outdated_plotter.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "118358f3-594b-4c0a-8f4c-346d25d7f61e",
   "metadata": {
    "tags": []
   },
   "source": [
    "# MODERN SOUNDING PLOTTER\n",
    "___________________\n",
    "\n",
    "#### BY KYLE J GILLETT (@WXKYLEGILLETT) 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1a322218-2166-4841-b923-bd06e6285e40",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[+] IMPORTS COMPLETE\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "    > This script was written by Kyle Gillett (@wxkylegillett) (2022)\n",
    "    \n",
    "    > The task of this script is to retrieve RAOB data, preform a number of calculations, and plot the data \n",
    "      on a Skew-T & hodograph.\n",
    "    \n",
    "    > The purpose of this script is to provide a modern, clean, clear, and concise sounding plot that makes\n",
    "      for quick and easy assessment of the data for environmental analysis purposes, focused on severe weather.\n",
    "      \n",
    "    > It should be noted that, as with any sounding plot, many of the calculations & plotting operations here\n",
    "      shoulder heavy assumptions, and these assumptions should be well understood to get the most out of any \n",
    "      sounding plot.\n",
    "      \n",
    "    > Numerous python libraries are utilized throughout this script, including MetPy and SharpPy's python packages. \n",
    "      Several packages here may need to be installed to run this code. \n",
    "      \n",
    "    > If you happen to run into any bugs, have questions or ideas, please message me on Twitter (@wxkylegillett) \n",
    "      or open an issue on GitHub.\n",
    "      \n",
    "    > You will be able to plot tornado tracks and storm reports from the SPC. Please note: tornado tracks as of 12/22 are only\n",
    "      available between 1950 and 2021. If you are plotting a date in 2022 or 2023 - turn off plot_TorTracks. SPC Storm Reports \n",
    "      should be availible now through June 1st, 1999. Missing or bad data is possible.\n",
    "      \n",
    "    > You can turn on reports or tracks by setting plot_TorTracks, plot_TorReports, plot_WindReports, & plot_HailReports equal\n",
    "      to True, or off by setting them to False. \n",
    "      \n",
    "    > Each cell requiring user input will be clearly marked with instructions \n",
    "    \n",
    "\"\"\"\n",
    "\n",
    "# IMPORTS ----------------------------------------------------------------------------------------------------\n",
    "# Basic Software\n",
    "import warnings                                                                  \n",
    "warnings.filterwarnings(\"ignore\")    \n",
    "import pandas           as pd\n",
    "import numpy            as np\n",
    "import numpy.ma         as ma\n",
    "import math\n",
    "# Matplotlib software\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.lines  as mlines\n",
    "# time software\n",
    "from dateutil           import tz\n",
    "from timezonefinder     import TimezoneFinder\n",
    "from datetime           import datetime, timedelta\n",
    "# Metpy software \n",
    "import metpy.calc       as mpcalc\n",
    "from metpy.plots        import add_metpy_logo, add_unidata_logo, add_timestamp, SkewT, Hodograph\n",
    "from metpy.units        import units\n",
    "# siphon software\n",
    "from siphon.simplewebservice.wyoming import WyomingUpperAir\n",
    "# sharppy software\n",
    "import sharppy\n",
    "import sharppy.sharptab.profile as profile\n",
    "import sharppy.sharptab.interp as interp\n",
    "import sharppy.sharptab.winds as winds\n",
    "import sharppy.sharptab.utils as utils \n",
    "import sharppy.sharptab.params as params\n",
    "import sharppy.sharptab.thermo as thermo\n",
    "import sharppy.sharptab.constants as const\n",
    "print(\"[+] IMPORTS COMPLETE\")\n",
    "\n",
    "# STATION DICTIONARY - note: this script will plot any sounding location, but not all locations are included in this dict\n",
    "#                      if you plot a station not in this dict, there will be an option to set your own City Name & State\n",
    "stations = {\n",
    "    # 'Station Id': ['Station City Name', 'State/Province Abrv', State/Province Name']\n",
    "    # ----------- UNITED STATES ----------\n",
    "    #-- GREAT LAKES-----------------------\n",
    "    'DTX': [\"Detroit\", \"MI\", \"Michigan\"],\n",
    "    'APX': [\"Gaylord\", \"MI\", \"Michigan\"],\n",
    "    'GRB': [\"Green Bay\", \"WI\", 'Wisconsin'],\n",
    "    'MPX': [\"Twin Cities\", \"MN\", 'Minnesota'],\n",
    "    'INL': [\"International Falls\", \"MN\", 'Minnesota'],\n",
    "    'DVN': [\"Davenport\", \"IA\", \"Iowa\"],\n",
    "    'ILX': [\"Lincoln\", \"IL\", \"Illinois\"],\n",
    "    'ILN': [\"Wilmington\", \"OH\", \"Ohio\"],\n",
    "    #-- NORTHEAST ----------------------\n",
    "    'PIT': [\"Pittsburgh\", \"PA\", \"Pennsylvania\"],\n",
    "    'BUF': [\"Buffalo\", \"NY\", \"New York\"],\n",
    "    'ALB': [\"Albany\", \"NY\", \"New York\"],\n",
    "    'GYX': [\"Gray\", \"ME\", \"Maine\"],\n",
    "    'CAR': [\"Caribou\", \"ME\", \"Maine\"],\n",
    "    #--- THE SOUTH ---------------------\n",
    "    'IAD': [\"Sterling\", \"VA\", \"Virginia\"],\n",
    "    'WAL': [\"Wallops Island\", \"VA\", \"Virginia\"],\n",
    "    'RNK': [\"Blacksburg\", \"VA\", \"Virginia\"],\n",
    "    'GSO': [\"Greensboro\", \"NC\", \"North Carolina\"],\n",
    "    'MHX': [\"Newport\", \"NC\", \"North Carolina\"],\n",
    "    'CHS': [\"Charleston\", \"SC\", \"South Carolina\"], \n",
    "    'BNA': [\"Nashville\", \"TN\", \"Tennessee\"],\n",
    "    'FFC': [\"Peachtree City\", \"GA\", \"Georgia\"],\n",
    "    'BMX': [\"Shelby County Airport\", \"AL\", \"Alabama\"],\n",
    "    'JAX': [\"Jacksonville\", \"FL\", \"Florida\"],\n",
    "    'TLH': [\"Tallahassee\", \"FL\", \"Florida\"],\n",
    "    'TBW': [\"Tampa Bay\", \"FL\", \"Florida\"],\n",
    "    'MFL': [\"Miami\", \"FL\", \"Florida\"],\n",
    "    'KEY': [\"Key West\", \"FL\", \"Florida\"],\n",
    "    'LIX': [\"Slidell Muni\", \"LA\", \"Louisiana\"],\n",
    "    'LCH': [\"Lake Charles\", \"LA\", \"Louisiana\"],\n",
    "    'SHV': [\"Shreveport\", \"LA\", \"Louisiana\"],\n",
    "    'JAN': [\"Jackson\", \"MS\", \"Mississippi\"],\n",
    "    'LZK': [\"Little Rock\", \"AR\", \"Arkansas\"], \n",
    "    #-- SOUTHERN PLAINS ------------------\n",
    "    'SGF': [\"Springfield\", \"MO\", \"Missouri\"],\n",
    "    'CRP': [\"Corpus Christi\", \"TX\", \"Texas\"],\n",
    "    'FWD': [\"Dallas\", \"TX\", \"Texas\"],\n",
    "    'DRT': [\"Del Rio\", \"TX\", \"Texas\"],\n",
    "    'MAF': [\"Midland\", \"TX\", \"Texas\"],\n",
    "    'BRO': [\"Brownsville\", \"TX\", \"Texas\"],\n",
    "    'EPZ': [\"Santa Teresa\", \"TX\",  \"Texas\"],\n",
    "    'AMA': [\"Amarillo\", \"TX\", \"Texas\"],\n",
    "    'OUN': [\"Norman\", \"OK\", \"Oklahoma\"],\n",
    "    'LMN': [\"Lamont\", \"OK\", \"Oklahoma\"],\n",
    "    'DDC': [\"Dodge City\", \"KS\", \"Kansas\"],\n",
    "    'TOP': [\"Topeka\", \"KS\", \"Kansas\"],\n",
    "    #-- NORTHERN & HIGH PLAINS ------------\n",
    "    'LBF': [\"North Platte\", \"NE\", \"Nebraska\"],\n",
    "    'OAX': [\"Omaha\", \"NE\", \"Nebraska\"],\n",
    "    'RAP': [\"Rapid City\", \"SD\", \"South Dakota\"],\n",
    "    'ABR': [\"Aberdeen\", \"SD\", \"South Dakota\"],\n",
    "    'BIS': [\"Bismarck\", \"ND\", \"North Dakota\"],\n",
    "    'TFX': [\"Great Falls\", \"MT\", \"Montana\"],\n",
    "    'RIW': [\"Riverton\", \"WY\", \"Wyoming\"],\n",
    "    'DNR': [\"Denver\", \"CO\", \"Colorado\"],\n",
    "    #-- ROCKIES AND NORTHWEST -------------\n",
    "    'OTX': [\"Spokane\", \"WA\", \"Washington\"],\n",
    "    'UIL': [\"Quillayute\", \"WA\", \"Washington\"],\n",
    "    'SLE': [\"Salem\", \"OR\", \"Oregon\"],\n",
    "    'MFR': [\"Medford\", \"OR\", \"Oregon\"],\n",
    "    'BOI': [\"Boise\", \"ID\", \"Idaho\"],\n",
    "    'LKN': [\"Elko\", \"NV\", \"Nevada\"],\n",
    "    'SLC': [\"Salt Lake City\", \"NV\", \"Nevada\"],\n",
    "    'GJT': [\"Grand Juction\", \"CO\", \"Colorado\"],\n",
    "    #-- SOUTHWEST ------------------------\n",
    "    'REV': [\"Reno\", \"NV\", \"Nevada\"],\n",
    "    'VEF': [\"Las Vegas\", \"NV\", \"Nevada\"],\n",
    "    'FGZ': [\"Flagstaff\", \"AZ\", \"Arizona\"],\n",
    "    'TUS': [\"Tucson\", \"AZ\", \"Arizona\"],\n",
    "    'ABQ': [\"Albuquerque\", \"NM\", \"New Mexico\"],\n",
    "    'NKX': [\"San Diego\", \"CA\", \"California\"],\n",
    "    'VBG': [\"Vandenberg AFB\", \"CA\", \"California\"],\n",
    "    'OAK': [\"Oakland\", \"CA\", \"California\"],\n",
    "    #-- ALASKA ---------------------------\n",
    "    'PANT': [\"Annette Island\", \"AK\", \"Alaska\"],\n",
    "    'PAYA': [\"Yakutat\", \"AK\", \"Alaska\"],\n",
    "    'PADQ': [\"Kodiak\", \"AK\", \"Alaska\"],\n",
    "    'PACD': [\"Cold Bay\", \"AK\", \"Alaska\"],\n",
    "    'PASY': [\"Shemya AFB\", \"AK\", \"Alaska\"],\n",
    "    'PASN': [\"St. Paul\", \"AK\", \"Alaska\"],\n",
    "    'PAKN': [\"King Salmon\", \"AK\", \"Alaska\"],\n",
    "    'PANC': [\"Anchorage\", \"AK\", \"Alaska\"],\n",
    "    'PABE': [\"Bethel\", \"AK\", \"Alaska\"],\n",
    "    'PAMC': [\"Mcgrath\", \"AK\", \"Alaska\"],\n",
    "    'PAFA': [\"Fairbanks\", \"AK\", \"Alaska\"],\n",
    "    'PAOM': [\"Nome\", \"AK\", \"Alaska\"],\n",
    "    'PAOT': [\"Kotzebue, Ralph Wien\", \"AK\", \"Alaska\"],\n",
    "    'PABR': [\"Barrow\", \"AK\", \"Alaska\"],\n",
    "    #-------------- CANADA ---------------\n",
    "    #--Nova Scotia ----------------------\n",
    "    'YQI': [\"Yarmouth\", \"NS\", \"Nova Soctia\"],\n",
    "    'AWE': [\"Shearwater\", \"NS\", \"Nova Soctia\"],\n",
    "    #--Newfoundland ---------------------\n",
