Herbie_Chicago_precip.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "79a68d4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rc\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "import random\n",
    "from IPython.display import HTML\n",
    "\n",
    "import IPython\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": 45,
   "id": "1a3bece6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Could not find 7/63 GRIB files.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\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 19:00 UTC\u001b[92m F02\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3msource=aws\u001b[0m"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie_latest(model=\"hrrr\", fxx=range(0,10))\n",
    "H"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "9656bab5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Found ┊ model=hrrr ┊ \u001b[3mproduct=sfc\u001b[0m ┊ \u001b[38;2;41;130;13m2023-Jan-15 12:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grib_message</th>\n",
       "      <th>start_byte</th>\n",
       "      <th>end_byte</th>\n",
       "      <th>range</th>\n",
       "      <th>reference_time</th>\n",
       "      <th>valid_time</th>\n",
       "      <th>variable</th>\n",
       "      <th>level</th>\n",
       "      <th>forecast_time</th>\n",
       "      <th>search_this</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>84</td>\n",
       "      <td>56387812</td>\n",
       "      <td>56388024</td>\n",
       "      <td>56387812-56388024</td>\n",
       "      <td>2023-01-15 12:00:00</td>\n",
       "      <td>2023-01-15 12:00:00</td>\n",
       "      <td>APCP</td>\n",
       "      <td>surface</td>\n",
       "      <td>0-0 day acc fcst</td>\n",
       "      <td>:APCP:surface:0-0 day acc fcst</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    grib_message  start_byte  end_byte              range      reference_time  \\\n",
       "83            84    56387812  56388024  56387812-56388024 2023-01-15 12:00:00   \n",
       "\n",
       "            valid_time variable    level     forecast_time  \\\n",
       "83 2023-01-15 12:00:00     APCP  surface  0-0 day acc fcst   \n",
       "\n",
       "                       search_this  \n",
       "83  :APCP:surface:0-0 day acc fcst  "
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\n",
    "    mt,  # model run date\n",
    "    model=\"hrrr\",  # model name\n",
    "    product=\"sfc\",  # model produce name (model dependent)\n",
    "    fxx=0,  # forecast lead time\n",
    ")\n",
    "H.read_idx(searchString=\":APCP\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "dcb56bf1",
   "metadata": {},
   "outputs": [],
   "source": [
    "qstr = '(' \n",
    "nfcst = 47\n",
    "for i in range(nfcst):\n",
    "    if i != nfcst -1:\n",
    "        qstr = qstr +  f':APCP:surface:{i}-{i+1} h*|'\n",
    "    else:\n",
    "        qstr = qstr +  f':APCP:surface:{i}-{i+1} h*)'\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "d95e2fa0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'(:APCP:surface:0-1 h*|:APCP:surface:1-2 h*|:APCP:surface:2-3 h*|:APCP:surface:3-4 h*|:APCP:surface:4-5 h*|:APCP:surface:5-6 h*|:APCP:surface:6-7 h*|:APCP:surface:7-8 h*|:APCP:surface:8-9 h*|:APCP:surface:9-10 h*|:APCP:surface:10-11 h*|:APCP:surface:11-12 h*|:APCP:surface:12-13 h*|:APCP:surface:13-14 h*|:APCP:surface:14-15 h*|:APCP:surface:15-16 h*|:APCP:surface:16-17 h*|:APCP:surface:17-18 h*|:APCP:surface:18-19 h*|:APCP:surface:19-20 h*|:APCP:surface:20-21 h*|:APCP:surface:21-22 h*|:APCP:surface:22-23 h*|:APCP:surface:23-24 h*|:APCP:surface:24-25 h*|:APCP:surface:25-26 h*|:APCP:surface:26-27 h*|:APCP:surface:27-28 h*|:APCP:surface:28-29 h*|:APCP:surface:29-30 h*|:APCP:surface:30-31 h*|:APCP:surface:31-32 h*|:APCP:surface:32-33 h*|:APCP:surface:33-34 h*|:APCP:surface:34-35 h*|:APCP:surface:35-36 h*|:APCP:surface:36-37 h*|:APCP:surface:37-38 h*|:APCP:surface:38-39 h*|:APCP:surface:39-40 h*|:APCP:surface:40-41 h*|:APCP:surface:41-42 h*|:APCP:surface:42-43 h*|:APCP:surface:43-44 h*|:APCP:surface:44-45 