{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f168804a-2c0d-4dd7-8b1c-5d909c889452",
   "metadata": {},
   "source": [
    "**Brian Blaylock**  \n",
    "*July 20, 2021*\n",
    "\n",
    "# RAP Data\n",
    "\n",
    "There are different products available on the cloud."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b4cba677-7674-47d6-8dde-2d297b138c57",
   "metadata": {},
   "outputs": [],
   "source": [
    "from herbie.archive import Herbie\n",
    "from toolbox.cartopy_tools import common_features, pc\n",
    "from paint.standard2 import cm_tmp\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6384df86-fc73-4496-a138-5f227535b6d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2021-Nov-19 00:00 UTC F00\u001b[m [RAP] [product=awp130pgrb] GRIB2 file from \u001b[31maws\u001b[m and index file from \u001b[31maws\u001b[m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2021-11-19\", model=\"rap\", product=\"awp130pgrb\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8757a741-afbd-4cb7-89ab-59b647cbc4b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "👨🏻‍🏭 Created directory: [/p/cwfs/blaylock/data/rap/20211119]\n",
      "📇 Download subset: [RAP] model [awp130pgrb] product run at \u001b[32m2021-Nov-19 00:00 UTC F00\u001b[m                                                            \n",
      " cURL from https://noaa-rap-pds.s3.amazonaws.com/rap.20211119/rap.t00z.awp130pgrbf00.grib2\n",
      "   1: GRIB_message=203 \u001b[34mTMP:2 m above ground:anl\u001b[m\n"
     ]
    }
   ],
   "source": [
    "x = H.xarray(\"TMP:2 m above\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "119c9742-4514-4abf-bba5-b74354352537",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/metpy/xarray.py:349: UserWarning: More than one time coordinate present for variable \"gribfile_projection\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n",
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:1702: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
      "  X, Y, C, shading = self._pcolorargs('pcolormesh', *args,\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.0, 1.0, 'RAP: CONUS Pressure levels; 13-km resolution')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = common_features(crs=x.herbie.crs, figsize=[8, 8]).ax\n",
    "p = ax.pcolormesh(\n",
    "    x.longitude, x.latitude, x.t2m, transform=pc, **cm_tmp(units=\"K\").cmap_kwargs\n",
    ")\n",
    "plt.colorbar(\n",
    "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_tmp(units=\"K\").cbar_kwargs\n",
    ")\n",
    "\n",
    "ax.set_title(x.t2m.GRIB_name, loc=\"right\")\n",
    "ax.set_title(f\"{x.model.upper()}: {H.product_description}\", loc=\"left\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f93e016-4ec8-4410-923d-c071d7faebad",
   "metadata": {},
   "source": [
    "# RAP record on NCEI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1bb48901",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2019-Nov-23 00:00 UTC F00\u001b[m [RAP_HISTORICAL] [product=analysis] GRIB2 file from \u001b[31mrap_130\u001b[m and index file from \u001b[31mrap_130\u001b[m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2019-11-23\", model=\"rap_historical\", product=\"analysis\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "62ef9cb1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "👨🏻‍🏭 Created directory: [/p/cwfs/blaylock/data/rap_historical/20191123]\n",
      "📇 Download subset: [RAP_HISTORICAL] model [analysis] product run at \u001b[32m2019-Nov-23 00:00 UTC F00\u001b[m                                                            \n",
      " cURL from https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201911/20191123/rap_130_20191123_0000_000.grb2\n",
      "   1: GRIB_message=203 \u001b[34mTMP:2 m above ground:anl\u001b[m\n"
     ]
    }
   ],
   "source": [
    "x = H.xarray(\"TMP:2 m above\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/metpy/xarray.py:349: UserWarning: More than one time coordinate present for variable \"gribfile_projection\".\n",
      "  warnings.warn('More than one ' + axis + ' coordinate present for variable'\n",
      "/p/home/blaylock/anaconda3/envs/herbie/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py:1702: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
      "  X, Y, C, shading = self._pcolorargs('pcolormesh', *args,\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.0, 1.0, 'RAP_HISTORICAL: January 2005 through May 2020')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = common_features(crs=x.herbie.crs, figsize=[8, 8]).ax\n",
