Plot_RRFS_Reflectivity_ForecastNew.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0wecjt2rsGsg"
      },
      "source": [
        "# RRFS Data\n",
        "\n",
        "The Rapid Refresh Forecast System (RRFS) is undergoing rapid development. There are prototype products available on the cloud on AWS. Some files have an index file, others do not."
      ],
      "id": "0wecjt2rsGsg"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ncFko210FuRm"
      },
      "source": [
        "## **1 - Start here!**\n",
        "\n",
        "This cell will install conda, which will allow us to install newer versions of some packages we need than pip alone on Google Colab. Run it by mousing over it and clicking the play button that appears on the left side. It will restart the notebook when it finishes, which will make a popup in the lower left corner saying the notebook crashed. It did not, we restarted it! You can close that and move on when it happens."
      ],
      "id": "ncFko210FuRm"
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install ecmwflibs\n",
        "!pip install eccodes\n",
        "!pip install pygrib\n",
        "!pip install cartopy contextily pyproj pyepsg netCDF4 xarray pygrib\n",
        "\n",
        "import os\n",
        "import pandas as pd\n",
        "import pygrib\n",
        "import numpy as np\n",
        "import numpy.ma as ma\n",
        "import os\n",
        "from urllib.request import urlretrieve\n",
        "\n",
        "import matplotlib\n",
        "from matplotlib.colors import LinearSegmentedColormap\n",
        "import matplotlib.patches as mpatches\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.axes as maxes\n",
        "import matplotlib.patheffects as PathEffects\n",
        "from matplotlib.path import Path\n",
        "from matplotlib.textpath import TextToPath\n",
        "from matplotlib.font_manager import FontProperties\n",
        "from matplotlib.colors import BoundaryNorm\n",
        "from matplotlib.ticker import MaxNLocator\n",
        "from matplotlib.transforms import Bbox\n",
        "#from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
        "%matplotlib inline\n",
        "\n",
        "\n",
        "from pyproj.crs import CRS\n",
        "\n",
        "from datetime import datetime, timedelta\n",
        "\n",
        "from cartopy import cartopy, crs as ccrs, feature as cfeature\n",
        "from cartopy.io.shapereader import Reader\n",
        "from cartopy.feature import ShapelyFeature\n",
        "import contextily as cx\n",
        "from scipy.ndimage.filters import gaussian_filter\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ofg9QxdJOOh_",
        "outputId": "f505d683-bff6-4bbc-ddfe-341e18e03c4c"
      },
      "id": "Ofg9QxdJOOh_",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-2-8184aa81ee98>:38: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n",
            "  from scipy.ndimage.filters import gaussian_filter\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fjW_wFnPGGrv"
      },
      "source": [
        "## **2 - Install and import**\n",
        "\n",
        "This cell will usually take a minute or two to run. It will install and import all the python packages we need."
      ],
      "id": "fjW_wFnPGGrv"
    },
    {
      "cell_type": "code",
      "source": [
        "# This installs and imports all the python packages/modules we need and will use later\n",
        "!mamba install -q -c conda-forge cartopy contextily pyepsg pyproj pygrib netCDF4\n",
        "import numpy as np\n",
        "import os\n",
        "from urllib.request import urlretrieve\n",
        "\n",
        "import matplotlib\n",
        "from matplotlib.colors import LinearSegmentedColormap\n",
        "import matplotlib.patches as mpatches\n",
        "from matplotlib.lines import Line2D\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.axes as maxes\n",
        "import matplotlib.patheffects as PathEffects\n",
        "from matplotlib.path import Path\n",
        "from matplotlib.textpath import TextToPath\n",
        "from matplotlib.font_manager import FontProperties\n",
        "matplotlib.rcParams['font.sans-serif'] = 'Liberation Sans'\n",
        "matplotlib.rcParams['font.family'] = \"sans-serif\"\n",
        "from cartopy import cartopy, crs as ccrs, feature as cfeature\n",
        "\n",
        "import xarray as xr\n",
        "import pygrib\n",
        "import netCDF4 as nc\n",
        "import pandas as pd\n",
        "import json\n",
        "import requests\n",
        "from pyproj.crs import CRS\n",
        "\n",
        "from datetime import datetime, timedelta\n",
        "import contextily as cx\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5Ui2YBdPj04u",
        "outputId": "d51a6ad8-79ee-4a0c-bd43-335a81dad684"
      },
      "id": "5Ui2YBdPj04u",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Preparing transaction: ...working... done\n",
            "Verifying transaction: ...working... done\n",