h*|:APCP:surface:45-46 h*|:APCP:surface:46-47 h*)'"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qstr\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "c8d5cdc1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No GRIB messages found. There might be something wrong with searchString='(:APCP:surface:0-1 h*|:APCP:surface:1-2 h*|:APCP:surface:2-3 h*|:APCP:surface:3-4 h*|:APCP:surface:4-5 h*|:APCP:surface:5-6 h*|:APCP:surface:6-7 h*|:APCP:surface:7-8 h*|:APCP:surface:8-9 h*|:APCP:surface:9-10 h*|:APCP:surface:10-11 h*|:APCP:surface:11-12 h*|:APCP:surface:12-13 h*|:APCP:surface:13-14 h*|:APCP:surface:14-15 h*|:APCP:surface:15-16 h*|:APCP:surface:16-17 h*|:APCP:surface:17-18 h*|:APCP:surface:18-19 h*|:APCP:surface:19-20 h*|:APCP:surface:20-21 h*|:APCP:surface:21-22 h*|:APCP:surface:22-23 h*|:APCP:surface:23-24 h*|:APCP:surface:24-25 h*|:APCP:surface:25-26 h*|:APCP:surface:26-27 h*|:APCP:surface:27-28 h*|:APCP:surface:28-29 h*|:APCP:surface:29-30 h*|:APCP:surface:30-31 h*|:APCP:surface:31-32 h*|:APCP:surface:32-33 h*|:APCP:surface:33-34 h*|:APCP:surface:34-35 h*|:APCP:surface:35-36 h*|:APCP:surface:36-37 h*|:APCP:surface:37-38 h*|:APCP:surface:38-39 h*|:APCP:surface:39-40 h*|:APCP:surface:40-41 h*|:APCP:surface:41-42 h*|:APCP:surface:42-43 h*|:APCP:surface:43-44 h*|:APCP:surface:44-45 h*|:APCP:surface:45-46 h*|:APCP:surface:46-47 h*)'\n",
      "\n",
      "Use regular expression to search for lines in the index file.\n",
      "Here are some examples you can use for the wgrib2-style `searchString`\n",
      "\n",
      "    ============================= ===============================================\n",
      "    ``searchString=``             Messages that will be downloaded\n",
      "    ============================= ===============================================\n",
      "    \":TMP:2 m\"                    Temperature at 2 m.\n",
      "    \":TMP:\"                       Temperature fields at all levels.\n",
      "    \":UGRD:.* mb\"                 U Wind at all pressure levels.\n",
      "    \":500 mb:\"                    All variables on the 500 mb level.\n",
      "    \":APCP:\"                      All accumulated precipitation fields.\n",
      "    \":APCP:surface:0-[1-9]*\"      Accumulated precip since initialization time\n",
      "    \":APCP:surface:[1-9]*-[1-9]*\" Accumulated precip over last hour\n",
      "    \":UGRD:10 m\"                  U wind component at 10 meters.\n",
      "    \":(U|V)GRD:(10|80) m\"         U and V wind component at 10 and 80 m.\n",
      "    \":(U|V)GRD:\"                  U and V wind component at all levels.\n",
      "    \":(?:U|V)GRD:[0-9]+ hybrid\"   U and V wind components at all hybrid levels\n",
      "    \":(?:U|V)GRD:[0-9]+ mb\"        U and V wind components at all pressure levels\n",
      "    \":.GRD:\"                      (Same as above)\n",
      "    \":(TMP|DPT):\"                 Temperature and Dew Point for all levels .\n",
      "    \":(TMP|DPT|RH):\"              TMP, DPT, and Relative Humidity for all levels.\n",
      "    \":REFC:\"                      Composite Reflectivity\n",
      "    \":surface:\"                   All variables at the surface.\n",
      "    ============================= ===============================================\n",
      "\n",
      "If you need help with regular expression, search the web or look at\n",
      "this cheatsheet: https://www.petefreitag.com/cheatsheets/regex/.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/scollis/miniconda3/envs/models/lib/python3.11/site-packages/herbie/archive.py:692: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n",
      "  logic = df.search_this.str.contains(searchString)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grib_message</th>\n",
       "      <th>start_byte</th>\n",
       "      <th>end_byte</th>\n",
       "      <th>range</th>\n",
       "      <th>reference_time</th>\n",
       "      <th>valid_time</th>\n",
       "      <th>variable</th>\n",
       "      <th>level</th>\n",
       "      <th>forecast_time</th>\n",