    "p = ax.pcolormesh(\n",
    "    x.longitude, x.latitude, x.t2m, transform=pc, **cm_tmp(units=\"K\").cmap_kwargs\n",
    ")\n",
    "plt.colorbar(\n",
    "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_tmp(units=\"K\").cbar_kwargs\n",
    ")\n",
    "\n",
    "ax.set_title(x.t2m.GRIB_name, loc=\"right\")\n",
    "ax.set_title(f\"{x.model.upper()}: {H.product_description}\", loc=\"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "10230b81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H._check_grib(H.grib)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e3b3b103",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201911/20191123/rap_130_20191123_0000_000.grb2'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.grib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b9d7503e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "⚠ Herbie didn't find any inventory files that exists from ['.inv', '.grb2.inv', 'grb.inv']\n",
      "⚠ Herbie didn't find any inventory files that exists from ['.inv', '.grb2.inv', 'grb.inv']\n",
      "⚠ Herbie didn't find any inventory files that exists from ['.inv', '.grb2.inv', 'grb.inv']\n",
      "⚠ Herbie didn't find any inventory files that exists from ['.inv', '.grb2.inv', 'grb.inv']\n",
      "⚠ Herbie didn't find any inventory files that exists from ['.inv', '.grb2.inv', 'grb.inv']\n",
      "💔 Did not find a GRIB2 or Index File for \u001b[32m2019-Nov-19 00:00 UTC F00\u001b[m RAP_HISTORICAL                                                                                                     \n"
     ]
    },
    {
     "ename": "AssertionError",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m/p/work1/tmp/blaylock/ipykernel_68742/2558624910.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mH\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mHerbie\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2019-11-19'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'rap_historical'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mproduct\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'analysis'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32massert\u001b[0m \u001b[0mH\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrib\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAssertionError\u001b[0m: "
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2019-11-19\", model=\"rap_historical\", product=\"analysis\")\n",
    "assert H.grib is not None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0b5ce378",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "⚠ Herbie didn't find any inventory files that exists from ['.inv', '.grb2.inv', 'grb.inv']\n",
      "⚠ Herbie didn't find any inventory files that exists from ['.inv', '.grb2.inv', 'grb.inv']\n",
      "🏋🏻‍♂️ Found \u001b[32m2005-Jan-01 00:00 UTC F00\u001b[m [RAP_HISTORICAL] [product=analysis] GRIB2 file from \u001b[31mruc_252\u001b[m and index file from \u001b[31mruc_252\u001b[m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "H = Herbie(\"2005-01-01\", model=\"rap_historical\", product=\"analysis\")\n",
    "assert H.grib is not None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "683dd802",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2020-Mar-15 00:00 UTC F00\u001b[m [RAP_NCEI] [product=rap-130-13km] GRIB2 file from \u001b[31mncei_13km_analysis\u001b[m and index file from \u001b[31mncei_13km_analysis\u001b[m.                                                                                                                                                       \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'ncei_13km_analysis': 'https://www.ncei.noaa.gov/data/rapid-refresh/access/rap-130-13km/analysis/202003/20200315/rap_130_20200315_0000_000.grb2',\n",
       " 'ncei_13km_forecast': 'https://www.ncei.noaa.gov/data/rapid-refresh/access/rap-130-13km/forecast/202003/20200315/rap_130_20200315_0000_000.grb2',\n",
       " 'ncei_20km_analysis': 'https://www.ncei.noaa.gov/data/rapid-refresh/access/rap-130-13km/analysis/202003/20200315/rap_252_20200315_0000_000.grb2',\n",
       " 'ncei_20km_forecast': 'https://www.ncei.noaa.gov/data/rapid-refresh/access/rap-130-13km/forecast/202003/20200315/rap_252_20200315_0000_000.grb2'}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H = Herbie(\"2020-03-15\", model=\"rap_ncei\", product=\"rap-130-13km\")\n",