    "    'YYR': [\"Goose Bay\", \"NF\", \"Newfoundland\"],\n",
    "    'YJT': [\"Stephenville\", \"NF\", \"Newfoundland\"],\n",
    "    'AYT': [\"Mt Pearl\", \"NF\", \"Newfoundland\"],\n",
    "    #--Quebec --------------------------\n",
    "    'WPH': [\"Inukjuak\", \"QB\", \"Quebec\"],\n",
    "    'YVP': [\"Kuujjuaq\", \"QB\", \"Quebec\"],\n",
    "    'WMW': [\"Maniwaki\", \"QB\", \"Quebec\"],\n",
    "    'YAH': [\"La Grande Iv\", \"QB\", \"Quebec\"],\n",
    "    'YZV': [\"Sept-Iles\", \"QB\", \"Quebec\"],\n",
    "    #--Ontario -------------------------\n",
    "    'YMO': [\"Moosonee\", \"ON\", \"Ontario\"],\n",
    "    'WPL': [\"Pickle Lake\", \"ON\", \"Ontario\"],\n",
    "    #--Manitoba ------------------------    \n",
    "    'YYQ': [\"Churchill\", \"MB\", \"Manitoba\"],\n",
    "    'YQD': [\"The Pas\", \"MB\", \"Manitoba\"],\n",
    "    #--Alberta -------------------------\n",
    "    'WSE': [\"Edmonton Stony Plain\", \"AB\", \"Alberta\"],\n",
    "    #--British Columbia ---------------\n",
    "    'CWVK':[\"Vernon\", \"BC\", \"British Columbia\"],\n",
    "    'ZXS': [\"Prince George\", \"BC\", \"British Columbia\"],\n",
    "    'YYE': [\"Fort Nelson\", \"BC\", \"British Columbia\"],\n",
    "    'YZT': [\"Port Hardy\", \"BC\", \"British Columbia\"],\n",
    "    #--Yukon --------------------------\n",
    "    'YXY': [\"Whitehorse\", \"YT\", \"Yukon\"],\n",
    "    #--Northwest Territories ----------\n",
    "    'YVQ': [\"Norman Wells Ua\", \"NT\", \"Northwest Territories\"],\n",
    "    'YEV': [\"Inuvik\", \"NT\", \"Northwest Territories\"],\n",
    "    'YBK': [\"Baker Lake\", \"NT\", \"Northwest Territories\"],\n",
    "    'YCB': [\"Cambridge Bay\", \"NT\", \"Northwest Territories\"],\n",
    "    'YUX': [\"Hall Beach\", \"NT\", \"Northerst Territories\"],\n",
    "    'YFB': [\"Iqaluit\", \"NT\", \"Northerst Territories\"],\n",
    "    #-- ATLANTIC ISLANDS------------------\n",
    "    'TJSJ': [\"San Juan\", \"PR\", \"Puerto Rico\"],\n",
    "    'MDSD': [\"Santo Domingo\", \"DO\", \"Dominican Republic\"]\n",
    "    \n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7926b0d1-6c3f-425b-ad21-244e5fd7d17d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[+] DATA RETRIEVAL ATTEMPT [1] WAS SUCCESSFUL\n",
      "<> DATA RETRIEVAL OPERATIONS COMPLETE <>\n",
      "________________________________________\n"
     ]
    }
   ],
   "source": [
    "# USER DATA------------------------------\n",
    "your_name = 'YOUR NAME'  # add your name here to add it to the plot!\n",
    "utc_year  = '2015'          # launch year                          \n",
    "utc_month = '06'            # launch month\n",
    "utc_day   = '23'            # launch day\n",
    "utc_hour  = '00'            # launch hour \n",
    "station   = 'DTX'           # 3 digit station id\n",
    "\n",
    "plot_TorReports = True      # set equal to True or False if you want SPC torn reports plotted or not\n",
    "plot_HailReports = True     # set equal to True or False if you want SPC hail reports plotted or not \n",
    "plot_WindReports = True     # set equal to True or False if you want SPC wind reports plotted or not \n",
    "plot_TorTracks = False       # set equal to True or False if you want SPC torn track reports plotted NOTE (currently 1950-2021 ONLY)\n",
    "\n",
    "# SET CITY AND STATE LOCATION FOR TITLE\n",
    "city = str(stations[station][0])  # this line sets the city corresponding to the station id via the dict in the previous cell - turn off by commenting a #\n",
    "state = str(stations[station][1]) # this line sets the state abrv. corresponding to the station id via the dict in the previous cell - turn off by commenting a #\n",
    "#city = 'Norman' # this line allows the user to manually set the city name if its not present in th dict in the previous cell\n",
    "#state = 'OK' # this line allows the user to manually set the city name if its not present in th dict in the previous cell\n",
    "\n",
    "# SET UTC DATETIME OBJECT\n",
    "utc_date = datetime(int(utc_year), int(utc_month), int(utc_day), int(utc_hour))  # create datetime object with UTC launch data\n",
    "\n",
    "# RETRIEVE DATA FROM WYOMING UPPER AIR\n",
    "for i in range(1, 11):\n",
    "    try: \n",
    "        df = WyomingUpperAir.request_data(utc_date, station)\n",
    "        worked = True\n",
    "        print(f'[+] DATA RETRIEVAL ATTEMPT [{i}] WAS SUCCESSFUL')\n",
    "        if worked == True:\n",
    "            print(f'<> DATA RETRIEVAL OPERATIONS COMPLETE <>')\n",
    "            break\n",
    "    except:\n",
    "        print(f'[!] DATA RETRIEVAL ATTEMPT [{i}] FAILED - UnvWym Server Failure')\n",
    "    pass\n",
    "\n",
    "# PARSE PRESSURE, TEMPERATRUE, DEWPOINT, WIND, HEIGHT, ETC FROM THE DATA FRAME        \n",
    "p1     = df['pressure'].values    * units(df.units['pressure'])      # parse raw pressure array \n",
    "T1     = df['temperature'].values * units(df.units['temperature'])   # parse raw temperature array\n",
    "Td1    = df['dewpoint'].values    * units(df.units['dewpoint'])      # parse raw dewpoint array\n",
    "wd1    = df['direction'].values   * units.degrees                    # parse raw wind direction array\n",
    "ws1    = df['speed'].values       * units(df.units['speed'])         # parse raw wind speed array\n",
    "u1, v1 = mpcalc.wind_components(ws1, wd1)                            # calc raw u and v wind components \n",
    "hgt1   = df['height'].values * units(df.units['height'])             # parse raw height values \n",
    "z_AGL  =(df['height']-df['elevation']).values * units.m              # parse and calc raw height AGL array\n",
    "lat    = df['latitude']                                              # parse station lat\n",
    "lon    = df['longitude']                                             # parse station lon\n",
    "stn_elevation_m  = np.round(df['elevation'].values)* units.m         # parse stn elevation (m)\n",
    "stn_elevation_ft = np.round((stn_elevation_m).to(units.ft),1)        # calculate stn elevation (ft)\n",
    "\n",
    "\n",
    "# FIX DUPLICATE VALUES & NaNs FOR BETTER CALCULATIONS\n",
    "non_dups = np.concatenate(([True], np.diff(p1) != 0))\n",
    "p    = p1[non_dups]\n",
    "T    = T1[non_dups]\n",
    "Td   = Td1[non_dups]\n",
    "hgt1 = hgt1[non_dups]\n",
    "z_AGL= z_AGL[non_dups]\n",
    "ws   = ws1[non_dups]\n",
    "wd   = wd1[non_dups]\n",
    "u    = u1[non_dups]\n",
    "v    = v1[non_dups]\n",
    "\n",
    "ws   = np.nan_to_num(ws, nan=0*units.kts)\n",
    "wd   = np.nan_to_num(wd, nan=0*units.degrees)\n",
    "u    = np.nan_to_num(u, nan=0*units.kts)\n",
    "v    = np.nan_to_num(v, nan=0*units.kts)\n",
    "hgt = np.nan_to_num(hgt1, nan=(hgt1[-2]+100*units.m)) # often times final hgt value is nan but its unused data, so a 'rigged fix' is used to put it through calcs without error\n",
    "p    = np.nan_to_num(p, nan=0*units.hPa)\n",
    "z_AGL = np.nan_to_num(z_AGL, nan=(z_AGL[-2]+100*units.m))\n",
    "\n",
    "\n",
    "# DETERMINE LOCAL DATE FOR STORM REPORTS AND TORNADO TRACKS \n",
    "tzFinder = TimezoneFinder()  # reuse\n",
    "timeZone = tzFinder.timezone_at(lng=lon[0], lat=lat[0])\n",
    "timeZoneAbrv = {\n",
    "    'America/Detroit': 'ET',\n",
    "    'America/Indiana/Indianapolis': 'ET',\n",
    "    'America/New_York': 'ET',\n",
    "    'America/Chicago': 'CT',\n",
    "    'America/Denver': 'MT',\n",
    "    'America/Los_Angeles': 'PT',\n",
    "    'America/Edmonton': 'CT'\n",
    "}\n",
    "\n",
    "from_zone = tz.gettz('UTC')               # 'from'-time zone (always UTC)\n",
    "to_zone = tz.gettz(timeZone)              # 'to'-time zone (set to the time zone for each station)\n",
    "utc = utc_date.replace(tzinfo=from_zone)  # tell UTC datetime object that it is in UTC time\n",
    "local_date = utc.astimezone(to_zone)      # convert UTC datetime object to local datetime object\n",
    "\n",
    "local_hour = local_date.strftime(\"%I %p\") # determine local hour in 12hr format\n",
    "local_day  = local_date.strftime(\"%d\")    # determine local day\n",
    "local_month = local_date.strftime(\"%m\")   # determine local month\n",
    "local_year = local_date.strftime(\"%Y\")    # determine local year\n",
    "print('________________________________________') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3a9701c-8f3d-409b-800c-1cc97eb18b66",
   "metadata": {},
   "source": [
    "### CALCULATIONS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4a17e837-ba30-4f2c-a8fe-554d48789e96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[+] GENERAL CALCULATIONS COMPLETE\n",
      "[+] SHARPPY WATCH TYPE AND PRECIP TYPE ESITMATIONS COMPLETE\n",
      "    --------\n",
      "    > WATCH TYPE:  PDS TOR  | PRECIP TYPE:  Rain.\n",
      "[+] SARS DATABASE MATCHING COMPLETE\n",
      "    --------\n",
      "    > Supercell MATCHES\n",
      "    -----------\n",
      "    > 94032718.CKL SIGTOR\n",
      "    > Total Loose Matches: 49\n",
      "    > # of Loose Matches that met Criteria: 38\n",
      "    > SVR Probability: 0.7755102040816326\n",
      " \n",
      "    > Hail MATCHES\n",
      "    -----------\n",
      "    > NO QUALITY MATCHES\n",
      "    > Total Loose Matches: 1.0\n",
      "    > # of Loose Matches that met Criteria: 1.0\n",
      "    > SVR Probability: 1.0\n",
      " \n",
      "[+] SARS OUTPUT COMPLETE\n",
      "[+] PARCEL AND THERMODYNAMIC CALCULATIONS COMPLETE\n",
      "[+] FREEZING POINT CALCULATIONS COMPLETE\n",
      "[+] LAPSE RATE CALCULATIONS COMPLETE\n",
      "[+] SHEAR CALCULATIONS COMPLETE\n",
      "[+] RH CALCULATIONS COMPLETE\n",
      "____________________________\n"
     ]
    }
   ],
   "source": [