       "      <th>search_this</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [grib_message, start_byte, end_byte, range, reference_time, valid_time, variable, level, forecast_time, search_this]\n",
       "Index: []"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.read_idx(searchString=qstr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "118414dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture \n",
    "#Handles warnings..\n",
    "\n",
    "mt = \"2023-01-15 12:00\"\n",
    "\n",
    "FH = FastHerbie([mt], model=\"hrrr\", fxx=range(1,nfcst))\n",
    "FH.download(qstr) #This needs a good (and cheap) internet connection... ~1m on my connection\n",
    "ds = FH.xarray(qstr, remove_grib=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "00329298",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x19e50bf90>"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.tp.isel(step=30).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "0503be24",
   "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 \"tp\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n"
     ]
    },
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       "  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: 46, point: 3)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-01-15T12:00:00\n",
       "  * step                 (step) timedelta64[ns] 01:00:00 ... 1 days 22:00:00\n",
       "    surface              float64 0.0\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] 2023-01-15T13:00:00 ... 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",
       "    tp                   (point, step) float32 0.0 0.0 0.0 0.0 ... 0.0 0.013 0.0\n",
       "    gribfile_projection  (point) object None None 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:            (:APCP:surface:0-1 h*|:APCP:surface:1-2 h*|:APCP...</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-c828391c-e662-4e57-804a-0f9c45360af3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c828391c-e662-4e57-804a-0f9c45360af3' 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>: 46</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-0786c829-8978-48ac-976c-6289a97543cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0786c829-8978-48ac-976c-6289a97543cd' 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-2868a7f7-79b9-42d6-b03b-ad7e291cdd3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2868a7f7-79b9-42d6-b03b-ad7e291cdd3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b772ad8-1e95-4f2d-a8d2-15fa313aa403' class='xr-var-data-in' type='checkbox'><label for='data-7b772ad8-1e95-4f2d-a8d2-15fa313aa403' 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'>01:00:00 ... 1 days 22:00:00</div><input id='attrs-faf00963-db4f-443b-9e4a-1cb44c73aa7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faf00963-db4f-443b-9e4a-1cb44c73aa7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cb4f898-9603-40b5-8b61-c3a5cd5f9a2d' class='xr-var-data-in' type='checkbox'><label for='data-0cb4f898-9603-40b5-8b61-c3a5cd5f9a2d' 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([  3600000000000,   7200000000000,  10800000000000,  14400000000000,\n",
       "        18000000000000,  21600000000000,  25200000000000,  28800000000000,\n",
       "        32400000000000,  36000000000000,  39600000000000,  43200000000000,\n",
       "        46800000000000,  50400000000000,  54000000000000,  57600000000000,\n",
       "        61200000000000,  64800000000000,  68400000000000,  72000000000000,\n",
       "        75600000000000,  79200000000000,  82800000000000,  86400000000000,\n",
       "        90000000000000,  93600000000000,  97200000000000, 100800000000000,\n",
       "       104400000000000, 108000000000000, 111600000000000, 115200000000000,\n",
       "       118800000000000, 122400000000000, 126000000000000, 129600000000000,\n",
       "       133200000000000, 136800000000000, 140400000000000, 144000000000000,\n",
       "       147600000000000, 151200000000000, 154800000000000, 158400000000000,\n",