            "Executing transaction: ...working... done\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.9/site-packages/pyproj/__init__.py:89: UserWarning: pyproj unable to set database path.\n",
            "  _pyproj_global_context_initialize()\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sp5UcB7XGPvG"
      },
      "source": [
        "## **3 - Set options and go!**\n",
        "\n",
        "Set all your options in the form below and go!\n",
        "\n",
        "This is currently hard-coded to the 06UTC model run, with forecast hour=18, resulting in a map valid at 00UTC"
      ],
      "id": "sp5UcB7XGPvG"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qQyBebPpqYFp",
        "outputId": "5dbd1faa-5aff-4da6-84a1-d8620cff24b7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "20240509\n",
            "06\n",
            "16\n"
          ]
        }
      ],
      "source": [
        "#################### FORM STUFF HERE ###################################################################################\n",
        "#@title Plot Config { vertical-output: true, form-width: \"50%\", display-mode: \"form\" }\n",
        "#@markdown Which Initialization Date?\n",
        "init_date = \"2024-05-09\" #@param {type:\"date\"}\n",
        "init_date = datetime.strptime(init_date,'%Y-%m-%d')\n",
        "init_strftime = init_date.strftime('%Y%m%d')\n",
        "print(init_strftime)\n",
        "#init_cyc = \"06\" #@param {type:\"date\"}\n",
        "init_cyc = \"06\"\n",
        "init_cyc = datetime.strptime(init_cyc,'%H')\n",
        "init_strfcyc = init_cyc.strftime('%H')\n",
        "print(init_strfcyc)\n",
        "#init_fhr = \"18\" #@param {type:\"date\"}\n",
        "init_fhr = \"16\"\n",
        "init_fhr = datetime.strptime(init_fhr,'%H')\n",
        "init_strfhr = init_fhr.strftime('%H')\n",
        "print(init_strfhr)\n",
        "\n",
        "\n",
        "\n"
      ],
      "id": "qQyBebPpqYFp"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "991304b3"
      },
      "source": [
        "Sets the AWS GRIB file to download\n"
      ],
      "id": "991304b3"
    },
    {
      "cell_type": "code",
      "source": [
        "# AWS Direct URL\n",
        "#url = f\"https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rrfs_a.20230403/17/rrfs.t17z.natlev.f015.conus_3km.grib2\"\n",
        "#  https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20220201/conus/hrrr.t12z.wrfsfcf36.grib2\n",
        "#print(url)\n",
        "\n",
        "url2 = f\"https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rrfs_a.\" + init_strftime+ \"/\" + init_strfcyc + \"/control/rrfs.t\" + init_strfcyc + \"z.testbed.f0\" + init_strfhr + \".grib2\"\n",
        "print(url2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ez-tn_55mS3w",
        "outputId": "19b4952e-6b66-4405-8ff4-4293fd810942"
      },
      "id": "ez-tn_55mS3w",
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "https://noaa-rrfs-pds.s3.amazonaws.com/rrfs_a/rrfs_a.20240509/06/control/rrfs.t06z.testbed.f016.grib2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fldeZzGrumm5",
        "outputId": "98ebbee7-48d5-415d-8bf1-8e071720aafe"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking for grib file...\n",
            "   > Grib already exists\n",
            "   > Processing grib file\n",
            "     >> Max: 67%\n",
            "     >> Min: -20%\n"
          ]
        }
      ],
      "source": [
        "#################### FORM STUFF HERE ###################################################################################\n",
        "\n",
        "day = \"1\"\n",
        "#orig valid_date = init_date + timedelta(hours = 12, days = int(day))\n",
        "#valid_date = init_date + timedelta(hours = 'str(init_fhr)', days = int(day))\n",
        "valid_date = init_date + timedelta(hours = 18, days = int(day))\n",
        "#orig valid_date_start = valid_date - timedelta(hours = 24)\n",
        "valid_date_start = valid_date - timedelta(hours = 0)\n",
        "valid_strftime = valid_date.strftime('%HZ %m-%d-%Y')\n",
        "\n",
        "hazard = \"Severe\"\n",
        "\n",
        "severe_hazard = \"TOR\"\n",
        "\n",
        "#@markdown What map domain?\n",
        "dom = \"TXOK\" #@param [\"Custom\", \"CONUS\", \"ECONUS\", \"---- WESTERN REGION ----\", \"WR\",\"NR\",\"UT\",\"AZ\",\"SWUS\",\"PNW\", \"---- CENTRAL REGION ----\",\"CR\", \"NP\", \"GL\", \"CUS\", \"CO\", \"---- SOUTHERN REGION ----\", \"SR\", \"TXOK\", \"SE\", \"---- EASTERN REGION ----\", \"ER\", \"NE\"]\n",
        "\n",
        "#@markdown Pick a map theme\n",
        "map_theme = \"ESRI Dark Grey\" #@param [\"Light Shaded Relief\", \"Stamen Toner Light\", \"Positron\", \"Dark Matter\", \"Dark Grey Matter\", \"ESRI Light Grey\", \"ESRI Dark Grey\"]\n",
        "if \"Dark\" in map_theme:\n",
        "  font_color='w'\n",
        "  face_color='#272727'\n",
        "else:\n",
        "  font_color = 'k'\n",
        "  face_color = 'w'\n",
        "#@markdown Set the map scale offset from default (i.e. a 1 would scale up one level [make labels bigger])\n",