    "H.SOURCES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bfd4a28f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/BB_python/Herbie/herbie/archive.py:217: UserWarning: `product` not specified. Will use [\"awp130pgrb\"].\n",
      "  warnings.warn(f'`product` not specified. Will use [\"{self.product}\"].')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2021-Dec-01 00:00 UTC F00\u001b[m [RAP] [product=awp130pgrb] GRIB2 file from \u001b[31maws\u001b[m and index file from \u001b[31maws\u001b[m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "H = Herbie(pd.to_datetime(\"today\").floor(\"1D\"), model=\"rap\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "25631a54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2021-12-01 00:00:00')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime(\"today\").floor(\"1D\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "cb040f0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "\n",
    "now = datetime.now()\n",
    "today = datetime(now.year, now.month, now.day)\n",
    "today_str = today.strftime(\"%Y-%m-%d %H:%M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "edf8f6ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/p/home/blaylock/BB_python/Herbie/herbie/archive.py:217: UserWarning: `product` not specified. Will use [\"awp130pgrb\"].\n",
      "  warnings.warn(f'`product` not specified. Will use [\"{self.product}\"].')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏋🏻‍♂️ Found \u001b[32m2021-Dec-01 00:00 UTC F00\u001b[m [RAP] [product=awp130pgrb] GRIB2 file from \u001b[31maws\u001b[m and index file from \u001b[31maws\u001b[m.                                                                                                                                                       \n"
     ]
    }
   ],
   "source": [
    "H = Herbie(today_str, model=\"rap\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "730d2e15",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "👨🏻‍🏭 Created directory: [/p/cwfs/blaylock/data/rap/20211201]\n",
      "✅ Success! Downloaded RAP from \u001b[38;5;202maws                 \u001b[m\n",
      "\tsrc: https://noaa-rap-pds.s3.amazonaws.com/rap.20211201/rap.t00z.awp130pgrbf00.grib2\n",
      "\tdst: /p/cwfs/blaylock/data/rap/20211201/rap.t00z.awp130pgrbf00.grib2\n"
     ]
    }
   ],
   "source": [
    "H.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "95b341fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📇 Download subset: [RAP] model [awp130pgrb] product run at \u001b[32m2021-Dec-01 00:00 UTC F00\u001b[m                                                            \n",
      " cURL from https://noaa-rap-pds.s3.amazonaws.com/rap.20211201/rap.t00z.awp130pgrbf00.grib2\n",
      "   1: GRIB_message=203 \u001b[34mTMP:2 m above ground:anl\u001b[m\n"
     ]
    },
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:              (y: 337, x: 451)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2021-12-01\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "    latitude             (y, x) float64 16.28 16.31 16.34 ... 55.54 55.51 55.48\n",
       "    longitude            (y, x) float64 233.9 234.0 234.1 ... 302.3 302.4 302.6\n",
       "    valid_time           datetime64[ns] 2021-12-01\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 298.0 298.0 297.9 ... 273.7 273.6 273.6\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:                   rap\n",
       "    product:                 awp130pgrb\n",
       "    description:             Rapid Refresh (RAP) from NOMADS and Big Data Pro...\n",
       "    remote_grib:             https://noaa-rap-pds.s3.amazonaws.com/rap.202112...\n",
       "    local_grib:              /p/cwfs/blaylock/data/rap/20211201/rap.t00z.awp1...</pre><div class='xr-wrap' hidden><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-285276b3-7a1e-4b32-a8d2-79640f526455' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-285276b3-7a1e-4b32-a8d2-79640f526455' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 337</li><li><span>x</span>: 451</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-15145dc4-9938-4490-9e79-b09f809ed2c7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-15145dc4-9938-4490-9e79-b09f809ed2c7' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-12-01</div><input