       "       162000000000000, 165600000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-95dd394f-22bb-4911-8337-be40f557d0f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95dd394f-22bb-4911-8337-be40f557d0f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6888481-6dc6-4e9f-a67d-3c7e42c9c048' class='xr-var-data-in' type='checkbox'><label for='data-c6888481-6dc6-4e9f-a67d-3c7e42c9c048' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-8fb7d5e9-a5b8-432f-96f2-73f21acb0e49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fb7d5e9-a5b8-432f-96f2-73f21acb0e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e92e26b-af45-4e9e-b3a8-8da753ced94c' class='xr-var-data-in' type='checkbox'><label for='data-7e92e26b-af45-4e9e-b3a8-8da753ced94c' 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-2df0afbf-7d01-40e1-bbe9-056942967e06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2df0afbf-7d01-40e1-bbe9-056942967e06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f370ecfb-6374-4305-96e9-c1fb16f9ce65' class='xr-var-data-in' type='checkbox'><label for='data-f370ecfb-6374-4305-96e9-c1fb16f9ce65' 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'>2023-01-15T13:00:00 ... 2023-01-...</div><input id='attrs-e4616cc8-f8d7-41ac-b46b-d77c6b2335b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4616cc8-f8d7-41ac-b46b-d77c6b2335b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-688dd0df-04aa-427b-bd16-972a387566ca' class='xr-var-data-in' type='checkbox'><label for='data-688dd0df-04aa-427b-bd16-972a387566ca' 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;2023-01-15T13:00:00.000000000&#x27;, &#x27;2023-01-15T14:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T15:00:00.000000000&#x27;, &#x27;2023-01-15T16:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T17:00:00.000000000&#x27;, &#x27;2023-01-15T18:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T19:00:00.000000000&#x27;, &#x27;2023-01-15T20:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T21:00:00.000000000&#x27;, &#x27;2023-01-15T22:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-15T23:00:00.000000000&#x27;, &#x27;2023-01-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T01:00:00.000000000&#x27;, &#x27;2023-01-16T02:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T03:00:00.000000000&#x27;, &#x27;2023-01-16T04:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T05:00:00.000000000&#x27;, &#x27;2023-01-16T06:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T07:00:00.000000000&#x27;, &#x27;2023-01-16T08:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T09:00:00.000000000&#x27;, &#x27;2023-01-16T10:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T11:00:00.000000000&#x27;, &#x27;2023-01-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T13:00:00.000000000&#x27;, &#x27;2023-01-16T14:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T15:00:00.000000000&#x27;, &#x27;2023-01-16T16:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T17:00:00.000000000&#x27;, &#x27;2023-01-16T18:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T19:00:00.000000000&#x27;, &#x27;2023-01-16T20:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T21:00:00.000000000&#x27;, &#x27;2023-01-16T22:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-16T23:00:00.000000000&#x27;, &#x27;2023-01-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T01:00:00.000000000&#x27;, &#x27;2023-01-17T02:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T03:00:00.000000000&#x27;, &#x27;2023-01-17T04:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T05:00:00.000000000&#x27;, &#x27;2023-01-17T06:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T07:00:00.000000000&#x27;, &#x27;2023-01-17T08:00:00.000000000&#x27;,\n",
       "       &#x27;2023-01-17T09:00:00.000000000&#x27;, &#x27;2023-01-17T10:00:00.000000000&#x27;],\n",