        "map_scale_offset = \"1\" #@param [\"-2\",\"-1\", \"0\", \"1\",\"2\"]\n",
        "map_zoom_offset = int(map_scale_offset)\n",
        "\n",
        "pp_verif = False\n",
        "\n",
        "lsr_opt = False\n",
        "heavy_rain_threshold =  1.0\n",
        "\n",
        "s4ariffg = False\n",
        "#@markdown Enter custom lat/lon bounding box if custom was selected\n",
        "custom_bottom_lat =  29.4284 #@param {type:\"number\"}\n",
        "custom_left_lon = -105.811 #@param {type:\"number\"}\n",
        "custom_top_lat =  40.7025#@param {type:\"number\"}\n",
        "custom_right_lon = -88.8568 #@param {type:\"number\"}\n",
        "\n",
        "#@markdown Enter a custom name if you want (mainly used for filename)\n",
        "custom_name = \"RRFS\" #@param {type:\"string\"}\n",
        "\n",
        "day1_elements = [\"NSSL1\", \"NSSL2\", \"NSSL3\", \"NSSL4\", \"NSSL5\", \"HRRR\", \"HRRR2\", \"BLEND\"]\n",
        "\n",
        "if hazard == \"ERO\" and int(day) > 1 and ero_version in day1_elements:\n",
        "  print(\"Selected ERO product is only available on Day 1. Fixing this for you this time, but next time, try to be more careful!\")\n",
        "  day = \"1\"\n",
        "else:\n",
        "  pass\n",
        "\n",
        "if hazard == \"Severe\" and int(day) > 3:\n",
        "  print(\"Hey now, severe outlooks in this notebook are only available out to day 3 (if you know where the days 4+ gribs are, lemme know). Setting it back to day 3 for you.\")\n",
        "  day = \"3\"\n",
        "else:\n",
        "  pass\n",
        "\n",
        "# set up some global variables here\n",
        "#proj = ccrs.epsg(3857)\n",
        "proj = ccrs.Mercator.GOOGLE\n",
        "latloncrs = ccrs.PlateCarree()\n",
        "\n",
        "# Setup a domain dictionary to make things a bit easier\n",
        "# Zoom offset will be the integeter subtracted from the calculated zoom scale for map tiles\n",
        "# Legend is the legend location: 0=best, 1=UR, 2=UL, 3=LL, 4=LR, 5=R, 6=CL, 7=CR, 8=LC, 9=UC, 10=C\n",
        "\n",
        "domain_dict = {\"Custom\":{\"west\":custom_left_lon,\n",
        "                        \"south\":custom_bottom_lat,\n",
        "                        \"east\":custom_right_lon,\n",
        "                        \"north\":custom_top_lat,\n",
        "                        \"zoom_adj\": map_zoom_offset,\n",
        "                        \"legend\":3},\n",
        "\n",
        "               \"CONUS\":{\"west\":-125.650,\n",
        "                    \"south\":23.377,\n",
        "                    \"east\":--66.488,\n",
        "                    \"north\":50.924,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"ECONUS\":{\"west\":-104.36,\n",
        "                    \"south\":24.735,\n",
        "                    \"east\":-66.453,\n",
        "                    \"north\":49.755,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"WR\":{\"west\":-126.917,\n",
        "                    \"south\":30.586,\n",
        "                    \"east\":-102.740,\n",
        "                    \"north\":49.755,\n",
        "                    \"zoom_adj\": 1,\n",
        "                     \"legend\":4},\n",
        "\n",
        "               \"UT\":{\"west\":-117.02,\n",
        "                      \"east\":-106.92,\n",
        "                      \"north\":42.13,\n",
        "                      \"south\":36.80,\n",
        "                      \"zoom_adj\": 1,\n",
        "                     \"legend\":4},\n",
        "\n",
        "               \"NR\":{\"west\":-117.5177,\n",
        "                    \"south\":41.9071,\n",
        "                    \"east\":-103.38071,\n",
        "                    \"north\":49.3085,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"PNW\":{\"west\":-125.4510,\n",
        "                    \"south\":41.8754,\n",
        "                    \"east\":-110.9318,\n",
        "                    \"north\":49.5767,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"SWUS\":{\"west\":-125.582,\n",
        "                    \"south\":31.136,\n",
        "                    \"east\":-108.689,\n",
        "                    \"north\":42.859,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":3},\n",
        "\n",
        "               \"AZ\":{\"west\":-115.596,\n",
        "                    \"south\":31.113,\n",
        "                    \"east\":-107.887,\n",
        "                    \"north\":37.446,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"CR\":{\"west\":-111.534,\n",
        "                    \"south\":35.118,\n",
        "                    \"east\":-82.263,\n",
        "                    \"north\":49.755,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":1},\n",
        "\n",
        "               \"NP\":{\"west\":-105.244,\n",
        "                    \"south\":42.173,\n",
        "                    \"east\":-89.426,\n",
        "                    \"north\":49.474,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"GL\":{\"west\":-97.606,\n",