    "######################################### SHARRPY AND BASIC VALUE CALCULATIONS ##############################################\n",
    "# SHARPPY GENERAL & CONVECTIVE PROFILE CREATION\n",
    "try:\n",
    "    prof = profile.create_profile(profile='default', pres=p.m, hght=z_AGL.m, tmpc=T.m, \\\n",
    "                                    dwpc=Td.m, wspd=ws, wdir=wd, missing=-9999, strictQC=True)\n",
    "    convect_prof = sharppy.sharptab.profile.ConvectiveProfile(pres=p.m, hght=z_AGL.m, tmpc=T.m, \n",
    "                                    dwpc=Td.m, wspd=ws, wdir=wd, location=station, date=utc_date)\n",
    "    sharppyFailed = False \n",
    "except:\n",
    "    print(\"[*] SHARPPY FAILED\")\n",
    "    sharppyFailed = True\n",
    "    pass\n",
    "\n",
    "# CALCULATE OTHER VALUES-------------------------------\n",
    "Tw = mpcalc.wet_bulb_temperature(p, T, Td)             # WETBULB TEMP\n",
    "q = mpcalc.specific_humidity_from_dewpoint(p, Td)      # SPECIFIC HUMIDITY\n",
    "w = mpcalc.mixing_ratio_from_specific_humidity(q)      # MIXING RATIO\n",
    "Tv = mpcalc.virtual_temperature(T, w)                  # VIRTUAL TEMP\n",
    "T_degF = np.round(T.to(units.degF), 1)                 # CONVERT T TO DEGF\n",
    "Td_degF = np.round(Td.to(units.degF), 1)               # CONVERT TD TO DEGF\n",
    "theta = np.round(mpcalc.potential_temperature(p, T),1) # THETA\n",
    "theta_e = np.round(mpcalc.equivalent_potential_temperature(p, T, Td),1)   # THETA E\n",
    "\n",
    "#CALCULATE SPECIAL PARAMETERS \n",
    "pwat = np.round(mpcalc.precipitable_water(p, Td).to('in'), 1)           # calc & round PWAT\n",
    "r = mpcalc.relative_humidity_from_dewpoint(T, Td)                       # calculate r\n",
    "RH = np.round((r*100),1)                                                # calculate RH from r\n",
    "w_raw = mpcalc.mixing_ratio_from_relative_humidity(p, T, r)             # calculate mixing ratio\n",
    "w = np.round((w_raw*1000),1)*units.g/units.kg                           # convert to g/kg and define units\n",
    "mean_w = np.round(sum(w)/len(w), 1)                                     # find mean mixing ratio\n",
    "\n",
    "roseDirection = mpcalc.angle_to_direction(wd[0], full=False, level=3)   # calculate compass rose direction\n",
    "print(\"[+] GENERAL CALCULATIONS COMPLETE\")\n",
    "\n",
    "\n",
    "# POSSIBLE HZRDS (WATCH_TYPE), PTYPE, INITAL PHASE AND WINDCHILL FROM SHARPPY PROFILES\n",
    "try:\n",
    "    watch_type = sharppy.sharptab.watch_type.possible_watch(convect_prof, use_left=False)\n",
    "    ptype = convect_prof.precip_type\n",
    "\n",
    "\n",
    "    # TEXT COLORS FOR WATCH TYPE DATA TEXT PLOTS\n",
    "    watch_type_txt_clr = {\n",
    "        'NONE': 'green',\n",
    "        'MRGL SVR': 'steelblue',\n",
    "        'SVR': 'orange',\n",
    "        'MRGL TOR': 'red',\n",
    "        'TOR': 'red',\n",
    "        'PDS TOR': 'magenta',\n",
    "        'FLASH FLOOD': 'lawngreen',\n",
    "        'BLIZZARD': 'blue',\n",
    "        'WIND CHILL': 'cornflowerblue',\n",
    "        'FREEZE': 'mediumblue',\n",
    "        'FIRE WEATHER': 'orange',\n",
    "        'EXESSIVE HEAT': 'pink'\n",
    "    }\n",
    "\n",
    "    ptype_txt_clr = {\n",
    "        'None.': 'brown',\n",
    "        'Rain.': 'green',\n",
    "        'Snow.': 'blue',\n",
    "        'Freezing Rain/Drizzle.': 'purple'\n",
    "    }\n",
    "\n",
    "    if ptype == 'Freezing Rain/Drizzle.':\n",
    "        ptype = 'ZR / DRZL'\n",
    "\n",
    "    DGZ_ptype_txt_clr = {\n",
    "        'None':'brown',\n",
    "        'Rain':'green',\n",
    "        'Snow':'blue',\n",
    "        'Freezing Rain':'purple'\n",
    "    } \n",
    "\n",
    "    print(\"[+] SHARPPY WATCH TYPE AND PRECIP TYPE ESITMATIONS COMPLETE\")\n",
    "    print(\"    --------\")\n",
    "    print('    > WATCH TYPE: ', watch_type[0], \" | PRECIP TYPE: \", ptype)\n",
    "    \n",
    "    #BEGIN SARS DATABASE SCRIPT \n",
    "    from sharppy.io.spc_decoder import SPCDecoder\n",
    "    import sharppy.databases.sars as sars\n",
    "    try:\n",
    "        supercell_matches = convect_prof.supercell_matches\n",
    "        hail_matches = convect_prof.matches\n",
    "    except:\n",
    "        supercell_matches = convect_prof.right_supercell_matches\n",
    "        hail_matches = convect_prof.right_matches\n",
    "\n",
    "    print(\"[+] SARS DATABASE MATCHING COMPLETE\")\n",
    "    print(\"    --------\")\n",
    "    for mtype, matches in zip(['Supercell', 'Hail'], [supercell_matches, hail_matches]):\n",
    "        print('    > ' + mtype + ' MATCHES')\n",
    "        print('    -----------')\n",
    "        if len(matches[0]) == 0:\n",
    "            print(\"    > NO QUALITY MATCHES\")\n",
    "        for i in range(len(matches[0])):\n",
    "            print('    > '+matches[0][i] + ' ' + str(matches[1][i]))\n",
    "        print(\"    > Total Loose Matches:\", matches[2])\n",
    "        print(\"    > # of Loose Matches that met Criteria:\", matches[3])\n",
    "        print(\"    > SVR Probability:\", matches[4])\n",
    "        print(' ')    \n",
    "except:\n",
    "    print(\"[!] SARS OUTPUT FAILED\") \n",
    "    pass\n",
    "print(\"[+] SARS OUTPUT COMPLETE\") \n",
    "############################################################################################################################\n",
    "\n",
    "############################################## PARCEL PROPERTIES ############################################################\n",
    "if sharppyFailed == False:\n",
    "    # SURFACE PARCEL ----------------------------------------------------------------------------------------------\n",
    "    sbpcl = params.parcelx(prof, flag=1, pres=p[0].m, tmpc=T[0].m, dwpc=Td[0].m)          # create sfc parcel object\n",
    "    sbT_trace = sbpcl.ttrace*units.degC                                                   # create sfc parcel T trace \n",
    "    sbP_trace = sbpcl.ptrace*units.hPa                                                    # create sfc parcel P trace \n",
    "    sb_lcl_p   = int(sbpcl.lclpres) *units.hPa                                            # calc SB LCL (hPa)\n",
    "    sb_lcl_hgt = int(sbpcl.lclhght) *units.m                                              # calc SB LCL (m) \n",
    "    try:                                                                                  # try SHARPPY height calcs \n",
    "        sb_lfc_p   = int(sbpcl.lfcpres) *units.hPa                                        # calc SB LFC (hPa)\n",
    "        sb_lfc_hgt = int(sbpcl.lfchght) *units.m                                          # calc SB LFC (m)\n",
    "        sb_el_p    = int(sbpcl.elpres ) *units.hPa                                        # calc SB EL(hPa)\n",
    "        sb_el_hgt  = int(sbpcl.elhght ) *units.m                                          # calc SB EL (m)\n",
    "        #sb_mpl_hgt = int(sbpcl.mplhght) *units.m                                          # calc SB MPL (m)\n",
    "    except:                                                                               # upon failure, set all to NaN\n",
    "        sb_lfc_p         =  float(\"NaN\")*units.hPa                                        # set SB LFC p to 'Nan' \n",
    "        sb_lfc_hgt       =  float(\"NaN\")*units.m                                          # set SB LFC m to 'Nan' \n",
    "        sb_el_p          =  float(\"NaN\")*units.hPa                                        # set SB EL p to 'Nan'\n",
    "        sb_el_hgt        =  float(\"NaN\")*units.m                                          # set SB EL m to 'Nan'\n",
    "        sb_mpl_hgt       =  float(\"NaN\")*units.m                                          # set SB MPL m to 'Nan'\n",
    "        pass\n",
    "    # buoyancy \n",
    "    sbcape  = int(sbpcl.bplus)                                                            # calc SBCAPE\n",
    "    sbcin   = int(sbpcl.bminus)                                                           # calc SBCIN\n",
    "    sb3cape = int(sbpcl.b3km)                                                             # calc SB 3CAPE\n",
    "    sb6cape = int(sbpcl.b6km)                                                             # calc SB 6CAPE\n",
    "    sb_li    = int(sbpcl.li5)                                                             # calc SB LI\n",
    "\n",
    "    # MIXED PARCEL ------------------------------------------------------------------------------------------------\n",
    "    depth = (p[0].m - interp.pres(prof, interp.to_msl(prof, 1000)))*units.hPa             # calculate mixed layer depth\n",
    "    mlpcl_p, mlpcl_T, mlpcl_Td = mpcalc.mixed_parcel(p, T, Td, depth=depth)[0:3]          # create METPY mixed parcel lvl\n",
    "    mlpcl = params.parcelx(prof, flag=5, pres=mlpcl_p.m, tmpc=mlpcl_T.m, dwpc=mlpcl_Td.m) # create SHARPPY mixed parcel object\n",
    "    mlT_trace = mlpcl.ttrace.tolist()*units.degC                                          # define mixed parcel T trace \n",
    "    mlP_trace = mlpcl.ptrace.tolist()*units.hPa                                           # define mixed parcel P trace \n",
    "    ml_lcl_p   = int(mlpcl.lclpres) *units.hPa                                            # calc ML LCL (hPa)\n",
    "    ml_lcl_hgt = int(mlpcl.lclhght) *units.m                                              # calc ML LCL (m) \n",
    "    try:                                                                                  # try sharppy height calcs \n",
    "        ml_lfc_p   = int(mlpcl.lfcpres) *units.hPa                                        # calc ML LFC (hPa)\n",
    "        ml_lfc_hgt = int(mlpcl.lfchght) *units.m                                          # calc ML LFC (m)\n",