       "      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-05be10e1-f46c-4bfe-975f-dc7425c86dd2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05be10e1-f46c-4bfe-975f-dc7425c86dd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71369e4e-7192-4362-8c39-1a80ae9cb253' class='xr-var-data-in' type='checkbox'><label for='data-71369e4e-7192-4362-8c39-1a80ae9cb253' 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 0x19e3e9bd0&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-549c6c41-2e71-4ba9-88b0-ab463ac0a0d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-549c6c41-2e71-4ba9-88b0-ab463ac0a0d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baead225-d226-4d58-9bfb-00f3861b5df1' class='xr-var-data-in' type='checkbox'><label for='data-baead225-d226-4d58-9bfb-00f3861b5df1' 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-9ff9c8f6-110d-4927-bb9c-697ac9bede9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ff9c8f6-110d-4927-bb9c-697ac9bede9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f747e97-64b0-4b11-a3de-117d1169dd13' class='xr-var-data-in' type='checkbox'><label for='data-0f747e97-64b0-4b11-a3de-117d1169dd13' 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-4f865f31-0469-444e-a0a3-054fd2194480' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f865f31-0469-444e-a0a3-054fd2194480' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7463ed0-4cf2-4589-a460-dfc581096716' class='xr-var-data-in' type='checkbox'><label for='data-c7463ed0-4cf2-4589-a460-dfc581096716' 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-8de39120-94c8-4ec2-8126-6ac85092da79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8de39120-94c8-4ec2-8126-6ac85092da79' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tp</span></div><div class='xr-var-dims'>(point, step)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.013 0.0</div><input id='attrs-63b831d8-82d4-4cc8-b7aa-e7baabac106b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63b831d8-82d4-4cc8-b7aa-e7baabac106b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb6718de-36dc-4a65-a7e4-557777eb019c' class='xr-var-data-in' type='checkbox'><label for='data-bb6718de-36dc-4a65-a7e4-557777eb019c' 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>228228</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>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</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>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>unknown</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>Total Precipitation</dd><dt><span>GRIB_parameterName :</span></dt><dd>Total precipitation</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>kg m-2</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 1.000e-03, 3.400e-02, 7.790e-01, 7.700e-01, 8.170e-01,\n",
       "        2.100e-01, 9.240e-01, 1.660e+00, 5.700e-02, 2.000e-03, 7.000e-03,\n",
       "        0.000e+00, 0.000e+00, 3.500e-02, 7.510e-01, 6.000e-03, 0.000e+00,\n",
       "        0.000e+00, 1.000e-03, 7.000e-03, 1.000e-03],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 2.900e-02, 9.220e-01, 1.174e+00, 6.760e-01, 7.730e-01,\n",
       "        6.530e-01, 2.528e+00, 9.250e-01, 7.000e-03, 6.900e-02, 1.000e-03,\n",
       "        0.000e+00, 0.000e+00, 4.600e-02, 7.520e-01, 0.000e+00, 0.000e+00,\n",
       "        1.000e-03, 0.000e+00, 2.200e-02, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 1.900e-02, 1.107e+00, 1.335e+00, 9.250e-01, 8.560e-01,\n",
       "        4.640e-01, 2.692e+00, 9.090e-01, 1.700e-02, 7.000e-02, 2.800e-02,\n",
       "        0.000e+00, 0.000e+00, 1.900e-02, 1.400e-01, 0.000e+00, 0.000e+00,\n",
       "        2.000e-03, 0.000e+00, 1.300e-02, 0.000e+00]], 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-35fab7f7-0817-4d18-8759-34669f6fdba0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35fab7f7-0817-4d18-8759-34669f6fdba0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45c84bf6-fb34-4a08-ac0c-4e4d1b22b657' class='xr-var-data-in' type='checkbox'><label for='data-45c84bf6-fb34-4a08-ac0c-4e4d1b22b657' 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></ul></div></li><li class='xr-section-item'><input id='section-356e04fa-e536-4a9f-8efa-2d07d6c55f80' class='xr-section-summary-in' type='checkbox'  ><label for='section-356e04fa-e536-4a9f-8efa-2d07d6c55f80' 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-4e0ff32c-6103-42ce-955d-f1753d562975' class='xr-index-data-in' type='checkbox'/><label for='index-4e0ff32c-6103-42ce-955d-f1753d562975' 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 01:00:00&#x27;, &#x27;0 days 02:00:00&#x27;, &#x27;0 days 03:00:00&#x27;,\n",