id='attrs-e536d3dd-ed02-4990-8000-250aa23ad08b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e536d3dd-ed02-4990-8000-250aa23ad08b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e77f23f4-a1f4-4802-9575-6c3688eb2ee1' class='xr-var-data-in' type='checkbox'><label for='data-e77f23f4-a1f4-4802-9575-6c3688eb2ee1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-12-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00</div><input id='attrs-e50fb91a-517a-4c9f-9334-edd8fc97a63c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e50fb91a-517a-4c9f-9334-edd8fc97a63c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70e8483a-79f7-4fc2-bfe6-d1fea023ae12' class='xr-var-data-in' type='checkbox'><label for='data-70e8483a-79f7-4fc2-bfe6-d1fea023ae12' 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-bb262c5f-e013-487f-857d-9bb396f89007' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb262c5f-e013-487f-857d-9bb396f89007' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5dc4d3a-4038-4c3f-93d0-43607c30da87' class='xr-var-data-in' type='checkbox'><label for='data-c5dc4d3a-4038-4c3f-93d0-43607c30da87' 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'>16.28 16.31 16.34 ... 55.51 55.48</div><input id='attrs-20bff9ad-83bb-4e61-9019-424f51e09187' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20bff9ad-83bb-4e61-9019-424f51e09187' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63695d15-1bbb-4643-8017-bcdabffb3bf7' class='xr-var-data-in' type='checkbox'><label for='data-63695d15-1bbb-4643-8017-bcdabffb3bf7' 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([[16.281     , 16.30836614, 16.33562845, ..., 17.38598091,\n",
       "        17.363161  , 17.34023363],\n",
       "       [16.39828505, 16.42568412, 16.45297923, ..., 17.50458529,\n",
       "        17.48173835, 17.45878381],\n",
       "       [16.51559943, 16.54303139, 16.57035924, ..., 17.62321703,\n",
       "        17.60034309, 17.57736144],\n",
       "       ...,\n",
       "       [53.97394127, 54.00790887, 54.04173934, ..., 55.33884573,\n",
       "        55.31079595, 55.2826082 ],\n",
       "       [54.07324369, 54.10721488, 54.14104889, ..., 55.43826705,\n",
       "        55.41021535, 55.38202566],\n",
       "       [54.17241813, 54.20639281, 54.24023027, ..., 55.53755643,\n",
       "        55.5095029 , 55.48131134]])</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'>233.9 234.0 234.1 ... 302.4 302.6</div><input id='attrs-7a49563c-71a8-48af-9bfb-e53bc381d50f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a49563c-71a8-48af-9bfb-e53bc381d50f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc0e36e3-ad37-4cd3-bc23-d1493440daaa' class='xr-var-data-in' type='checkbox'><label for='data-cc0e36e3-ad37-4cd3-bc23-d1493440daaa' 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([[233.862     , 233.98419514, 234.1064416 , ..., 290.71357615,\n",
       "        290.83782217, 290.96202426],\n",
       "       [233.83341078, 233.95571014, 234.07806096, ..., 290.73745411,\n",
       "        290.86180986, 290.98612158],\n",
       "       [233.80476994, 233.9271737 , 234.04962904, ..., 290.76137592,\n",
       "        290.8858416 , 291.01026312],\n",
       "       ...,\n",
       "       [220.2599064 , 220.42892476, 220.59808701, ..., 302.16983749,\n",
       "        302.34470507, 302.51944524],\n",
       "       [220.20196465, 220.37116928, 220.54051831, ..., 302.21910048,\n",
       "        302.3941759 , 302.56912343],\n",
       "       [220.14387816, 220.31326939, 220.48280555, ..., 302.26849092,\n",
       "        302.44377462, 302.61892995]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-12-01</div><input id='attrs-078bf4c4-a003-4716-8002-8d634b9d5288' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-078bf4c4-a003-4716-8002-8d634b9d5288' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd76a6c4-e289-406e-aa84-bc64173bca9f' class='xr-var-data-in' type='checkbox'><label for='data-cd76a6c4-e289-406e-aa84-bc64173bca9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-12-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a879895-46a6-4cd0-bcd7-879431f22bd4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a879895-46a6-4cd0-bcd7-879431f22bd4' 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>t2m</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>298.0 298.0 297.9 ... 