    "        ml_el_p    = int(mlpcl.elpres ) *units.hPa                                        # calc ML EL (hPa)\n",
    "        ml_el_hgt  = int(mlpcl.elhght ) *units.m                                          # calc ML EL (m)\n",
    "    except:                                                                               # upon failure, set heights = NaN\n",
    "        ml_lfc_p         =  float(\"NaN\") *units.hPa                                       # set to NaN \n",
    "        ml_lfc_hgt       =  float(\"NaN\") *units.m                                         # set to NaN \n",
    "        ml_el_p          =  float(\"NaN\") *units.hPa                                       # set to NaN\n",
    "        ml_el_hgt        =  float(\"NaN\") *units.m                                         # set to NaN\n",
    "        pass\n",
    "    # buoyancy \n",
    "    mlcape  = int(mlpcl.bplus)                                                            # calc MLCAPE \n",
    "    mlcin   = int(mlpcl.bminus)                                                           # calc MLCIN\n",
    "    ml3cape = int(mlpcl.b3km)                                                             # calc ML 3CAPE\n",
    "    ml6cape = int(mlpcl.b6km)                                                             # calc ML 6CAPE \n",
    "    ml_li   = int(mlpcl.li5)                                                              # calc ML LI\n",
    "\n",
    "    p_ML03, T_ML03 = mpcalc.get_layer(mlP_trace, mlT_trace, depth=3*units.km)             # get_layer for 0-3km ML parcel\n",
    "    p_ML06, T_ML06 = mpcalc.get_layer(mlP_trace, mlT_trace, depth=6*units.km)             # get_layer for 0-6km ML parcel\n",
    "\n",
    "\n",
    "    # MOST UNSTABLE PARCEL ---------------------------------------------------------------------------------------\n",
    "    mupcl_p, mupcl_T, mupcl_Td = mpcalc.most_unstable_parcel(p, T, Td, depth=depth)[0:3]\n",
    "    mupcl = params.parcelx(prof, flag=3, pres=mupcl_p.m, tmpc=mupcl_T.m, dwpc=mupcl_Td.m)\n",
    "    muT_trace = mupcl.ttrace*units.degC\n",
    "    muP_trace = mupcl.ptrace*units.hPa\n",
    "    mu_lcl_p   = int(mupcl.lclpres) *units.hPa\n",
    "    mu_lcl_hgt = int(mupcl.lclhght) *units.m\n",
    "    try:                                                                                  # try sharppy height calcs \n",
    "        mu_lfc_p   = int(mupcl.lfcpres) *units.hPa                                        # calc ML LFC (hPa)\n",
    "        mu_lfc_hgt = int(mupcl.lfchght) *units.m                                          # calc ML LFC (m)\n",
    "        mu_el_p    = int(mupcl.elpres ) *units.hPa                                        # calc ML EL (hPa)\n",
    "        mu_el_hgt  = int(mupcl.elhght ) *units.m                                          # calc ML EL (m)\n",
    "    except:                                                                               # upon failure, set heights = NaN\n",
    "        mu_lfc_p         =  float(\"NaN\") *units.hPa                                       # set to NaN \n",
    "        mu_lfc_hgt       =  float(\"NaN\") *units.m                                         # set to NaN \n",
    "        mu_el_p          =  float(\"NaN\") *units.hPa                                       # set to NaN\n",
    "        mu_el_hgt        =  float(\"NaN\") *units.m                                         # set to NaN\n",
    "        pass\n",
    "    # buoyancy \n",
    "    mucape  = int(mupcl.bplus)\n",
    "    mu_cape = mupcl.bplus\n",
    "    mucin   = int(mupcl.bminus)\n",
    "    mu3cape = int(mupcl.b3km)\n",
    "    mu6cape = int(mupcl.b6km)\n",
    "    mu_li   = int(mupcl.li5)   \n",
    "    \n",
    "    if math.isnan(mu_lfc_hgt.m) == False:\n",
    "        try:\n",
    "            mu_ncape = np.round(mucape / ((mu_el_hgt.m - mu_lfc_hgt.m)),1)                      # calculate normalized MUCAPE\n",
    "            sb_ncape = np.round(sbcape / ((sb_el_hgt.m - sb_lfc_hgt.m)),1)                      # calculate normalized SBCAPE\n",
    "            ml_ncape = np.round(mlcape / ((ml_el_hgt.m - ml_lfc_hgt.m)),1)                      # calculate normalized MLCAPE\n",
    "        except:                                                                                 # upon failure, set = '-'\n",
    "            mu_ncape = '-'\n",
    "            sb_ncape = '-'\n",
    "            ml_ncape = '-'\n",
    "            pass\n",
    "    else:\n",
    "        mu_ncape = '-'\n",
    "        sb_ncape = '-'\n",
    "        ml_ncape = '-'\n",
    "    print(\"[+] PARCEL AND THERMODYNAMIC CALCULATIONS COMPLETE\")\n",
    "    \n",
    "    \n",
    "\n",
    "# FREEZING POINT CALCULATION------------------------------------------------------------------                                                                    \n",
    "T_list = T.m.tolist()                                                                  # convert T to list to filter \n",
    "res = list(filter(lambda i: i <= 0, T_list))[0]                                        # filter T for 0 degC\n",
    "frz_pt_index = T_list.index(res)                                                       # define pt where T = 0 degC\n",
    "frz_pt_p = p[frz_pt_index]                                                             # find pres @ T = 0 degC \n",
    "frz_pt_z = hgt[frz_pt_index]                                                           # find height @ T = 0 degC\n",
    "frz_pt_ft = frz_pt_z.to('ft')               \n",
    "print('[+] FREEZING POINT CALCULATIONS COMPLETE')\n",
    "\n",
    "# HAIL GROWTH ZONE CALCULATIONS ---------------------------------------------------------------\n",
    "hgz = params.hgz(prof)\n",
    "hgz_deltaz = np.round((interp.hght(prof, hgz[1])-interp.hght(prof, hgz[0])),1)*units.m\n",
    "pHGZ, tHGZ = mpcalc.get_layer(p, T, bottom=hgz[0]*units.hPa, depth=(hgz[0]-hgz[1])*units.hPa)\n",
    "\n",
    "# PBL TOP CALCULATION--------------------------------------------------------------------------\n",
    "pbl_top = params.pbl_top(prof)                                                         # calc SHARPPY PBL top height\n",
    "\n",
    "# LAPSE RATE CALCULATIONS--------------------------------------------------------------------\n",
    "if sharppyFailed == False:\n",
    "    lr_3_6km = sharppy.sharptab.params.lapse_rate(convect_prof, 3000, 6000, pres=False)    # calc 3-6km Lapse Rate\n",
    "    lr_0_3km = sharppy.sharptab.params.lapse_rate(convect_prof, 0, 3000, pres=False)       # calc 0-3km Lapse Rate \n",
    "    LapseMax = params.max_lapse_rate(convect_prof, lower=0, upper=6000, interval=250,      # calc 0-12km Max Lapse Rate\n",
    "                                 depth=2000)\n",
    "if sharppyFailed == True:\n",
    "    lr_3_6km = -999\n",
    "    lr_0_3km = -999\n",
    "    LapseMax = -999\n",
    "print('[+] LAPSE RATE CALCULATIONS COMPLETE')\n",
    "\n",
    "#  -------------------------------------------- KINEMATIC CALCULATIONS -------------------------------------------------\n",
    "\n",
    "# EFFECTIVE INFLOW LAYER CALCULATIONS -----------------------------------------------------------\n",
    "srwind = params.bunkers_storm_motion(prof)\n",
    "eff_inflow = params.effective_inflow_layer(prof)\n",
    "ebot_hght = interp.to_agl(prof, interp.hght(prof, eff_inflow[0]))\n",
    "etop_hght = interp.to_agl(prof, interp.hght(prof, eff_inflow[1])) \n",
    "eff_layer = (etop_hght - ebot_hght)\n",
    "effective_srh = winds.helicity(prof, ebot_hght, etop_hght, stu = srwind[0], stv = srwind[1])*(units.meter*units.meter)/(units.sec*units.sec)\n",
    "if np.isnan(effective_srh[0]) == True:\n",
    "        effective_SRH = 'nan'\n",
    "if np.isnan(effective_srh[0]) == False:\n",
    "        effective_SRH = int(effective_srh[0].m)      \n",
    "try:\n",
    "    EILshr_u, EILshr_v = mpcalc.bulk_shear(p, u.to(units.kts),v.to(units.kts), z, \n",
    "                                       bottom =(ebot_hght + z[0].m + 20)*units.m, \n",
    "                                       depth=(etop_hght - ebot_hght)*units.m)\n",
    "    effective_bs = int((np.sqrt(EILshr_u**2 + EILshr_v**2)))\n",
    "except:\n",
    "    effective_bs = 'nan'\n",
    "    pass\n",
    "if ma.is_masked(eff_layer) == True:\n",
    "    eff_layer = 0\n",
    "    \n",
    "#MEAN SHEAR -------------------------------------------------------------------------\n",
    "#calculate Bulk Shear for 0-1km, 0-3km, 0-6km, 0-8km.\n",
    "u_shear005, v_shear005 = mpcalc.bulk_shear(p, u.to(units.kts), v.to(units.kts), depth = 500 * units.meter)\n",
    "shear005 = np.round((np.sqrt(u_shear005**2 + v_shear005**2)), 1)\n",
    "u_shear01, v_shear01 = mpcalc.bulk_shear(p, u.to(units.kts), v.to(units.kts), depth = 1000 * units.meter)\n",
    "shear01 = np.round((np.sqrt(u_shear01**2 + v_shear01**2)), 1)\n",
    "u_shear03, v_shear03 = mpcalc.bulk_shear(p, u.to(units.kts), v.to(units.kts), depth = 3000 * units.meter)\n",
    "shear03 = np.round((np.sqrt(u_shear03**2 + v_shear03**2)), 1)\n",
    "u_shear06, v_shear06 = mpcalc.bulk_shear(p, u.to(units.kts),v.to(units.kts), depth = 6000 * units.meter)\n",
    "shear06 = np.round((np.sqrt(u_shear06**2 + v_shear06**2)), 1)\n",
    "\n",
    "if sharppyFailed == False:\n",
    "    # SHARPPY BUNKERS STORM MOTIONS -------------------------------------------------------------------\n",
    "    RM_u, RM_v, LM_u, LM_v = params.bunkers_storm_motion(convect_prof)*units.kts \n",
    "    #METPY BUNKERS STORM MOTIONS ----------------------------------------------------------------------\n",
    "    RM, LM, MW = mpcalc.bunkers_storm_motion(p, u, v, hgt)\n",
    "    MW_u = MW[0]\n",
    "    MW_v = MW[1] \n",
    "    if ma.is_masked(RM_u) == True or np.isnan(RM_u) == True or sharppyFailed == True:\n",