       "                &#x27;0 days 04:00:00&#x27;, &#x27;0 days 05:00:00&#x27;, &#x27;0 days 06:00:00&#x27;,\n",
       "                &#x27;0 days 07:00:00&#x27;, &#x27;0 days 08:00:00&#x27;, &#x27;0 days 09:00:00&#x27;,\n",
       "                &#x27;0 days 10:00:00&#x27;, &#x27;0 days 11:00:00&#x27;, &#x27;0 days 12:00:00&#x27;,\n",
       "                &#x27;0 days 13:00:00&#x27;, &#x27;0 days 14:00:00&#x27;, &#x27;0 days 15:00:00&#x27;,\n",
       "                &#x27;0 days 16:00:00&#x27;, &#x27;0 days 17:00:00&#x27;, &#x27;0 days 18:00:00&#x27;,\n",
       "                &#x27;0 days 19:00:00&#x27;, &#x27;0 days 20:00:00&#x27;, &#x27;0 days 21:00:00&#x27;,\n",
       "                &#x27;0 days 22:00:00&#x27;, &#x27;0 days 23:00:00&#x27;, &#x27;1 days 00:00:00&#x27;,\n",
       "                &#x27;1 days 01:00:00&#x27;, &#x27;1 days 02:00:00&#x27;, &#x27;1 days 03:00:00&#x27;,\n",
       "                &#x27;1 days 04:00:00&#x27;, &#x27;1 days 05:00:00&#x27;, &#x27;1 days 06:00:00&#x27;,\n",
       "                &#x27;1 days 07:00:00&#x27;, &#x27;1 days 08:00:00&#x27;, &#x27;1 days 09:00:00&#x27;,\n",
       "                &#x27;1 days 10:00:00&#x27;, &#x27;1 days 11:00:00&#x27;, &#x27;1 days 12:00:00&#x27;,\n",
       "                &#x27;1 days 13:00:00&#x27;, &#x27;1 days 14:00:00&#x27;, &#x27;1 days 15:00:00&#x27;,\n",
       "                &#x27;1 days 16:00:00&#x27;, &#x27;1 days 17:00:00&#x27;, &#x27;1 days 18:00:00&#x27;,\n",
       "                &#x27;1 days 19:00:00&#x27;, &#x27;1 days 20:00:00&#x27;, &#x27;1 days 21:00:00&#x27;,\n",
       "                &#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-549d92ef-d41e-4631-9482-1c1b3dc44287' class='xr-index-data-in' type='checkbox'/><label for='index-549d92ef-d41e-4631-9482-1c1b3dc44287' 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-5d448c34-aed0-4859-ab13-5376bbf8d5bf' class='xr-section-summary-in' type='checkbox'  ><label for='section-5d448c34-aed0-4859-ab13-5376bbf8d5bf' 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>(:APCP:surface:0-1 h*|:APCP:surface:1-2 h*|:APCP:surface:2-3 h*|:APCP:surface:3-4 h*|:APCP:surface:4-5 h*|:APCP:surface:5-6 h*|:APCP:surface:6-7 h*|:APCP:surface:7-8 h*|:APCP:surface:8-9 h*|:APCP:surface:9-10 h*|:APCP:surface:10-11 h*|:APCP:surface:11-12 h*|:APCP:surface:12-13 h*|:APCP:surface:13-14 h*|:APCP:surface:14-15 h*|:APCP:surface:15-16 h*|:APCP:surface:16-17 h*|:APCP:surface:17-18 h*|:APCP:surface:18-19 h*|:APCP:surface:19-20 h*|:APCP:surface:20-21 h*|:APCP:surface:21-22 h*|:APCP:surface:22-23 h*|:APCP:surface:23-24 h*|:APCP:surface:24-25 h*|:APCP:surface:25-26 h*|:APCP:surface:26-27 h*|:APCP:surface:27-28 h*|:APCP:surface:28-29 h*|:APCP:surface:29-30 h*|:APCP:surface:30-31 h*|:APCP:surface:31-32 h*|:APCP:surface:32-33 h*|:APCP:surface:33-34 h*|:APCP:surface:34-35 h*|:APCP:surface:35-36 h*|:APCP:surface:36-37 h*|:APCP:surface:37-38 h*|:APCP:surface:38-39 h*|:APCP:surface:39-40 h*|:APCP:surface:40-41 h*|:APCP:surface:41-42 h*|:APCP:surface:42-43 h*|:APCP:surface:43-44 h*|:APCP:surface:44-45 h*|:APCP:surface:45-46 h*|:APCP:surface:46-47 h*)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (step: 46, point: 3)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2023-01-15T12:00:00\n",
       "  * step                 (step) timedelta64[ns] 01:00:00 ... 1 days 22:00:00\n",
       "    surface              float64 0.0\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] 2023-01-15T13:00:00 ... 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",
       "    tp                   (point, step) float32 0.0 0.0 0.0 0.0 ... 0.0 0.013 0.0\n",
       "    gribfile_projection  (point) object None None 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:            (:APCP:surface:0-1 h*|:APCP:surface:1-2 h*|:APCP..."