273.6 273.6</div><input id='attrs-7ac8d584-ad9a-44a2-8471-56cb72b757b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ac8d584-ad9a-44a2-8471-56cb72b757b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2bfd0f5-ccf2-4f1d-a8da-afc952251cbf' class='xr-var-data-in' type='checkbox'><label for='data-e2bfd0f5-ccf2-4f1d-a8da-afc952251cbf' 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>151987</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>13545.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>13545.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>25.0</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>25.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>25.0</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>265.0</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>451</dd><dt><span>GRIB_Ny :</span></dt><dd>337</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>16.281</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>233.862</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature </dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepRange :</span></dt><dd>0</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([[298.00787, 298.00787, 297.94537, ..., 301.82037, 301.82037,\n",
       "        301.82037],\n",
       "       [297.82037, 297.88287, 297.82037, ..., 301.75787, 301.82037,\n",
       "        301.82037],\n",
       "       [297.75787, 297.75787, 297.75787, ..., 301.63287, 301.69537,\n",
       "        301.69537],\n",
       "       ...,\n",
       "       [279.88287, 279.94537, 280.00787, ..., 273.88287, 273.88287,\n",
       "        273.82037],\n",
       "       [279.82037, 279.88287, 279.94537, ..., 273.82037, 273.75787,\n",
       "        273.75787],\n",
       "       [279.82037, 279.88287, 279.94537, ..., 273.69537, 273.63287,\n",
       "        273.63287]], 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-365f0dbb-5309-4f9e-8802-6db46febc156' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-365f0dbb-5309-4f9e-8802-6db46febc156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12ca2923-40fd-4ad0-a041-4e00bf566bba' class='xr-var-data-in' type='checkbox'><label for='data-12ca2923-40fd-4ad0-a041-4e00bf566bba' 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;,25,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8821]],PARAMETER[&quot;Longitude of false origin&quot;,265,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8822]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,25,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Latitude of 2nd standard parallel&quot;,25,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>(25.0, 25.0)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>25.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>265.0</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>RAP 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-01a361d7-ceec-4f7b-9c02-582c22b4d91a' class='xr-section-summary-in' type='checkbox'  ><label for='section-01a361d7-ceec-4f7b-9c02-582c22b4d91a' class='xr-section-summary' >Attributes: <span>(11)</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>rap</dd><dt><span>product :</span></dt><dd>awp130pgrb</dd><dt><span>description :</span></dt><dd>Rapid Refresh (RAP) from NOMADS and Big Data Program</dd><dt><span>remote_grib :</span></dt><dd>https://noaa-rap-pds.s3.amazonaws.com/rap.20211201/rap.t00z.awp130pgrbf00.grib2</dd><dt><span>local_grib :</span></dt><dd>/p/cwfs/blaylock/data/rap/20211201/rap.t00z.awp130pgrbf00.grib2.subset_a165fbd61c277745f187eaac7182d9c05d0d1171</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:              (y: 337, x: 451)\n",
       "Coordinates:\n",
       "    time                 datetime64[ns] 2021-12-01\n",
       "    step                 timedelta64[ns] 00:00:00\n",
       "    heightAboveGround    float64 2.0\n",
       "    latitude             (y, x) float64 16.28 16.31 16.34 ... 55.54 55.51 55.48\n",
       "    longitude            (y, x) float64 233.9 234.0 234.1 ... 302.3 302.4 302.6\n",
       "    valid_time           datetime64[ns] 2021-12-01\n",
       "Dimensions without coordinates: y, x\n",
       "Data variables:\n",
       "    t2m                  (y, x) float32 298.0 298.0 297.9 ... 273.7 273.6 273.6\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:                   rap\n",
       "    product:                 awp130pgrb\n",
       "    description:             Rapid Refresh (RAP) from NOMADS and Big Data Pro...\n",
       "    remote_grib:             https://noaa-rap-pds.s3.amazonaws.com/rap.202112...\n",
       "    local_grib:              /p/cwfs/blaylock/data/rap/20211201/rap.t00z.awp1..."