    "        RM, LM, MW = mpcalc.bunkers_storm_motion(p, u, v, hgt)\n",
    "        MW_u = MW[0]\n",
    "        MW_v = MW[1] \n",
    "        RM_u = RM[0]\n",
    "        RM_v = RM[1]\n",
    "        LM_u = LM[0]\n",
    "        LM_v = LM[1]\n",
    "        MW_u = MW[0]\n",
    "        MW_v = MW[1]    \n",
    "        print(\"[*] METPY BUNKERS USED\")\n",
    "    \n",
    "# RM STORM RELATIVE HELICITY -----------------------------------------------------------\n",
    "# calculate and round positive, negative and total SRH for 0-1km, 0-3km, and 0-6km.\n",
    "srh_005_pos, srh_005_neg, srh_005_tot = mpcalc.storm_relative_helicity(hgt, u.to(units.kts), v.to(units.kts), 500 * units.meter, bottom = hgt[0], storm_u = RM_u, storm_v = RM_v)\n",
    "srh_005 = np.round(srh_005_pos, 1)\n",
    "\n",
    "srh_01_pos, srh_01_neg, srh_01_tot = mpcalc.storm_relative_helicity(hgt, u.to(units.kts), v.to(units.kts), 1000 * units.meter, bottom = hgt[0], storm_u = RM_u, storm_v = RM_v)\n",
    "srh_01 = np.round(srh_01_pos, 1)\n",
    "srh_03_pos, srh_03_neg, srh_03_tot = mpcalc.storm_relative_helicity(hgt, u.to(units.kts), v.to(units.kts), 3000 * units.meter, bottom = hgt[0], storm_u = RM_u, storm_v = RM_v)\n",
    "srh_03 = np.round(srh_03_pos, 1)\n",
    "srh_06_pos, srh_06_neg, srh_06_tot = mpcalc.storm_relative_helicity(hgt, u.to(units.kts), v.to(units.kts), 6000 * units.meter, bottom = hgt[0], storm_u = RM_u, storm_v = RM_v)\n",
    "srh_06 = np.round(srh_06_pos, 1)\n",
    "\n",
    "# METPY SEVERE PARAMETERS -----------------------------------------------------------------\n",
    "KI = mpcalc.k_index(p, T, Td)                                           # calc K Index\n",
    "TT = np.round(mpcalc.total_totals_index(p, T, Td), 1)                   # calc & round TT\n",
    "showalter_index = np.round(mpcalc.showalter_index(p, T, Td), 1)         # calc & round showalter\n",
    "\n",
    "if sharppyFailed == False:\n",
    "    u0, v0 = sharppy.sharptab.interp.components(prof, p=interp.pres(prof, interp.to_msl(prof, 0)))\n",
    "    sru0 = u0 - RM_u.m\n",
    "    srv0 = v0 - RM_v.m\n",
    "    sr0_speed = mpcalc.wind_speed(sru0*units.kts, srv0*units.kts)\n",
    "    sr0_speed = mpcalc.wind_speed(sru0*units.kts, srv0*units.kts)\n",
    "\n",
    "    u05, v05 = sharppy.sharptab.interp.components(prof, p=interp.pres(prof, interp.to_msl(prof, 500)))\n",
    "    sru05 = u05 - RM_u.m\n",
    "    srv05 = v05 - RM_v.m\n",
    "    sr05_speed = mpcalc.wind_speed(sru05*units.kts, srv05*units.kts)\n",
    "    \n",
    "    u1, v1 = sharppy.sharptab.interp.components(prof, p=interp.pres(prof, interp.to_msl(prof, 1000)))\n",
    "    sru1 = u1 - RM_u.m\n",
    "    srv1 = v1 - RM_v.m\n",
    "    sr1_speed = mpcalc.wind_speed(sru1*units.kts, srv1*units.kts)\n",
    "    \n",
    "    u3, v3 = sharppy.sharptab.interp.components(prof, p=interp.pres(prof, interp.to_msl(prof, 300)))\n",
    "    sru3 = u3 - RM_u.m\n",
    "    srv3 = v3 - RM_v.m\n",
    "    sr3_speed = mpcalc.wind_speed(sru3*units.kts, srv3*units.kts)\n",
    "\n",
    "    u6, v6 = sharppy.sharptab.interp.components(prof, p=interp.pres(prof, interp.to_msl(prof, 6000)))\n",
    "    sru6 = u6 - RM_u.m\n",
    "    srv6 = v6 - RM_v.m\n",
    "    sr6_speed = mpcalc.wind_speed(sru6*units.kts, srv0*units.kts)\n",
    "    sr6_speed = mpcalc.wind_speed(sru6*units.kts, srv0*units.kts)\n",
    "\n",
    "    u9, v9 = sharppy.sharptab.interp.components(prof, p=interp.pres(prof, interp.to_msl(prof, 9000)))\n",
    "    sru9 = u9 - RM_u.m\n",
    "    srv9 = v9 - RM_v.m\n",
    "    sr9_speed = mpcalc.wind_speed(sru9*units.kts, srv9*units.kts)\n",
    "\n",
    "    sfc500m_SRwind = (sr05_speed + sr0_speed)/2\n",
    "    sfc1000m_SRwind = (sr1_speed + sr0_speed)/2\n",
    "    sfc3000m_SRwind = (sr3_speed + sr0_speed)/2\n",
    "    sfc6000m_SRwind = (sr6_speed + sr0_speed)/2\n",
    "    \n",
    "if sharppyFailed == True: \n",
    "    sfc500m_SRwind = -999\n",
    "    sixToNine_SRwind = -999\n",
    "\n",
    "# VORTICITY CALCULATIONS \n",
    "# interpolate function to intrp u and v data for clean plotting w/ hgt\n",
    "def interpolate(var,hgts,step):\n",
    "        levels=np.arange(0,np.max(hgts),step)\n",
    "        varinterp=np.zeros(len(levels))\n",
    "        for i in range(0,len(levels)):\n",
    "            lower=np.where(hgts-levels[i]<=0,hgts-levels[i],-np.inf).argmax()\n",
    "            varinterp[i]=(((var[lower+1]-var[lower])/(hgts[lower+1]-hgts[lower]))*(levels[i]-hgts[lower])+var[lower])\n",
    "        return varinterp \n",
    "    \n",
    "resolution=100\n",
    "pINTRP=p.m[np.isnan(hgt)==False]\n",
    "uINTRP=u.m[np.isnan(hgt)==False]\n",
    "vINTRP=v.m[np.isnan(hgt)==False]\n",
    "zINTRP=hgt.m[np.isnan(hgt)==False]\n",
    "zINTRP=zINTRP-zINTRP[0]\n",
    "# Interpolation\n",
    "pINTRP=interpolate(pINTRP,zINTRP,resolution)\n",
    "uINTRP=interpolate(uINTRP,zINTRP,resolution)\n",
    "vINTRP=interpolate(vINTRP,zINTRP,resolution)\n",
    "zINTRP=interpolate(zINTRP,zINTRP,resolution)\n",
    "\n",
    "u_ms = uINTRP/1.94384\n",
    "v_ms = vINTRP/1.94384\n",
    "\n",
    "uSR = (uINTRP*units.kts - RM_u)/1.94384\n",
    "vSR = (vINTRP*units.kts - RM_v)/1.94384\n",
    "\n",
    "\n",
    "# Shear components\n",
    "dudz=(u_ms[2::]-u_ms[0:-2])/(zINTRP[2::]-zINTRP[0:-2])\n",
    "dvdz=(v_ms[2::]-v_ms[0:-2])/(zINTRP[2::]-zINTRP[0:-2])\n",
    "dudz=np.insert(dudz,0,dudz[0])\n",
    "dudz=np.insert(dudz,-1,dudz[-1])\n",
    "dvdz=np.insert(dvdz,0,dvdz[0])\n",
    "dvdz=np.insert(dvdz,-1,dvdz[-1])\n",
    "# Shear magnitude\n",
    "shear=np.sqrt(dudz**2+dvdz**2)+0.0000001\n",
    "# Vorticity components\n",
    "uvort=-dvdz\n",
    "vvort=dudz\n",
    "# Streamwise vorticity\n",
    "strmw=abs((uSR*uvort+vSR*vvort)/(np.sqrt(uSR**2+vSR**2)))\n",
    "# Streamwise fraction\n",
    "strmwperc=(strmw/shear)*100\n",
    "\n",
    "# layer average streamwise vorticity and SW vort %\n",
    "strmwperc_05 = np.mean(strmwperc[0:5])\n",
    "strmwperc_01 = np.mean(strmwperc[0:10])\n",
    "strmwperc_03 = np.mean(strmwperc[0:30])\n",
    "strmw_05 = np.mean(strmw[0:5])\n",
    "strmw_01 = np.mean(strmw[0:10])\n",
    "strmw_03 = np.mean(strmw[0:30])\n",
    "\n",
    "print('[+] SHEAR CALCULATIONS COMPLETE')\n",
    "    \n",
    "# MEAN RELATIVE HUMIDITY CALCULATIONS ----------------------------------------------------------\n",
    "RH0_05 = sharppy.sharptab.params.mean_relh(prof, pbot=interp.pres(prof, interp.to_msl(prof, 0000)), ptop=interp.pres(prof, interp.to_msl(prof, 500)))\n",
    "RH0_1  = sharppy.sharptab.params.mean_relh(prof, pbot=interp.pres(prof, interp.to_msl(prof, 0000)), ptop=interp.pres(prof, interp.to_msl(prof, 1000)))\n",
    "RH1_3 = sharppy.sharptab.params.mean_relh(prof, pbot=interp.pres(prof, interp.to_msl(prof, 1000)), ptop=interp.pres(prof, interp.to_msl(prof, 3000)))\n",
    "try: #for lack of data with height \n",
    "    RH3_6 = sharppy.sharptab.params.mean_relh(prof, pbot=interp.pres(prof, interp.to_msl(prof, 3000)), ptop=interp.pres(prof, interp.to_msl(prof, 6000)))\n",
    "    RH6_9= sharppy.sharptab.params.mean_relh(prof, pbot=interp.pres(prof, interp.to_msl(prof, 6000)), ptop=interp.pres(prof, interp.to_msl(prof, 9000)))\n",
    "except ValueError:\n",
    "    pass\n",
    "print('[+] RH CALCULATIONS COMPLETE')\n",
    "print('____________________________')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c95f094-7549-496f-8e77-e9c49fc53e10",
   "metadata": {},
   "source": [
    "### CREATE FIGURE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "097b7c90-0665-4b80-922e-9cedef0a5c49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[+] SKEW T OBJECT CREATION COMPLETE\n",
      "[+] BASIC SKEW-T PLOTTING COMPLETE\n",
      "[+] SKEW-T ANNOTATIONS COMPLETE\n",
      "[+] HODOGRAPH CREATION & PLOTTING COMPLETE\n",
      "[+] SW ζ & RH (%) PLOTTING COMPLETE\n",
      "[+] VORTICITY PLOTTING COMPLETE\n",
      "[+] THETA PLOTTING COMPLETE\n",
      "[+] SPC WIND REPORT PLOTTING SUCESSFUL\n",
      "[+] SPC HAIL REPORT PLOTTING SUCESSFUL\n",
      "[+] SPC TORN REPORT PLOTTING SUCESSFUL\n",
      "_______________________________________\n",
      "The sounding is now loading. This may take a second, especially if you plotted reports and/or tornado tracks.\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1584x936 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###################################### FIGURE CREATION and SKEW T PROPERTIES ################################################\n",
    "#CREATE FIGURE-----------------------------------------------------------------------------------\n",
    "fig = plt.figure(figsize=(22,13), linewidth=10, edgecolor=\"black\")             # create figure                                   # create figure\n",
    "skew = SkewT(fig, rotation=43, rect=(0.1, 0.1, 0.70, 0.85))                    # create SkewT Object\n",
    "#AXIS LIMITS ------------------------------------------------------------------------------------\n",
    "# Change to adjust data limits and give it a semblance of what we want\n",
    "skew.ax.set_adjustable('datalim')                                             # allow for datalim adjustments \n",
    "skew.ax.set_ylim(1090, 100)                                                   # y axis (pressure hPa) limits                                         \n",
    "skew.ax.set_xlim(-40, 70)                                                     # x axis (degrees C) limits\n",
    "plt.xticks(fontsize=13)                                                       # define x axis tick mark size\n",
    "plt.yticks(fontsize=13, ha='left')                                            # define y axis tick mark size\n",
    "plt.tick_params(axis=\"x\",direction=\"in\", pad=-12)                             # set x tick params \n",