        "                    \"south\":38.735,\n",
        "                    \"east\":-74.916,\n",
        "                    \"north\":49.292,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":3},\n",
        "\n",
        "               \"CUS\":{\"west\":-111.553,\n",
        "                    \"south\":34.794,\n",
        "                    \"east\":-88.533,\n",
        "                    \"north\":46.357,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":3},\n",
        "\n",
        "               \"CO\":{\"west\":-109.2934,\n",
        "                    \"south\":36.8186,\n",
        "                    \"east\":-101.8524,\n",
        "                    \"north\":47.35,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"SR\":{\"west\":-109.758,\n",
        "                    \"south\":23.313,\n",
        "                    \"east\":-78.247,\n",
        "                    \"north\":37.899,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":3},\n",
        "\n",
        "               \"TXOK\":{\"west\":-106.95,\n",
        "                    \"south\":26.06,\n",
        "                    \"east\":-86.76,\n",
        "                    \"north\":37.76,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"SE\":{\"west\":-92.974,\n",
        "                    \"south\":24.578,\n",
        "                    \"east\":-75.1311,\n",
        "                    \"north\":37.390,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"ER\":{\"west\":-85.629,\n",
        "                    \"south\":31.723,\n",
        "                    \"east\":-66.465,\n",
        "                    \"north\":47.676,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"NE\":{\"west\":-85.629,\n",
        "                    \"south\":37.654,\n",
        "                    \"east\":-66.00,\n",
        "                    \"north\":47.825,\n",
        "                    \"zoom_adj\": 1,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"CONUS\":{\"west\":-125.650,\n",
        "                    \"south\":23.377,\n",
        "                    \"east\":-66.488,\n",
        "                    \"north\":50.924,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "               \"ECONUS\":{\"west\":-104.36,\n",
        "                    \"south\":24.735,\n",
        "                    \"east\":-66.453,\n",
        "                    \"north\":49.755,\n",
        "                    \"zoom_adj\": 0,\n",
        "                    \"legend\":4},\n",
        "\n",
        "}\n",
        "\n",
        "west = domain_dict[dom][\"west\"]\n",
        "south = domain_dict[dom][\"south\"]\n",
        "east = domain_dict[dom][\"east\"]\n",
        "north = domain_dict[dom][\"north\"]\n",
        "map_zoom_offset = domain_dict[dom][\"zoom_adj\"]\n",
        "LLOC = domain_dict[dom][\"legend\"]\n",
        "\n",
        "\n",
        "# Set up the URL\n",
        "#url_base = \"http://schumacher.atmos.colostate.edu/gherman/ffair/\"\n",
        "#if hazard == \"ERO\":\n",
        "#  file = f'EXQPF_DAY{day}_{ero_version_dict[ero_version]}_{init_strftime}.grib2'\n",
        "#elif hazard == \"Severe\":\n",
        "#  if int(day) > 1:\n",
        "#    file = f'SEVERE_DAY{day}_PROBS_V1P1_GEFSO_{init_strftime}.grib2'\n",
        "#  elif day == \"1\":\n",
        "#    file = f'{severe_hazard}_DAY{day}_PROBS_V1P1_GEFSO_{init_strftime}_STD.grib2'\n",
        "#url = url_base+file\n",
        "#init_strftime\n",
        "\n",
        "#file = f'{init_strftime}_rrfs.t17z.natlev.f015.conus_3km.grib2'\n",
        "#rrfs_a.20240509/06/control/rrfs.t06z.testbed.f016.grib2\n",
        "file = f'{init_strftime}_rrfs_a.t' + init_strfcyc + 'z.testbed.f0' + init_strfhr + '.grib2'\n",
        "\n",
        "\n",
        "################## DOWNLOAD HERE #######################################################################################\n",
        "print('Looking for grib file...')\n",
        "if os.path.exists(file):\n",
        "  print(\"   > Grib already exists\")\n",
        "else:\n",
        "  try:\n",
        "    print(\"   > Downloading grib\")\n",
        "    urlretrieve(url2, file)\n",
        "  except:\n",
        "    print(\"     >> Unable to get file\")\n",
        "\n",
        "print('   > Processing grib file')\n",
        "gribdata = pygrib.open(file)\n",
        "#csu_mlp = gribdata.message(1236)\n",
        "csu_mlp = gribdata.message(3)\n",
        "lats, lons = csu_mlp.latlons()\n",
        "gribdata.close()\n",
        "print(f'     >> Max: {int(np.max(csu_mlp.values)*1)}%')\n",
        "print(f'     >> Min: {int(np.min(csu_mlp.values)*1)}%')\n",
        "#print(\"     Got it! Proceed.\")\n"
      ],
      "id": "fldeZzGrumm5"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "a_LmXq9snqBm",
        "outputId": "d1f8f718-7f89-462f-b115-016bf721c854"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Making Severe Plot...\n",
            "   > Initializing map\n",
            "   > Adding fancy map tiles\n",