      ]
     },
     "execution_count": 155,
     "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": 157,
   "id": "6b5a43bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x19e4206d0>"
      ]
     },
     "execution_count": 157,
     "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": [
    "inches_per_mm = 0.0393701\n",
    "\n",
    "plt.figure(figsize=[15,8])\n",
    "(dsi.tp*inches_per_mm).isel(point=0).plot(color='blue', x=\"valid_time\", marker=\".\", label=dsi.point[0].values)\n",
    "(dsi.tp*inches_per_mm).isel(point=1).plot(color='purple', x=\"valid_time\", marker=\".\", label=dsi.point[1].values)\n",
    "(dsi.tp*inches_per_mm).isel(point=2).plot(color='red', x=\"valid_time\", marker=\".\", label=dsi.point[2].values)\n",
    "\n",
    "plt.grid()\n",
    "plt.ylabel('Rain Rate (in/hr)')\n",
    "plt.xlabel('Time and date (UTC)')\n",
    "plt.title('HRRR rain rate forecasts')\n",
    "\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "ff512b70",
   "metadata": {},
   "outputs": [],
   "source": [
    "inches_per_mm = 0.0393701\n",
    "\n",
    "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.tp.isel(step=tt)*inches_per_mm,\n",
    "            transform=pc,\n",
    "            cmap=cm_colorblind.HomeyerRainbow,\n",
    "            vmin=0, vmax=.15\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.tp*inches_per_mm).isel(step=tt):\n",
    "        plt.text(\n",
    "            i.longitude.item(),\n",
    "            i.latitude.item(),\n",
    "            f\"{i.point.item()}\\n2m RR={i.item():.2f}\",\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.tp.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": 182,
   "id": "b6f33224",
   "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": 183,
   "id": "7c82648a",
   "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(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "149495fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Movie created at hrrr_rain.mov\n"
     ]
    }
   ],
   "source": [
    "mov_custom.save(\n",
    "    'hrrr_rain.mov',\n",
    "    overwrite_existing=True,framerate=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "5b806e82",
   "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_rain.mov':\n",
      "  Metadata:\n",
      "    major_brand     : qt  \n",
      "    minor_version   : 512\n",
      "    compatible_brands: qt  \n",
      "    encoder         : Lavf59.27.100\n",
      "  Duration: 00:00:09.20, start: 0.000000, bitrate: 1265 kb/s\n",
      "  Stream #0:0[0x1]: Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1920x1080 [SAR 1:1 DAR 16:9], 1264 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 @ 0x7fd82e705b40] \u001b[0musing SAR=1/1\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0musing cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mprofile High, level 4.0, 4:2:0, 8-bit\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \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_rc1315679183.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=   46 fps=0.0 q=-1.0 Lsize=     703kB time=00:00:08.60 bitrate= 669.2kbits/s speed=17.1x    \n",
      "video:701kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.187448%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mframe I:1     Avg QP:12.04  size: 98015\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mframe P:17    Avg QP:17.41  size: 21802\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mframe B:28    Avg QP:20.99  size:  8883\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mconsecutive B-frames:  8.7% 26.1% 13.0% 52.2%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mmb I  I16..4: 41.1% 39.9% 19.0%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mmb P  I16..4:  3.6%  5.8%  6.0%  P16..4:  4.4%  1.4%  0.7%  0.0%  0.0%    skip:78.0%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mmb B  I16..4:  1.5%  1.7%  2.4%  B16..8:  3.0%  0.9%  0.3%  direct: 1.1%  skip:89.0%  L0:50.8% L1:42.4% BI: 6.8%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0m8x8 transform intra:36.0% inter:72.8%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mcoded y,uvDC,uvAC intra: 28.8% 66.5% 53.3% inter: 3.0% 3.8% 1.5%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mi16 v,h,dc,p: 69% 26%  4%  1%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mi8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 47% 19% 29%  2%  0%  0%  0%  0%  1%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mi4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 61% 29%  6%  1%  0%  1%  0%  1%  1%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mi8c dc,h,v,p: 43% 23% 30%  4%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mWeighted P-Frames: Y:0.0% UV:0.0%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mref P L0: 41.8% 11.7% 31.1% 15.4%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mref B L0: 65.1% 30.4%  4.5%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mref B L1: 96.1%  3.9%\n",
      "\u001b[1;36m[libx264 @ 0x7fd82e705b40] \u001b[0mkb/s:623.81\n"
     ]
    }
   ],
   "source": [
    "#This is a very annoying kluge to get around the browser caching issue \n",
    "__counter__ = random.randint(0,2e9)\n",
    "voname = './hrrr_rc%d.mov' %__counter__\n",
    "\n",
    "!ffmpeg -y -i hrrr_rain.mov -vf crop=1750:1080:150:0 {voname}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "5c8e34d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<video src=\"./hrrr_rc1315679183.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": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IPython.display.Video(voname, width = 1100 , html_attributes=\"controls muted autoplay\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "0c7ea1ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GIF created at ./hrrr_rain652670372.gif\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"./hrrr_rain652670372.gif\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 187,
     "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_rain%d.gif' %__counter__\n",
    "xmovie.core.convert_gif(voname, \n",
    "                        resolution=[1620, 800], \n",
    "                        remove_movie=False,\n",
    "                       gpath=oname,\n",
    "                       gif_palette=False)\n",
    "\n",
    "HTML('<img src=\"./hrrr_rain%d.gif\">' %__counter__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dac1fb6f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c78e9a2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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