    "plt.tick_params(axis=\"y\",direction=\"in\", pad=-7)                              # set y tick params\n",
    "skew.ax.set_yticks([1000, 900, 800, 700, 600, 500, 400, 300, 200])            # declare lables for x axis \n",
    "skew.ax.set_yticklabels([1000, 900, 800, 700, 600, 500, 400, 300, 200])       # declare lables for y axis \n",
    "fig.set_facecolor('#ffffff')                                                  # add figure background color #f6f8fd\n",
    "skew.ax.set_facecolor('#ffffff')                                              # add skew background color                             \n",
    "plt.xlabel(\"  \", fontsize=12)                                                 # remove x axis label\n",
    "plt.ylabel(\"  \", fontsize=12)                                                 # remove y axis label\n",
    "#PLOT TITLE--------------------------------------------------------------------------------------\n",
    "plt.figtext( 0.10, 0.96, f'{station}  |  {stations[station][0]}, {stations[station][1]}  |  [{lat[0]}, {lon[0]}]',\n",
    "       weight='bold', ha='left', fontsize=22, color='black')\n",
    "plt.figtext( 1.22, 0.96, f'VALID:  {utc_hour}Z | {utc_month}/{utc_day}/{utc_year}  ',\n",
    "        weight='bold', ha='right', fontsize=22, color='black')\n",
    "print(\"[+] SKEW T OBJECT CREATION COMPLETE\")\n",
    "############################################################################################################################\n",
    "\n",
    "################################################## SKEW-T DATA PLOTTING ####################################################\n",
    "#PLOTS DATA LINES -------------------------------------------------------------------------------------------\n",
    "skew.ax.axvline(0 * units.degC, color='c')                                              # highlight zero degrees C isotherm\n",
    "skew.ax.axvline(-20 * units.degC, color='c')                                            # highlight -20 degrees C isotherm\n",
    "twline = skew.plot(p, Tw, 'blue', linewidth=2, label='Wetbulb T', alpha=0.4)         # plot wetbulb temperature trace \n",
    "tvline = skew.plot(p, Tv, '#0b6431', linestyle='--', linewidth=1, label='Virtual T', alpha=0.4)    # plot virtual temperature trace \n",
    "skew.plot_dry_adiabats(color='black', linewidth=0.5)                                    # plot dry adiabats\n",
    "skew.plot_moist_adiabats(linewidth=0.5)                                                 # plot moist adiabats\n",
    "skew.plot_mixing_lines(linewidth=0.2)                                                   # plot mixing ratio lines\n",
    "tdline = skew.plot(p, Td, 'green', linewidth=4.3, label='Dewpoint')                     # plot dewpoint trace \n",
    "tline = skew.plot(p, T, 'red', linewidth=4.6, label='Temperature')                      # plot temperature trace \n",
    "# PLOT PARCEL LINES -----------------------------------------------------------------------------------------\n",
    "if sbcape > 0:\n",
    "    sbparcelline = skew.plot(sbP_trace, sbT_trace, linestyle='--',                    # plot SB parcel trace \n",
    "                             linewidth=2, color='red', alpha=0.2, label='SB Parcel')    \n",
    "if mlcape > 0:\n",
    "    mlparcelline = skew.plot(mlP_trace, mlT_trace, color='red', linestyle='--',         # plot ML parcel trace\n",
    "                             linewidth=2, alpha=0.2, label='ML Parcel')               \n",
    "if mucape > 0:\n",
    "    muparcelline = skew.plot(muP_trace, muT_trace, color='red', linestyle='--',         # plot MU parcel trace  \n",
    "                             linewidth=2, alpha=0.2, label='MU Parcel') \n",
    "# SHADE ISOTHERMS----------------------------------------------------------------------------------------------\n",
    "x1 = np.linspace(-100, 40, 8)                                                     # The starting x values for the shaded regions\n",
    "x2 = np.linspace(-90, 50, 8)                                                      # The ending x values for the shaded regions\n",
    "y = [1090, 100]                                                                   # The range of y values that the shades regions should cover\n",
    "for i in range(0, 8):                                                             # shade every 10 degC isotherms\n",
    "    skew.shade_area(y=y, x1=x1[i], x2=x2[i], color='gray', alpha=0.03, zorder=1)       \n",
    "\n",
    "#PLOT HEIGHT (KM) VALUES ON PRESSURE AXIS-----------------------------------------------------------------------\n",
    "heightsAGL = np.array([1000,                                             # calculate height AGL for 1000m\n",
    "                       3000,                                             # calculate height AGL for 3000m\n",
    "                       6000,                                             # calculate height AGL for 6000m\n",
    "                       9000,                                             # calculate height AGL for 9000m\n",
    "                       12000])*units.m                                   # calculate height AGL for 12000m\n",
    "heights = np.array([1, 3, 6, 9, 12]) * units.km                          # Define what height values to plot\n",
    "std_pressures = mpcalc.height_to_pressure_std(heightsAGL)                # calculate height (km) to pressure value\n",
    "for height_tick, p_tick in zip(heights, std_pressures):                  # plot heights \n",
    "    trans, _, _ = skew.ax.get_yaxis_text1_transform(0)\n",
    "    skew.ax.text(0.048, p_tick, '-{:~d}-'.format(height_tick), fontsize=13, transform=trans)   \n",
    "sfc_p = (p[0].m*(1-(0.0065*(stn_elevation_m[0].m))/(T[0].m+(0.0065*(stn_elevation_m[0].m))+273.15))**-5.257)*units.hPa\n",
    "skew.ax.text(0.048, sfc_p, '-SFC-', fontsize=13, transform=trans) # plot 'SFC' @ surface pressure\n",
    "\n",
    "#CREATE AND PLOT WIND BARBS---------------------------------------------------------------------------------------\n",
    "interval = np.logspace(2.113, 3, 50) * units.hPa                                 # Arrange wind barbs for best fit\n",
    "idx = mpcalc.resample_nn_1d(p, interval)                                         # Resample wind barbs for best fit\n",
    "# create blank barbs for small dot at the start of each actual barb\n",
    "blank_len = len(u[idx])                                                          # find len(u) to create blank barbs         \n",
    "blank = np.zeros(blank_len)                                                      # fill blank barbs with 0kts \n",
    "skew.plot_barbs(pressure=p[idx],u=blank,v=blank,xloc=0.953,fill_empty=True,      # plot empty wind barbs \n",
    "                sizes=dict(emptybarb=0.075, width=0.18, height=0.4))\n",
    "skew.plot_barbs(pressure=p[idx], u=u[idx], v=v[idx],xloc=0.953, fill_empty=True,  # plot actual resampled wind barbs\n",
    "                sizes=dict(emptybarb=0.075, width=0.18, height=0.4), length=9)\n",
    "\n",
    "# Draw line underneath wind barbs\n",
    "line = mlines.Line2D([0.953, 0.953], [0.01,0.95],color='black',linewidth=0.5,    # create line object behind barbs\n",
    "                     transform=skew.ax.transAxes,clip_on=False,zorder=1)\n",
    "skew.ax.add_line(line)                                                           # plot the line \n",
    "\n",
    "print(\"[+] BASIC SKEW-T PLOTTING COMPLETE\")\n",
    "#############################################################################################################################\n",
    "\n",
    "#################################################### ANNOTATIONS  ###########################################################\n",
    "# MU HEIGHT ANNOTATIONS----------------------------------------------------------------\n",
    "if math.isnan(mu_lfc_hgt.m) == False:\n",
    "    plt.text((0.85), (mu_lfc_p), \"←LFC\", weight='bold',color='gray',               # plot MU LFC\n",
    "             alpha=0.9, fontsize=15, transform=skew.ax.get_yaxis_transform())\n",
    "    plt.text((0.85), (mu_el_p), \"←EL\", weight='bold',color='gray',                 # plot MU EL\n",
    "             alpha=0.9, fontsize=15, transform=skew.ax.get_yaxis_transform(), label='Height Label')\n",
    "\n",
    "# SB HEIGHT ANNOTATIONS----------------------------------------------------------------- \n",
    "plt.text((0.85), (sb_lcl_p), \"←LCL\", weight='bold',color='gray',                   # plot SB LCL\n",
    "         alpha=0.9, fontsize=15, transform=skew.ax.get_yaxis_transform())\n",
    "if math.isnan(mu_lfc_hgt.m) == True:\n",
    "    plt.text((0.85), (sb_lfc_p), \"←LFC\", weight='bold',color='gray',               # plot SB LFC\n",
    "             alpha=0.9, fontsize=15, transform=skew.ax.get_yaxis_transform())\n",
    "    plt.text((0.85), (sb_el_p), \"←EL\", weight='bold',color='gray',                 # plot SB EL\n",
    "             alpha=0.9, fontsize=15, transform=skew.ax.get_yaxis_transform(), label='Height Label') \n",
    "\n",
    "#FRREZING POINT ANNOTATION--------------------------------------------------------------\n",
    "if frz_pt_z >= 50*units.m:                                                             # only plot FRZ PT if its above 50m\n",
    "    plt.text((0.85), (frz_pt_p), \"←FRZ\", weight='bold',color='blue',                   # plot location where T = 0 degC\n",
    "             alpha=0.6, fontsize=15, transform=skew.ax.get_yaxis_transform())\n",
    "    \n",
    "#SFC TEMPERATURE AND DEWPOINT ANNOTATIONS-----------------------------------------------\n",
    "T_degF_label = '{}°F'.format(int(T_degF[0].magnitude))                                 # create sfc T degF label \n",
