>Projection: lambert_conformal_conic</div><input id='attrs-0acb18b9-8862-438b-861e-79814861cad5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0acb18b9-8862-438b-861e-79814861cad5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80dd0ac2-189c-4820-bc4f-0c4ab797b234' class='xr-var-data-in' type='checkbox'><label for='data-80dd0ac2-189c-4820-bc4f-0c4ab797b234' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&lt;metpy.plots.mapping.CFProjection object at 0x1a346f2d0&gt;,\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.197e+05 3.987e+05 4.077e+05</div><input id='attrs-c6068c63-286d-4230-867f-256a81771188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6068c63-286d-4230-867f-256a81771188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9a114f3-8d88-4eba-af27-4aea7b555e37' class='xr-var-data-in' type='checkbox'><label for='data-b9a114f3-8d88-4eba-af27-4aea7b555e37' 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>meter</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([419693.84744334, 398693.84744334, 407693.84744334])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.185e+05 7.915e+05 7.915e+05</div><input id='attrs-a46daba2-73d2-4418-a7e9-f120f8b20158' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a46daba2-73d2-4418-a7e9-f120f8b20158' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc34701c-42dd-4d07-8e71-0691bbe1c8ad' class='xr-var-data-in' type='checkbox'><label for='data-cc34701c-42dd-4d07-8e71-0691bbe1c8ad' 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>meter</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([818479.85747807, 791479.85747807, 791479.85747807])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>point</span></div><div class='xr-var-dims'>(point)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;Chicago&#x27; &#x27;Argonne&#x27; &#x27;Barn&#x27;</div><input id='attrs-ca5644ae-d016-4d57-91af-10b64a23da39' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ca5644ae-d016-4d57-91af-10b64a23da39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e41cf5b1-8668-49ca-830e-802970192dd0' class='xr-var-data-in' type='checkbox'><label for='data-e41cf5b1-8668-49ca-830e-802970192dd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Chicago&#x27;, &#x27;Argonne&#x27;, &#x27;Barn&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e2cc0f1-9352-432d-a6af-3df0e82302e6' class='xr-section-summary-in' type='checkbox'  ><label for='section-4e2cc0f1-9352-432d-a6af-3df0e82302e6' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>point</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-734b8be8-f1ae-4d3f-be08-6b3d388c1d1f' class='xr-index-data-in' type='checkbox'/><label for='index-734b8be8-f1ae-4d3f-be08-6b3d388c1d1f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Chicago&#x27;, &#x27;Argonne&#x27;, &#x27;Barn&#x27;], dtype=&#x27;object&#x27;, name=&#x27;point&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-036083e6-a13b-404a-9e47-d7253f047ce1' class='xr-section-summary-in' type='checkbox'  ><label for='section-036083e6-a13b-404a-9e47-d7253f047ce1' class='xr-section-summary' >Attributes: <span>(36)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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_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></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't2m' (point: 3)>\n",
       "array([271.28168, 269.96918, 270.09418], dtype=float32)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 2023-01-15T12:00:00\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  float64 2.0\n",
       "    latitude           (point) float64 41.88 41.71 41.79\n",
       "    longitude          (point) float64 272.4 272.0 272.0\n",
       "    valid_time         datetime64[ns] 2023-01-15T12:00:00\n",
       "    metpy_crs          object Projection: lambert_conformal_conic\n",
       "    y                  (point) float64 4.197e+05 3.987e+05 4.077e+05\n",
       "    x                  (point) float64 8.185e+05 7.915e+05 7.915e+05\n",
       "  * point              (point) <U7 'Chicago' 'Argonne' 'Barn'\n",
       "Attributes: (12/36)\n",
       "    GRIB_paramId:                             167\n",
       "    GRIB_dataType:                            fc\n",