            "   > Contouring ML SVR\n",
            "   > Adding legend\n",
            "   > Plot saved as TXOK_CSU_SVR_TOR_Day1_20240509.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1200 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "################## PLOT HERE ###########################################################################################\n",
        "\n",
        "def blankmap():\n",
        "    global maplayertext1, maplayertext2, ax\n",
        "    print('   > Initializing map')\n",
        "    plt.figure(figsize=(10,8),frameon=True, facecolor=face_color)\n",
        "    F = plt.gcf()  # Gets the current figure\n",
        "    ax = plt.axes(projection=proj)\n",
        "\n",
        "    zoom = (cx.tile._calculate_zoom(west,\n",
        "                                    south,\n",
        "                                    east,\n",
        "                                    north) - map_zoom_offset)\n",
        "\n",
        "    ax.set_extent([west,\n",
        "                  east,\n",
        "                  south,\n",
        "                  north], crs=latloncrs)\n",
        "\n",
        "\n",
        "    print('   > Adding fancy map tiles')\n",
        "    maplayertext2 = \"\"\n",
        "    maylayertext1 = \"\"\n",
        "    if map_theme == \"Light Shaded Relief\":\n",
        "      ax.add_feature(cfeature.LAND, edgecolor='none', facecolor='#FAFAF8', zorder=-2)\n",
        "      cx.add_basemap(ax, source=\"https://basemap.nationalmap.gov/arcgis/rest/services/USGSShadedReliefOnly/MapServer/tile/{z}/{y}/{x}\",\n",
        "                      attribution=False, alpha =0.8, zorder=-1)\n",
        "      maplayertext1 = \"Map tiles: © USGS Earth Resources Observation & Science (EROS) Center: GMTED2010\" #for USGS Hillshade\n",
        "      ax.add_feature(cfeature.OCEAN, edgecolor='none', facecolor='#b3bbbd', zorder=1) # adds fill over the ocean\n",
        "      ax.add_feature(cfeature.LAKES, edgecolor='none', facecolor='#b3bbbd', zorder=1) # adds fill over lakes\n",
        "      cx.add_basemap(ax, source=\"http://services.arcgisonline.com/arcgis/rest/services/Reference/World_Boundaries_and_Places/MapServer/tile/{z}/{y}/{x}\",\n",
        "                      attribution=False, zoom=zoom, zorder=50)\n",
        "      cx.add_basemap(ax, source='http://services.arcgisonline.com/arcgis/rest/services/Reference/World_Transportation/MapServer/tile/{z}/{y}/{x}',\n",
        "                      zorder=49)\n",
        "      maplayertext2 = \"Esri, HERE, Garmin, OpenStreetMap contributors\"\n",
        "\n",
        "    elif map_theme == \"Stamen Toner Light\":\n",
        "      cx.add_basemap(ax, source=cx.providers.Stamen.TonerLite, zoom=zoom, zorder=-1, attribution=False)\n",
        "      cx.add_basemap(ax, source=cx.providers.Stamen.TonerHybrid, zoom=zoom, zorder=49, attribution=False)\n",
        "      maplayertext1 = str(cx.providers.Stamen.TonerLite.attribution)\n",
        "\n",
        "    elif map_theme == \"Positron\":\n",
        "      cx.add_basemap(ax, source=cx.providers.CartoDB.PositronNoLabels, zorder=-1, attribution=False)\n",
        "      ax.add_feature(cfeature.NaturalEarthFeature('cultural', 'admin_1_states_provinces_lines', '50m', edgecolor='#e5e2e3', facecolor='none', linewidth=0.5, zorder=48, alpha=0.5)) # adds state borders\n",
        "      ax.add_feature(cfeature.COASTLINE, edgecolor=\"#FAFAF8\", facecolor=None, linewidth=0.25, alpha=0.5, zorder=48) # adds coastline (since that isn't included)\n",
        "      ax.add_feature(cfeature.BORDERS, edgecolor=\"#FAFAF8\", facecolor=None, linewidth=0.5, alpha=0.75, zorder=48) # adds country borders (since that isn't included)\n",
        "      cx.add_basemap(ax, source=cx.providers.CartoDB.PositronOnlyLabels, zoom=zoom, zorder=49, attribution=False)\n",
        "      maplayertext1 = \"Map tiles: \" + str(cx.providers.CartoDB.Positron.attribution)\n",
        "\n",
        "    elif map_theme == \"Dark Grey Matter\":\n",
        "      ax.add_feature(cfeature.LAND, edgecolor='none', facecolor='#414143', zorder=-2)\n",
        "      ax.add_feature(cfeature.OCEAN, edgecolor='none', facecolor='#232227', zorder=1) # adds fill over the ocean\n",
        "      ax.add_feature(cfeature.LAKES, edgecolor='none', facecolor='#232227', zorder=1) # adds fill over lakes\n",
        "      #cx.add_basemap(ax, source=cx.providers.CartoDB.DarkMatterNoLabels, zorder=-1, attribution=False)\n",
        "      ax.add_feature(cfeature.NaturalEarthFeature('cultural', 'admin_1_states_provinces_lines', '50m', edgecolor='#1c1c1c', facecolor='none', linewidth=0.5, zorder=48, alpha=0.5)) # adds state borders\n",
        "      ax.add_feature(cfeature.COASTLINE, edgecolor='k', facecolor=None, linewidth=0.25, alpha=0.5, zorder=48) # adds coastline (since that isn't included)\n",
        "      ax.add_feature(cfeature.BORDERS, edgecolor='k', facecolor=None, linewidth=0.5, alpha=0.75, zorder=48) # adds country borders (since that isn't included)\n",