    "plt.annotate(T_degF_label, (T[0], p[0]), textcoords=\"offset points\", xytext=(16,-15),  # plot sfc T label (degF)\n",
    "                 fontsize=14, color='red', weight='bold', alpha=0.8, ha='center')   \n",
    "Td_degF_label = '{}°F'.format(int(Td_degF[0].magnitude))                               # create sfc Td degF label \n",
    "plt.annotate(Td_degF_label,(Td[0], p[0]),textcoords=\"offset points\",xytext=(-16,-15),  # plot sfc Td label (degF)\n",
    "                 fontsize=14, color='green', weight='bold', alpha=0.8, ha='center') \n",
    "\n",
    "#PBL TOP POINT ANNOTATION---------------------------------------------------------------                   \n",
    "plt.text((0.1), (pbl_top), \"PBL→\", weight='bold',color='gray',                       # plot location of PBL top hght \n",
    "         alpha=0.9, fontsize=15, transform=skew.ax.get_yaxis_transform())\n",
    "\n",
    "# 0-3km & 0-6km CAPE ANNOTATIONS---------------------------------------------------------------------------------- \n",
    "if ml3cape > 10:\n",
    "        cape03_label = \"←{}\".format(mu3cape)                                            \n",
    "        plt.annotate(cape03_label,  ((T_ML03[-1].m +2), interp.pres(prof, 3000+ hgt[0].m)),  textcoords=\"offset points\",  xytext=(10, 0), \n",
    "                     color='red', alpha=0.7, fontsize=15, weight='bold', ha='center')  \n",
    "if ml6cape > 10:\n",
    "        cape06_label = \"←{}\".format(mu6cape)                                            \n",
    "        plt.annotate(cape06_label,((T_ML06[-1].m + 2), interp.pres(prof, 6000+ hgt[0].m)), textcoords=\"offset points\",  xytext=(10, 0), \n",
    "                     color='red', alpha=0.7, fontsize=15, weight='bold', ha='center') \n",
    "\n",
    "#RELATIVE HUMIDITY WITH HEIGHT CALCULATIONS AND ANNOTATIONS-------------------------------------------------------\n",
    "for i in range (0, 5):\n",
    "    heights = [1000, 3000, 6000, 9000, 12000]\n",
    "    try:\n",
    "        intrp_p  = sharppy.sharptab.interp.pres(prof, heights[i])\n",
    "        intrp_T  = sharppy.sharptab.interp.temp(prof, intrp_p)\n",
    "        intrp_Td = sharppy.sharptab.interp.dwpt(prof, intrp_p)\n",
    "        intrp_RH = sharppy.sharptab.thermo.relh(intrp_p, intrp_T, intrp_Td)\n",
    "        RH_label = \"{}%→\".format(int(intrp_RH))\n",
    "        plt.annotate(RH_label, (intrp_Td, intrp_p), textcoords=\"offset points\", xytext=(-40, 0), \n",
    "                 color='green', weight='bold', alpha=0.5, fontsize=14, ha='center') \n",
    "    except:\n",
    "        pass\n",
    "# MAX LAPSE RATE ANNOTATION-------------------------------------------------------------------------------------\n",
    "x_start, x_end = 0.825, 0.835\n",
    "x_mid = (x_start + x_end)/2\n",
    "skew.ax.axhline(LapseMax[1], xmin=x_start, xmax=x_end, color='purple')\n",
    "skew.ax.axhline(LapseMax[2], xmin=x_start, xmax=x_end, color='purple')\n",
    "Lapse_line = plt.Line2D([x_mid, x_mid], (LapseMax[1], LapseMax[2]), color='purple', transform=skew.ax.get_yaxis_transform())\n",
    "plt.text((x_start +0.005), (LapseMax[2]-10), f'{np.round(LapseMax[0],1)}', color='purple', ha='center', weight='bold', fontsize=13, alpha=0.7, transform=skew.ax.get_yaxis_transform())\n",
    "skew.ax.add_artist(Lapse_line)\n",
    "   \n",
    "# EFFECTIVE INFLOW LAYER ANNOTATION-------------------------------------------------------------------------------\n",
    "import matplotlib.transforms as mtransforms\n",
    "x_start, x_end = 0.2, 0.22\n",
    "x_mid = (x_start + x_end)/2\n",
    "skew.ax.axhline(eff_inflow[0], xmin=x_start, xmax=x_end, color='blue')\n",
    "skew.ax.axhline(eff_inflow[1], xmin=x_start, xmax=x_end, color='blue')\n",
    "plt.text((x_start+0.01), (eff_inflow[1]-10), \"EIL\", weight='bold',color='blue', alpha=0.7, ha='center', fontsize=13, transform=skew.ax.get_yaxis_transform())\n",
    "#plt.text((x_start-0.02), (eff_inflow[0]+35), \"ESRH: {}\".format(np.round(effective_srh[0],1)), color='blue', weight='bold', fontsize=13, alpha=0.7, transform=skew.ax.get_yaxis_transform())\n",
    "EIL_line = plt.Line2D([x_mid, x_mid], (eff_inflow[0], eff_inflow[1]), color='blue', transform=skew.ax.get_yaxis_transform())\n",
    "skew.ax.add_artist(EIL_line)\n",
    "    \n",
    "#HAIL GROWTH ZONE ANNOTATION------------------------------------------------------------------------------------\n",
    "plt.annotate(f'HGZ→', (tHGZ[0], hgz[0]*units.hPa), textcoords=\"offset points\", xytext=(-15,0),\n",
    "                 fontsize=10, color='black', weight='bold', alpha=0.8, ha='center')  \n",
    "plt.annotate(f'HGZ→', (tHGZ[-1], hgz[1]*units.hPa), textcoords=\"offset points\", xytext=(-15,0),\n",
    "                 fontsize=10, color='black', weight='bold', alpha=0.8, ha='center')  \n",
    "print('[+] SKEW-T ANNOTATIONS COMPLETE')\n",
    "##############################################################################################################################\n",
    "\n",
    "################################################## HODOGRAPH PLOTTING ########################################################\n",
    "# define x and y min/max values from 'cleaned' and restructured u and v arrays\n",
    "x_min = uINTRP[0:90].min()\n",
    "y_min = vINTRP[0:90].min()\n",
    "x_max = uINTRP[0:90].max()\n",
    "y_max = vINTRP[0:90].max()\n",
    "\n",
    "# if statements to determine approprate x axis and y axis limits (to change dynamically with the data)\n",
    "if y_max >= 0:\n",
    "    y_Maxlimit = (y_max + 15)\n",
    "if y_max < 0:\n",
    "    y_Maxlimit = (y_max + 15)\n",
    "    \n",
    "if x_max >= 0:\n",
    "    x_Maxlimit = (x_max + 15)\n",
    "if x_max < 0:\n",
    "    x_Maxlimit = (x_max + 15)\n",
    "    \n",
    "if y_min >= 0:\n",
    "    y_Minlimit = (y_min - 25)\n",
    "if y_min < 0:\n",
    "    y_Minlimit = (y_min - 25)\n",
    "    \n",
    "if x_min >= 0:\n",
    "    x_Minlimit = (x_min - 25)\n",
    "if x_min < 0:\n",
    "    x_Minlimit = (x_min - 25)\n",
    "\n",
    "# CREATE HODOGRAPH OBJECT --------------------------------------------------------------\n",
    "hod_ax = plt.axes((0.657, 0.2505, 0.70, 0.70))                        # where to position hodo + makes axes\n",
    "\n",
    "h = Hodograph(hod_ax, component_range=150.)                         # creates hodograph object\n",
    "h.ax.set_xlim(x_Minlimit, x_Maxlimit)                               # set x axis bounds\n",
    "h.ax.set_ylim(y_Minlimit, y_Maxlimit)                               # set y axis bounds                                                                          \n",
    "h.add_grid(increment=20, linestyle='-', linewidth=1.5)              # define 1st hodo grid\n",
    "h.add_grid(increment=10, color='black', linewidth=0.5)              # define 2nd hodo grid\n",
    "h.ax.set_facecolor('#ffffff')                                       # hodo background color\n",
    "h.ax.set_box_aspect(1)                                              # set hodo aspect ratio\n",
    "h.ax.set_yticklabels([])                                            # remove y tick labels \n",
    "h.ax.set_xticklabels([])                                            # remove x tick labels\n",
    "h.ax.set_xticks([])                                                 # remove x tick marks\n",
    "h.ax.set_yticks([])                                                 # remove y tick marks\n",
    "h.ax.set_ylabel(' ')                                                # remove y axis label\n",
    "h.ax.set_xlabel(' ')                                                # remove x axis label \n",
    "\n",
    "# HODOGRAPH COLOR MAPS-------------------------------------------------------------------\n",
    "colors=['white','gray','lightgray','darkgray',[0.3,0.3,0.3]]        # Brandt Streamwiseness colormap\n",
    "hodo_color = ['purple','red','darkorange','gold','#fff09f']         # Cameron Nixon height colormap\n",
    "\n",
    "# PLOT DATA ON HODOGRAPH (CAMERON NIXON PLOT STYLE) -------------------------------------\n",
    "h.ax.plot(uINTRP[0:10+1], vINTRP[0:10+1], color=hodo_color[0], linewidth=4.5, clip_on=True)\n",
    "h.ax.plot(uINTRP[10:30+1], vINTRP[10:30+1], color=hodo_color[1], linewidth=4.5, clip_on=True)\n",
    "h.ax.plot(uINTRP[30:60+1], vINTRP[30:60+1], color=hodo_color[2], linewidth=4.5, clip_on=True)\n",
    "h.ax.plot(uINTRP[60:90+1], vINTRP[60:90+1], color=hodo_color[3], linewidth=4.5, clip_on=True)\n",
    "#h.ax.plot(uINTRP[90:120+1], vINTRP[90:120+1], color=hodo_color[4], linewidth=4.5, clip_on=True) \n",
    "\n",
    "# function to convert storm motion to useful degrees \n",
    "def degrees_calc(degrees):\n",
    "    if degrees > 180:\n",
    "        degrees = degrees - 180\n",
    "    elif degrees <= 180:\n",
    "        degrees = degrees + 180\n",
    "    return degrees\n",
    "\n",
    "# BUNKERS ET AL (2000) SUPERCELL MOTION ----------------------------------------------\n",
    "# the actual RM/LM/MW values were calculated in the previous cell \n",
    "#RIGHT MOVER\n",
    "rm_pt = [RM_u.magnitude, RM_v.magnitude]                                          # define RM point\n",
    "x_values = [rm_pt[0], 0]                                                          # define x values for RM vector\n",
    "y_values = [rm_pt[1], 0]                                                          # define y values for RM vector\n",
    "h.ax.plot(x_values, y_values, linestyle='-', \n",
    "          linewidth=0.7, color='blue', label='Bunkers RM Vector')                 # plot RM vector \n",
    "RMdir = mpcalc.wind_direction(RM_u, RM_v).magnitude                               # calc RM wind direction \n",
    "RMspd = mpcalc.wind_speed(RM_u, RM_v).magnitude                                   # calc RM wind speed \n",