       "    GRIB_numberOfPoints:                      1905141\n",
       "    GRIB_typeOfLevel:                         heightAboveGround\n",
       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            instant\n",
       "    ...                                       ...\n",
       "    GRIB_shortName:                           2t\n",
       "    GRIB_units:                               K\n",
       "    long_name:                                2 metre temperature\n",
       "    units:                                    K\n",
       "    standard_name:                            air_temperature\n",
       "    grid_mapping:                             gribfile_projection"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsi.t2m.isel(step=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cf2a6fc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a3955d50>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[15,8])\n",
    "(dsi.t2m - 273.15).isel(point=0).plot(color='blue', x=\"valid_time\", marker=\".\", label=dsi.point[0].values)\n",
    "(dsi.t2m - 273.15).isel(point=1).plot(color='purple', x=\"valid_time\", marker=\".\", label=dsi.point[1].values)\n",
    "(dsi.t2m - 273.15).isel(point=2).plot(color='red', x=\"valid_time\", marker=\".\", label=dsi.point[2].values)\n",
    "\n",
    "dsi.dp.isel(point=0).plot(color='blue', x=\"valid_time\", marker=\".\", linestyle='dashed')\n",
    "dsi.dp.isel(point=1).plot(color='purple', x=\"valid_time\", marker=\".\", linestyle='dashed')\n",
    "dsi.dp.isel(point=2).plot(color='red', x=\"valid_time\", marker=\".\", linestyle='dashed')\n",
    "\n",
    "plt.grid()\n",
    "plt.ylabel('Temperature and dew point (celcius)')\n",
    "plt.xlabel('Time and date (UTC)')\n",
    "plt.title('HRRR Temperature and dewpoint forecasts')\n",
    "\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "6ada7dd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def custom_plotfunc(movie_ds, fig, tt, *args, **kwargs):\n",
    "    #nfig = plt.figure(figsize=[16,8])\n",
    "    movie_dsi = kwargs['movie_dsi']\n",
    "    ax = fig.subplots( ncols=1, \n",
    "                      subplot_kw={'autoscale_on': False,\n",
    "                                  'projection' : movie_ds.herbie.crs})\n",
    "    \n",
    "    p = ax.pcolormesh(\n",
    "            movie_ds.longitude,\n",
    "            movie_ds.latitude,\n",
    "            movie_ds.t2m.isel(step=tt) - 273.15,\n",
    "            transform=pc,\n",
    "            cmap=cm_colorblind.ChaseSpectral,\n",
    "            vmin=-8, vmax=8\n",
    "        )\n",
    "    coast = cfeature.NaturalEarthFeature(category='physical', scale='10m',\n",
    "                                edgecolor='black', name='coastline')\n",
    "\n",
    "    counties = cfeature.NaturalEarthFeature(category='cultural', scale='10m',\n",
    "                                edgecolor='black', name='admin_2_counties_lakes', alpha=.2)\n",
    "\n",
    "    ax.add_feature(cfeature.STATES, facecolor='none', edgecolor='black')\n",
    "    ax.add_feature(coast, facecolor='none', edgecolor='black')\n",
    "    ax.add_feature(counties, facecolor='none', edgecolor='black')\n",
    "    \n",
    "    plt.scatter(movie_dsi.longitude, movie_dsi.latitude, transform=pc, marker='o', color='r')\n",
    "\n",
    "    for i in (movie_dsi.t2m-273.15).isel(step=tt):\n",
    "        plt.text(\n",
    "            i.longitude.item(),\n",
    "            i.latitude.item(),\n",
    "            f\"{i.point.item()}\\n2m Temp={i.item():.1f}\",\n",
    "            transform=pc, size=8\n",
    "        )\n",
    "\n",
    "\n",
    "    plt.colorbar(\n",
    "        p,\n",
    "        ax=ax,\n",
    "        orientation=\"horizontal\",\n",
    "        pad=0.01,\n",
    "        shrink=0.8\n",
    "    )\n",
    "\n",
    "    ax.set_title(\n",
    "        f\"{movie_ds.model.upper()}: {ds.description}\\nValid: {movie_ds.valid_time[tt].dt.strftime('%H UTC %d %b %Y').item()}\",\n",
    "        loc=\"left\",\n",
    "    )\n",
    "    \n",
    "    ax.set_title(movie_ds.t2m.GRIB_name, loc=\"right\")\n",
    "    ax.set_extent([-89, -86.5, 41, 42], crs=pc)\n",