        "      cx.add_basemap(ax, source=cx.providers.CartoDB.DarkMatterOnlyLabels, zoom=zoom, zorder=49, attribution=False)\n",
        "      maplayertext1 = \"Map tiles: \" + str(cx.providers.CartoDB.DarkMatter.attribution)\n",
        "\n",
        "    elif map_theme == \"Dark Matter\":\n",
        "      cx.add_basemap(ax, source=cx.providers.CartoDB.DarkMatterNoLabels, zorder=-1, attribution=False)\n",
        "      ax.add_feature(cfeature.NaturalEarthFeature('cultural', 'admin_1_states_provinces_lines', '50m', edgecolor='#1c1c1c', facecolor='none', linewidth=0.5, zorder=48, alpha=0.5)) # adds state borders\n",
        "      ax.add_feature(cfeature.COASTLINE, edgecolor='k', facecolor=None, linewidth=0.25, alpha=0.5, zorder=48) # adds coastline (since that isn't included)\n",
        "      ax.add_feature(cfeature.BORDERS, edgecolor='k', facecolor=None, linewidth=0.5, alpha=0.75, zorder=48) # adds country borders (since that isn't included)\n",
        "      cx.add_basemap(ax, source=cx.providers.CartoDB.DarkMatterOnlyLabels, zoom=zoom, zorder=49, attribution=False)\n",
        "      maplayertext1 = \"Map tiles: \" + str(cx.providers.CartoDB.DarkMatter.attribution)\n",
        "\n",
        "    elif map_theme == \"ESRI Light Grey\":\n",
        "      cx.add_basemap(ax, source='https://server.arcgisonline.com/ArcGIS/rest/services/Canvas/World_Light_Gray_Base/MapServer/tile/{z}/{y}/{x}', zorder=-1, attribution=False)\n",
        "      ax.add_feature(cfeature.NaturalEarthFeature('cultural', 'admin_1_states_provinces_lines', '50m', edgecolor='#e4e4e4', facecolor='none', linewidth=0.5, zorder=48)) # adds state borders\n",
        "      ax.add_feature(cfeature.COASTLINE, edgecolor='#efefef', facecolor=None, linewidth=0.25, alpha=0.5, zorder=48) # adds coastline (since that isn't included)\n",
        "      ax.add_feature(cfeature.BORDERS, edgecolor='#efefef', facecolor=None, linewidth=0.5, alpha=0.75, zorder=48) # adds country borders (since that isn't included)\n",
        "      cx.add_basemap(ax, source='https://server.arcgisonline.com/ArcGIS/rest/services/Canvas/World_Light_Gray_Reference/MapServer/tile/{z}/{y}/{x}', zoom=zoom, zorder=49, attribution=False)\n",
        "      maplayertext1 = \"Map tiles: Esri, HERE, Garmin, FAO, NOAA, USGS, © OpenStreetMap contributors, and the GIS User Community\"\n",
        "\n",
        "    elif map_theme == \"ESRI Dark Grey\":\n",
        "      cx.add_basemap(ax, source='https://server.arcgisonline.com/ArcGIS/rest/services/Canvas/World_Dark_Gray_Base/MapServer/tile/{z}/{y}/{x}', zorder=-1, attribution=False)\n",
        "      ax.add_feature(cfeature.NaturalEarthFeature('cultural', 'admin_1_states_provinces_lines', '50m', edgecolor='#363638', facecolor='none', linewidth=0.5, zorder=48, alpha=0.5)) # adds state borders\n",
        "      ax.add_feature(cfeature.COASTLINE, edgecolor='#3f3f3f', facecolor=None, linewidth=0.25, alpha=0.5, zorder=48) # adds coastline (since that isn't included)\n",
        "      ax.add_feature(cfeature.BORDERS, edgecolor='#3f3f3f', facecolor=None, linewidth=0.5, alpha=0.75, zorder=48) # adds country borders (since that isn't included)\n",
        "      cx.add_basemap(ax, source='https://server.arcgisonline.com/ArcGIS/rest/services/Canvas/World_Dark_Gray_Reference/MapServer/tile/{z}/{y}/{x}', zoom=zoom, zorder=49, attribution=False)\n",
        "      maplayertext1 = \"Map tiles: Esri, HERE, Garmin, © OpenStreetMap contributors, and the GIS User Community\"\n",
        "\n",
        "def drawmap(DATA,TITLESTRING,PROD,UNITS,LEVS,LABS):\n",
        "    F = plt.gcf()  # Gets the current figure\n",
        "    ax = plt.gca()  # Gets the current axes\n",
        "    print('   > Adding legend')\n",
        "    proxy = [mpatches.Patch(color = pc.get_facecolor()[0]) for pc in DATA.collections]\n",
        "    LLABS = LABS\n",
        "    #LLABS = []\n",
        "    #for i in range(0, len(LEVS)-1):\n",
        "    #  label = str(LEVS[i])+\"-\"+str(LEVS[i+1])+UNITS\n",
        "    #  LLABS.append(label)\n",
        "    if hazard == \"ERO\":\n",
        "      if pp_verif:\n",
        "        LLABS.append(\"Verif 5%\")\n",
        "        proxy.append(Line2D([0], [0], color=\"#b9c9ba\", lw=2))\n",
        "        LLABS.append(\"Verif 15%\")\n",
        "        proxy.append(Line2D([0], [0], color=\"#f1c86a\", lw=2))\n",
        "        LLABS.append(\"Verif 27%\")\n",
        "        proxy.append(Line2D([0], [0], color=\"#ed7645\", lw=2))\n",
        "        LLABS.append(\"Verif 40%\")\n",
        "        proxy.append(Line2D([0], [0], color=\"#ce2754\", lw=2))\n",
        "        LLABS.append(\"Verif 70%\")\n",
        "        proxy.append(Line2D([0], [0], color=\"#9f00a6\", lw=2))\n",
        "      if lsr_opt:\n",
        "        LLABS.append(\"Heavy Rain LSR\")\n",
        "        proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf740\"), color=\"#023945\", edgecolor='none', s=50))\n",
        "        LLABS.append(\"Flood LSR\")\n",
        "        proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf773\"), color=\"tab:red\", edgecolor='none', s=50))\n",