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H.xarray(\"TMP:2 m\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5932f94",
   "metadata": {},
   "source": [
    "# List files that are found in Historical NCEI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c7ccf54b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17,\n",
       " DatetimeIndex(['2005-01-01', '2006-01-01', '2007-01-01', '2008-01-01',\n",
       "                '2009-01-01', '2010-01-01', '2011-01-01', '2012-01-01',\n",
       "                '2013-01-01', '2014-01-01', '2015-01-01', '2016-01-01',\n",
       "                '2017-01-01', '2018-01-01', '2019-01-01', '2020-01-01',\n",
       "                '2021-01-01'],\n",
       "               dtype='datetime64[ns]', freq='AS-JAN'))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATES = pd.date_range(\"2005-01-01\", \"today\", freq=\"AS\")\n",
    "len(DATES), DATES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "65f238fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2005-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/200501/20050101/ruc2_252_20050101_0000_000.grb\n",
      "2006-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/200601/20060101/ruc2_252_20060101_0000_000.grb\n",
      "2007-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/200701/20070101/ruc2anl_252_20070101_0000_000.grb\n",
      "2008-01-01 00:00 ->FOUND-> None\n",
      "2009-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/200901/20090101/ruc2anl_252_20090101_0000_000.grb\n",
      "2010-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201001/20100101/ruc2anl_252_20100101_0000_000.grb\n",
      "2011-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201101/20110101/ruc2anl_252_20110101_0000_000.grb\n",
      "2012-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201201/20120101/ruc2anl_252_20120101_0000_000.grb\n",
      "2013-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201301/20130101/rap_130_20130101_0000_000.grb2\n",
      "2014-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201401/20140101/rap_130_20140101_0000_000.grb2\n",
      "2015-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201501/20150101/rap_130_20150101_0000_000.grb2\n",
      "2016-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201601/20160101/rap_130_20160101_0000_000.grb2\n",
      "2017-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201701/20170101/rap_130_20170101_0000_000.grb2\n",
      "2018-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201801/20180101/rap_130_20180101_0000_000.grb2\n",
      "2019-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/201901/20190101/rap_252_20190101_0000_000.grb2\n",
      "2020-01-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/analysis/202001/20200101/rap_130_20200101_0000_000.grb2\n",
      "2021-01-01 00:00 ->FOUND-> None\n"
     ]
    }
   ],
   "source": [
    "for D in DATES:\n",
    "    H = Herbie(D, model=\"rap_historical\", verbose=False, product=\"analysis\")\n",
    "    print(f\"{D:%Y-%m-%d %H:%M} ->FOUND-> {H.grib}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c4be5b0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "19 DatetimeIndex(['2003-02-01', '2004-02-01', '2005-02-01', '2006-02-01',\n",
      "               '2007-02-01', '2008-02-01', '2009-02-01', '2010-02-01',\n",
      "               '2011-02-01', '2012-02-01', '2013-02-01', '2014-02-01',\n",
      "               '2015-02-01', '2016-02-01', '2017-02-01', '2018-02-01',\n",
      "               '2019-02-01', '2020-02-01', '2021-02-01'],\n",
      "              dtype='datetime64[ns]', freq='AS-FEB')\n"
     ]
    }
   ],
   "source": [
    "DATES = pd.date_range(\"2003-01-01\", \"today\", freq=\"AS-FEB\")\n",
    "print(len(DATES), DATES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2ee02919",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2003-02-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/forecast/200302/20030201/ruc2_236_20030201_0000_000.grb\n",
      "2004-02-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/forecast/200402/20040201/ruc2_236_20040201_0000_000.grb\n",
      "2005-02-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/forecast/200502/20050201/ruc2_236_20050201_0000_000.grb\n",
      "2006-02-01 00:00 ->FOUND-> None\n",
      "2007-02-01 00:00 ->FOUND-> None\n",
      "2008-02-01 00:00 ->FOUND-> None\n",
      "2009-02-01 00:00 ->FOUND-> None\n",
      "2010-02-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/forecast/201002/20100201/ruc2_252_20100201_0000_000.grb\n",
      "2011-02-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/forecast/201102/20110201/ruc2_252_20110201_0000_000.grb\n",
      "2012-02-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/forecast/201202/20120201/ruc2_252_20120201_0000_000.grb\n",
      "2013-02-01 00:00 ->FOUND-> None\n",
      "2014-02-01 00:00 ->FOUND-> None\n",
      "2015-02-01 00:00 ->FOUND-> None\n",
      "2016-02-01 00:00 ->FOUND-> None\n",
      "2017-02-01 00:00 ->FOUND-> None\n",
      "2018-02-01 00:00 ->FOUND-> None\n",
      "2019-02-01 00:00 ->FOUND-> None\n",
      "2020-02-01 00:00 ->FOUND-> https://www.ncei.noaa.gov/data/rapid-refresh/access/historical/forecast/202002/20200201/rap_252_20200201_0000_000.grb2\n",
      "2021-02-01 00:00 ->FOUND-> None\n"
     ]
    }
   ],
   "source": [
    "for D in DATES:\n",
    "    H = Herbie(D, model=\"rap_historical\", verbose=False, product=\"forecast\")\n",
    "    print(f\"{D:%Y-%m-%d %H:%M} ->FOUND-> {H.grib}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b49733c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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