    "    gl = ax.gridlines(xlocs=np.linspace(-89,-86,5), ylocs=np.linspace(41.,42.,5),draw_labels=True)\n",
    "    gl.top_labels = False\n",
    "    gl.right_labels = False\n",
    "    gl.left_labels = True\n",
    "    gl.bottom_labels = True    \n",
    "    return None, None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "84838598",
   "metadata": {},
   "outputs": [],
   "source": [
    "font = {'family' : 'fantasy',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 10}\n",
    "\n",
    "rc('font', **font)\n",
    "\n",
    "mov_custom = xmovie.Movie(ds, custom_plotfunc, input_check=False, framedim='step',\n",
    "                          figsize=[16,8],pixelwidth=1920, \n",
    "                          pixelheight=1080, **{'movie_dsi':dsi})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "87478d8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1920x1080 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mov_custom.preview(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "12896d6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Movie created at hrrr.mov\n"
     ]
    }
   ],
   "source": [
    "mov_custom.save(\n",
    "    'hrrr.mov',\n",
    "    overwrite_existing=True,framerate=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "47eb6c5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ffmpeg version 5.1.2 Copyright (c) 2000-2022 the FFmpeg developers\n",
      "  built with clang version 14.0.6\n",
      "  configuration: --prefix=/Users/runner/miniforge3/conda-bld/ffmpeg_1671040319349/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pl --cc=x86_64-apple-darwin13.4.0-clang --cxx=x86_64-apple-darwin13.4.0-clang++ --nm=x86_64-apple-darwin13.4.0-nm --ar=x86_64-apple-darwin13.4.0-ar --disable-doc --disable-openssl --enable-demuxer=dash --enable-hardcoded-tables --enable-libfreetype --enable-libfontconfig --enable-libopenh264 --disable-videotoolbox --enable-gnutls --enable-libmp3lame --enable-libvpx --enable-pthreads --enable-gpl --enable-libx264 --enable-libx265 --enable-libaom --enable-libsvtav1 --enable-libxml2 --enable-pic --enable-shared --disable-static --enable-version3 --enable-zlib --pkg-config=/Users/runner/miniforge3/conda-bld/ffmpeg_1671040319349/_build_env/bin/pkg-config\n",
      "  libavutil      57. 28.100 / 57. 28.100\n",
      "  libavcodec     59. 37.100 / 59. 37.100\n",
      "  libavformat    59. 27.100 / 59. 27.100\n",
      "  libavdevice    59.  7.100 / 59.  7.100\n",
      "  libavfilter     8. 44.100 /  8. 44.100\n",
      "  libswscale      6.  7.100 /  6.  7.100\n",
      "  libswresample   4.  7.100 /  4.  7.100\n",
      "  libpostproc    56.  6.100 / 56.  6.100\n",
      "Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'hrrr.mov':\n",
      "  Metadata:\n",
      "    major_brand     : qt  \n",
      "    minor_version   : 512\n",
      "    compatible_brands: qt  \n",
      "    encoder         : Lavf59.27.100\n",
      "  Duration: 00:00:09.40, start: 0.000000, bitrate: 3291 kb/s\n",
      "  Stream #0:0[0x1]: Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1920x1080 [SAR 1:1 DAR 16:9], 3290 kb/s, 5 fps, 5 tbr, 10240 tbn (default)\n",
      "    Metadata:\n",
      "      handler_name    : VideoHandler\n",
      "      vendor_id       : FFMP\n",
      "      encoder         : Lavc59.37.100 libx264\n",
      "Stream mapping:\n",
      "  Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))\n",
      "Press [q] to stop, [?] for help\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0musing SAR=1/1\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0musing cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mprofile High, level 4.0, 4:2:0, 8-bit\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0m264 - core 164 r3095 baee400 - H.264/MPEG-4 AVC codec - Copyleft 2003-2022 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=24 lookahead_threads=4 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=5 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\n",
      "Output #0, mov, to './hrrr_c1078883606.mov':\n",
      "  Metadata:\n",
      "    major_brand     : qt  \n",
      "    minor_version   : 512\n",
      "    compatible_brands: qt  \n",