        "\n",
        "      if s4ariffg:\n",
        "        LLABS.append(\"StageIV > 5yr ARI\")\n",
        "        proxy.append(plt.scatter([], [], marker=\"_\", color=\"grey\", edgecolor='none', s=50, linewidths=1))\n",
        "        LLABS.append(\"StageIV > FFG\")\n",
        "        proxy.append(plt.scatter([], [], marker=\"|\", color=\"grey\", edgecolor='none', s=50, linewidths=1))\n",
        "    elif hazard == \"Severe\":\n",
        "      if lsr_opt:\n",
        "        if int(day) > 1:\n",
        "          LLABS.append(\"Wind LSR\")\n",
        "          proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf72e\"), color=\"blue\", edgecolor='none', s=50))\n",
        "          LLABS.append(\"Hail LSR\")\n",
        "          proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf73b\"), color=\"green\", edgecolor='none', s=50))\n",
        "          LLABS.append(\"TOR LSR\")\n",
        "          proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf76f\"), color=\"tab:red\", edgecolor='none', s=50))\n",
        "        elif day == \"1\":\n",
        "          if severe_hazard == \"HAIL\":\n",
        "            LLABS.append(\"Hail LSR\")\n",
        "            proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf73b\"), color=\"green\", edgecolor='none', s=50))\n",
        "          if severe_hazard == \"WIND\":\n",
        "            LLABS.append(\"Wind LSR\")\n",
        "            proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf72e\"), color=\"blue\", edgecolor='none', s=50))\n",
        "          if severe_hazard == \"TOR\":\n",
        "            LLABS.append(\"Tor LSR\")\n",
        "            proxy.append(plt.scatter([], [], marker=get_marker(\"\\uf76f\"), color=\"tab:red\", edgecolor='none', s=50))\n",
        "\n",
        "    proxy = proxy[::-1]\n",
        "    LLABS = LLABS[::-1]\n",
        "\n",
        "    l = plt.legend(handles=proxy, labels=LLABS, fontsize='8',frameon=False,\n",
        "                   bbox_to_anchor=(1.001, 0.5), loc=6)\n",
        "    l.set_zorder(100)\n",
        "    for text in l.get_texts():\n",
        "      text.set_color(font_color)\n",
        "    lframe = l.get_frame()\n",
        "    lframe.set_color(face_color)\n",
        "    #l.set_title(f'CSU MLP Day {str(day)} \\n {element} ERO \\n  Valid {valid_strftime}')\n",
        "    #plt.setp(l.get_title(), multialignment='center', fontsize=8, weight='bold')\n",
        "    l.set_title(f'Map Legend \\n')\n",
        "    plt.setp(l.get_title(), multialignment='center', fontsize=8, weight='bold')\n",
        "\n",
        "    title_text1 = f'CSU MLP · Day {str(day)} {hazard}'\n",
        "    if hazard == \"ERO\":\n",
        "      title_text2 = f'Version: {ero_version}'\n",
        "    elif hazard ==\"Severe\":\n",
        "      if day == \"1\":\n",
        "        title_text2 = f'{severe_hazard}'\n",
        "      elif int(day) > 1:\n",
        "        title_text2 = f'Aggregate Severe'\n",
        "    title_validtext = f'Valid 24-hrs ending {valid_strftime}'\n",
        "\n",
        "    plt.text(0.0, 1.04, title_text1, transform=ax.transAxes, horizontalalignment='left', verticalalignment='bottom',\n",
        "            fontsize=11, color=font_color, weight='bold')\n",
        "    plt.text(0.0, 1.04, title_text2, transform=ax.transAxes, horizontalalignment='left', verticalalignment='top',\n",
        "            fontsize=11, color=font_color, weight='semibold')\n",
        "    plt.text(1.0, 1.04, title_validtext, transform=ax.transAxes, horizontalalignment='right', verticalalignment='top',\n",
        "            fontsize=11, color=font_color, weight='bold')\n",
        "\n",
        "    if maplayertext1 != \"\":\n",
        "      if maplayertext2 !=\"\":\n",
        "          plt.text(0.005, 0.005, 'Map layers: %s // %s' % (maplayertext1,maplayertext2),\n",
        "                transform = ax.transAxes,horizontalalignment='left',fontsize=6,color=font_color, style='italic', zorder=99,\n",
        "                bbox=dict(facecolor=face_color,edgecolor='none', pad=1.8, alpha=0.65))\n",
        "      else:\n",
        "        plt.text(0.005, 0.005, '%s' % (maplayertext1),\n",
        "                  transform = ax.transAxes,horizontalalignment='left',fontsize=6,color=font_color, style='italic', zorder=99,\n",
        "                bbox=dict(facecolor=face_color,edgecolor='none', pad=1.8, alpha=0.65))\n",
        "\n",
        "    if dom == \"Custom\" and custom_name:\n",
        "      custom_name_sanitized = custom_name.replace(\" \",\"\")\n",
        "      file_id = '%s_%s_%s' % (custom_name_sanitized, PROD, init_strftime)\n",
        "    else:\n",
        "      file_id = '%s_%s_%s' % (dom, PROD, init_strftime)\n",
        "    filename = '%s.png' % (file_id)\n",
        "    plt.savefig(filename, bbox_inches='tight', facecolor=face_color) # Saves the figure with small margins\n",
        "    print(f'   > Plot saved as {filename}')\n",
        "    plt.show()\n",
        "\n",
        "def plot_ML_SVR():\n",
        "    print(\"Making Severe Plot...\")\n",
        "    svr = csu_mlp.values\n",
        "    blankmap()\n",
        "    print('   > Contouring ML SVR')\n",
        "\n",
        "    SVR_COLS = [\"#dcdcdc\", \"#b9c9ba\", \"#f1c86a\", \"#ed7645\", \"#ce2754\", \"#a20435\",\"#630157\"]\n",
        "    SVR_LEVS = [0.02, 0.05, 0.10, 0.15, 0.30, 0.45, 0.60, 1.00]\n",
        "    SVR_LEVS = [0.52, 0.55, 0.58, 0.60, 0.61, 0.62, 0.65]\n",
        "    SVR_LEVS = [20, 32, 42, 47, 52, 57, 62, 65]\n",
        "    SVR_Text = [\"2-5%\", \"5-10%\", \"10-15%\", \"15-30%\", \"30-45%\", \"45-60%\", \"60-100%\"]\n",
        "    SVR_Text = [\"52-55%\", \"55-58%\", \"58-60%\", \"60-61%\", \"61-62%\", \"62-65%\"]\n",
        "    SVR_Text = [\"20-32\", \"32-42\", \"42-47\", \"47-52\", \"52-57\", \"57-62\", \"62-65\"]\n",
        "    SWO = plt.contourf(lons,lats,svr,SVR_LEVS,colors=SVR_COLS,extend='neither',alpha=0.65, transform=latloncrs,antialiased = True)\n",
        "\n",
        "    if lsr_opt:\n",
        "      day_delta = int(day) - 1\n",
        "      lsr_start = init_date + timedelta (days = day_delta, hours = 12)\n",
        "      lsr_start = lsr_start.strftime('%Y-%m-%dT%H:%M')\n",
        "      lsr_end = valid_date.strftime('%Y-%m-%dT%H:%M')\n",
        "      lsr_url = \"https://mesonet.agron.iastate.edu/cgi-bin/request/gis/lsr.py?wfo[]=ALL&sts=\"+lsr_start+\"Z&ets=\"+lsr_end+\"Z&fmt=csv\"\n",
        "      csv_name = \"lsr_\"+lsr_start+\"_\"+lsr_end+\".csv\"\n",
        "\n",
        "      try:\n",
        "        file_exists = os.path.exists(csv_name)\n",
        "        if file_exists:\n",
        "          print(\"   > LSRs file already exists\")\n",
        "        else:\n",
        "          print(\"   > Grabbing LSRs\")\n",
        "          urlretrieve(lsr_url, csv_name)\n",
        "\n",
        "        LSRs = pd.read_csv(csv_name, usecols= ['LAT','LON','MAG','TYPECODE','TYPETEXT'], on_bad_lines='skip')\n",
        "        LSRs['MAG'] = LSRs.MAG.replace('None','0').astype(float)\n",
        "        LSRs['LAT'] = LSRs.LAT.astype(float)\n",
        "        LSRs['LON'] = LSRs.LON.astype(float)\n",
        "        LSRs_hail = LSRs[(LSRs.TYPECODE == 'H') & (LSRs.MAG >= 1)]\n",
        "        hail_lats= LSRs_hail['LAT'].to_numpy()\n",
        "        hail_lons= LSRs_hail['LON'].to_numpy()\n",
        "        LSRs_wind = LSRs[((LSRs.TYPECODE == 'G') & (LSRs.MAG >= 58)) | (LSRs.TYPECODE == 'D')]\n",
        "        wind_lats= LSRs_wind['LAT'].to_numpy()\n",
        "        wind_lons= LSRs_wind['LON'].to_numpy()\n",
        "        LSRs_tor = LSRs[(LSRs.TYPECODE == 'T')]\n",
        "        tor_lats= LSRs_tor['LAT'].to_numpy()\n",
        "        tor_lons= LSRs_tor['LON'].to_numpy()\n",
        "        print(\"     >> Plotting LSRs\")\n",
        "        if int(day) > 1:\n",
        "          plt.scatter(hail_lons, hail_lats, marker=get_marker(\"\\uf73b\"), color=\"green\", edgecolor='none', s=55,transform=latloncrs)\n",
        "          plt.scatter(wind_lons, wind_lats, marker=get_marker(\"\\uf72e\"), color=\"blue\", edgecolor='none', s=55,transform=latloncrs)\n",
        "          plt.scatter(tor_lons, tor_lats, marker=get_marker(\"\\uf76f\"), color=\"tab:red\", edgecolor='none', s=55,transform=latloncrs)\n",
        "        elif severe_hazard == \"WIND\":\n",
        "           plt.scatter(wind_lons, wind_lats, marker=get_marker(\"\\uf72e\"), color=\"blue\", edgecolor='none', s=55,transform=latloncrs)\n",
        "        elif severe_hazard == \"HAIL\":\n",
        "          plt.scatter(hail_lons, hail_lats, marker=get_marker(\"\\uf73b\"), color=\"green\", edgecolor='none', s=55,transform=latloncrs)\n",
        "        elif severe_hazard == \"TOR\":\n",
        "          plt.scatter(tor_lons, tor_lats, marker=get_marker(\"\\uf76f\"), color=\"tab:red\", edgecolor='none', s=55,transform=latloncrs)\n",
        "\n",
        "      except:\n",
        "        print(\"     !> No LSRs for you\")\n",
        "\n",
        "    units = '%'\n",
        "    title = \"\"\n",
        "    if int(day) > 1:\n",
        "      prodid = 'CSU_SVR_Day'+str(day)\n",
        "    else:\n",
        "      prodid = 'CSU_SVR_'+severe_hazard+'_Day'+str(day)\n",
        "\n",
        "    drawmap(SWO, title, prodid, units, SVR_LEVS, SVR_Text)\n",
        "\n",
        "matplotlib.rcParams['figure.dpi'] = 150 # make high quality figure\n",
        "if hazard == \"ERO\":\n",
        "  plot_ML_ERO()\n",
        "elif hazard == \"Severe\":\n",
        "  plot_ML_SVR()\n"
      ],
      "id": "a_LmXq9snqBm"
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "herbie-dev",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.8"
    },
    "vscode": {
      "interpreter": {
        "hash": "ac511961bc6976a3d289cde8fc247e6b0e9298cf513cb762aa0a7df646d192ed"
      }
    },
    "colab": {
      "provenance": []
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "nbformat": 4,
  "nbformat_minor": 5
}