      "    encoder         : Lavf59.27.100\n",
      "  Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(progressive), 1750x1080 [SAR 1:1 DAR 175:108], q=2-31, 5 fps, 10240 tbn (default)\n",
      "    Metadata:\n",
      "      handler_name    : VideoHandler\n",
      "      vendor_id       : FFMP\n",
      "      encoder         : Lavc59.37.100 libx264\n",
      "    Side data:\n",
      "      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\n",
      "frame=   47 fps=0.0 q=-1.0 Lsize=    1737kB time=00:00:08.80 bitrate=1616.6kbits/s speed=10.3x    \n",
      "video:1735kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.078228%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mframe I:1     Avg QP:19.44  size: 94113\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mframe P:17    Avg QP:19.34  size: 54857\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mframe B:29    Avg QP:21.72  size: 25845\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mconsecutive B-frames:  6.4% 29.8% 12.8% 51.1%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mmb I  I16..4: 18.5% 51.9% 29.6%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mmb P  I16..4: 11.2% 13.4% 20.2%  P16..4:  5.8%  2.6%  1.0%  0.0%  0.0%    skip:45.8%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mmb B  I16..4:  7.2%  5.6%  8.7%  B16..8:  9.3%  4.0%  1.0%  direct: 9.9%  skip:54.5%  L0:47.1% L1:42.5% BI:10.4%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0m8x8 transform intra:29.8% inter:73.1%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mcoded y,uvDC,uvAC intra: 31.1% 72.4% 51.5% inter: 15.0% 16.9% 4.6%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mi16 v,h,dc,p: 50% 45%  4%  1%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mi8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 48% 30% 15%  3%  0%  1%  0%  0%  2%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mi4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 58% 32%  7%  0%  0%  1%  0%  0%  1%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mi8c dc,h,v,p: 39% 31% 28%  2%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mWeighted P-Frames: Y:0.0% UV:0.0%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mref P L0: 48.9% 16.5% 18.7% 15.9%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mref B L0: 77.6% 19.2%  3.1%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mref B L1: 93.0%  7.0%\n",
      "\u001b[1;36m[libx264 @ 0x7fe557f11400] \u001b[0mkb/s:1511.64\n"
     ]
    }
   ],
   "source": [
    "#This is a very annoying kluge to get around the browser caching issue \n",
    "__counter__ = random.randint(0,2e9)\n",
    "voname = './hrrr_c%d.mov' %__counter__\n",
    "\n",
    "!ffmpeg -y -i hrrr.mov -vf crop=1750:1080:150:0 {voname}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "620bccf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<video src=\"./hrrr_c1078883606.mov\" controls muted autoplay  width=\"1100\" >\n",
       "      Your browser does not support the <code>video</code> element.\n",
       "    </video>"
      ],
      "text/plain": [
       "<IPython.core.display.Video object>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPython.display.Video(voname, width = 1100 , html_attributes=\"controls muted autoplay\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "c3e5f250",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GIF created at ./hrrr1126172340.gif\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"./hrrr1126172340.gif\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#This is a very annoying kluge to get around the browser caching issue \n",
    "__counter__ = random.randint(0,2e9)\n",
    "\n",
    "oname = './hrrr%d.gif' %__counter__\n",
    "xmovie.core.convert_gif(voname, \n",
    "                        resolution=[2000, 1000], \n",
    "                        remove_movie=False,\n",
    "                       gpath=oname,\n",
    "                       gif_palette=False)\n",
    "\n",
    "HTML('<img src=\"./hrrr%d.gif\">' %__counter__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69e1da57",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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