    "RM_roseDir = mpcalc.angle_to_direction((degrees_calc(RMdir))*units.degrees,       # correct SM degrees\n",
    "                                       full=False, level=3)\n",
    "# LEFT MOVER\n",
    "LMdir = mpcalc.wind_direction(LM_u, LM_v).magnitude                               # calc LM wind direction\n",
    "LMspd = mpcalc.wind_speed(LM_u, LM_v).magnitude                                   # calc LM wind speed\n",
    "LM_roseDir = mpcalc.angle_to_direction((degrees_calc(LMdir))*units.degrees,       # correct SM degrees\n",
    "                                       full=False, level=3)                       \n",
    "# MEAN WIND\n",
    "meandir = mpcalc.wind_direction(MW_u, MW_v).magnitude                             # calc mean wind direction \n",
    "meanspd = mpcalc.wind_speed(MW_u, MW_v).magnitude                                 # calc mean wind speed\n",
    "MW_roseDir = mpcalc.angle_to_direction((degrees_calc(meandir))*units.degrees,     # correct SM degrees\n",
    "                                       full=False, level=3)\n",
    "# BUNKERS STORM MOTION MARKERS \n",
    "h.ax.text((RM_u.magnitude), (RM_v.magnitude), 'RM', weight='bold', alpha=0.4, fontsize=18)\n",
    "h.ax.text((LM_u.magnitude), (LM_v.magnitude), 'LM', weight='bold', alpha=0.4, fontsize=18)\n",
    "h.ax.text((MW_u.magnitude), (MW_v.magnitude), 'MW', weight='bold', alpha=0.4, fontsize=18)\n",
    "\n",
    "# THOMPSON ET AL (2007) EFFECTIVE INFLOW LAYER ----------------------------------------------\n",
    "# the actual EIL data values were calculated in the previous cell \n",
    "ebot_componets = sharppy.sharptab.interp.components(prof, sharppy.sharptab.interp.pres(prof, ebot_hght)) # calc wind @ EIL bottom\n",
    "etop_componets = sharppy.sharptab.interp.components(prof, sharppy.sharptab.interp.pres(prof, etop_hght)) # calc wind @ EIL top\n",
    "etop_pt = [etop_componets[0], etop_componets[1]]                    # define EIL top pt \n",
    "ebot_pt = [ebot_componets[0], ebot_componets[1]]                    # define EIL bottom pt\n",
    "ebotu_values = [rm_pt[0], ebot_pt[0]]                               # define EIL bottom u & RM u pt\n",
    "ebotv_values = [rm_pt[1], ebot_pt[1]]                               # define EIL bottom v & RM v pt\n",
    "etopu_values = [rm_pt[0], etop_pt[0]]                               # define EIL top u & RM u pt\n",
    "etopv_values = [rm_pt[1], etop_pt[1]]                               # define EIL top v & RM v pt\n",
    "try:\n",
    "    h.ax.plot(ebotu_values, ebotv_values,  linestyle='-', linewidth=0.7, color='lightblue', \n",
    "              label='Effective Inflow Layer') # plot EIL Bottom line\n",
    "    h.ax.plot(etopu_values, etopv_values,  linestyle='-', linewidth=0.7, color='lightblue')                                 # plot EIL Top Line\n",
    "except:\n",
    "    pass\n",
    "\n",
    "# CALCULATE NIXON AND ALLEN (2021) DEVIANT TORNADO MOTION---------------------------------------------------------------\n",
    "#SHARPPY MEAN WIND FROM 0-300m\n",
    "p300m = interp.pres(prof, interp.to_msl(prof, 300.))                          # intrp pressure @ 300m\n",
    "sfc = prof.pres[prof.sfc]                                                     # intrp pressure @ sfc\n",
    "MW_300m_u, MW_300m_v = winds.mean_wind(prof, pbot=sfc, ptop=p300m)*units.kts  # calc sfc-300m mean wind\n",
    "spd300m = mpcalc.wind_speed(MW_300m_u, MW_300m_v)                             # calc sfc-300m mean wind speed\n",
    "dir300m = mpcalc.wind_direction(MW_300m_u, MW_300m_v, convention='from')      # calc sfc-300m mean wind direction\n",
    "#DTM CALC\n",
    "DTM_u = (RM_u+MW_300m_u)/2                                                    # calc DTM u \n",
    "DTM_v = (RM_v+MW_300m_v)/2                                                    # calc DTM v\n",
    "DTM_dir = mpcalc.wind_direction(DTM_u, DTM_v, convention='from')              # calc DTM motion direction \n",
    "DTM_spd = mpcalc.wind_speed(DTM_u, DTM_v)                                     # calc DTM motion speed\n",
    "DTM_roseDir = mpcalc.angle_to_direction((degrees_calc(DTM_dir.m))             # calc DTM rose direction \n",
    "                                        *units.degrees, full=False, level=3)\n",
    "h.ax.text((DTM_u.magnitude), (DTM_v.magnitude + 1.4), 'DTM', weight='bold',   # plot DTM \n",
    "          fontsize=13, color='brown', ha='center', alpha=0.4) \n",
    "h.plot(DTM_u, DTM_v, marker='v', color='brown', markersize=10, alpha=0.4)                # plot DTM marker\n",
    "\n",
    "# CORFIDE ET AL (1996) MSC MOTIONS -----------------------------------------------------------------------------------\n",
    "mcs_motion = winds.corfidi_mcs_motion(convect_prof)                                                       # calc MCS motion\n",
    "USMCS_dir = mpcalc.wind_direction(mcs_motion[0]*units.kts, mcs_motion[1]*units.kts, convention='from')    # calc US MCS dir\n",
    "USMCS_spd = mpcalc.wind_speed(mcs_motion[0]*units.kts, mcs_motion[1]*units.kts)                           # calc US MCS spd\n",
    "DSMCS_dir = mpcalc.wind_direction(mcs_motion[2]*units.kts, mcs_motion[3]*units.kts, convention='from')    # calc DS MCS dir\n",
    "DSMCS_spd = mpcalc.wind_speed(mcs_motion[2]*units.kts, mcs_motion[3]*units.kts)                           # calc DS MCS spd\n",
    "DSMCS_roseDir = mpcalc.angle_to_direction((degrees_calc(DSMCS_dir.m))*units.degrees, full=False, level=3) # calc DS MCS rose dir\n",
    "USMCS_roseDir = mpcalc.angle_to_direction((degrees_calc(USMCS_dir.m))*units.degrees, full=False, level=3) # calc US MCS rose dir\n",
    "if mcs_motion[0] < x_Maxlimit:                                                                            # plot US MCS\n",
    "    h.ax.text(mcs_motion[0], (mcs_motion[1]), 'UP', weight='bold', fontsize=13, color='orange', ha='center', alpha=0.4)\n",
    "if mcs_motion[2] < x_Maxlimit:                                                                            # plot DS MCS\n",
    "    if mcs_motion[3] < y_Maxlimit:\n",
    "        if mcs_motion[3] > y_Minlimit + 5:\n",
    "            h.ax.text(mcs_motion[2], (mcs_motion[3]), 'DN', weight='bold', fontsize=13, color='orange', ha='center', alpha=0.4)\n",
    "            \n",
    "# HEIGHT MARKERS ------------------------------------------------------------------------------------------------------\n",
    "plt.xticks(np.arange(0,0,1))\n",
    "plt.yticks(np.arange(0,0,1))\n",
    "for i in range(10,120,10):\n",
    "    h.ax.annotate(str(i),(i,0),xytext=(0,2),textcoords='offset pixels',clip_on=True,fontsize=13,weight='bold',alpha=0.6,zorder=0)\n",
    "for i in range(10,120,10):\n",
    "    h.ax.annotate(str(i),(0,i),xytext=(0,2),textcoords='offset pixels',clip_on=True,fontsize=13,weight='bold',alpha=0.6,zorder=0)\n",
    "    \n",
    "h.plot(uINTRP[5],vINTRP[5], color='black',marker='o',markersize=8,clip_on=True)\n",
    "h.ax.annotate(str('.5'),(uINTRP[5], vINTRP[5]),xytext=(0,7), fontsize= 20, textcoords='offset pixels',horizontalalignment='center',clip_on=True)\n",
    "for i in (10,30,60,90):\n",
    "    h.plot(uINTRP[i],vINTRP[i],color='black',marker='o',markersize=8,clip_on=True)\n",
    "for i in (10,30,60,90):\n",
    "    h.ax.annotate(str(int(round(zINTRP[i]/1000,0))),(uINTRP[i],vINTRP[i]),xytext=(0,7), fontsize= 20, textcoords='offset pixels',horizontalalignment='center',clip_on=True) \n",
    "    \n",
    "    \n",
    "    \n",
    "print('[+] HODOGRAPH CREATION & PLOTTING COMPLETE')\n",
    "##################################################################################################################################\n",
    "\n",
    "################################################## FIGURE EXTRAS ############################################################\n",
    "# LEGENDS\n",
    "skewleg1 = skew.ax.legend(loc='upper left')\n",
    "# OTHER TITLES \n",
    "plt.figtext( 0.104, -0.09, f'{station} | [{lat[0]}, {lon[0]}]  |  VALID: {utc_month}/{utc_day}/{utc_year} {utc_hour}Z' , fontsize=17)\n",
    "plt.figtext( 1.223, -0.09, f'PLOTTED BY {str.upper(your_name)}  |  SCRIPT BY KYLE GILLET VIA GITHUB  ', fontsize=15, color='blue', weight='bold', alpha=0.5, ha='right')\n",
    "# TEXT BOXES \n",
    "textboxstyle = dict(boxstyle='square', facecolor='white', alpha=0.7)\n",
    "hodotextbosstyle = dict(boxstyle='square', facecolor='white', alpha=0.7)\n",
    "specialtextboxstyle = dict(boxstyle='square', facecolor='#FFFFF0', alpha=0.7, edgecolor='black')\n",
    "#############################################################################################################################\n",
    "\n",
    "#################################################### PLOT DATA VALUES ########################################################\n",
    "# PLOT THERMO VALUES ----------------------------------------------------------------------------------------------\n",
    "thermo_txt = '\\n'.join((\n",
    "    f'        ',\n",
    "    f'        ',\n",
    "    f'        ',\n",
    "    f'        ',\n",
    "    f'                                                                                              '))\n",
    "\n",
    "plt.figtext(0.273, 0.08, thermo_txt, \n",
    "    fontsize=16.5, fontweight='bold',\n",
    "    verticalalignment='top', linespacing=2.2, bbox=textboxstyle, ha='center')\n",
    "\n",
    "plt.figtext( 0.143, 0.06, 'CAPE          CIN       NCAPE      LCL        LFC           EL ', weight='bold', fontsize=15)\n",
    "#SBCAPE\n",
    "plt.figtext( 0.115, 0.03, f'SB:', weight='bold', fontsize=15, color='black', ha = 'center')\n",
    "plt.figtext( 0.157, 0.03, f'{int(sbcape)} J/kg', weight='bold', fontsize=15, color='orangered', ha = 'center')\n",
    "plt.figtext( 0.215, 0.03, f'{int(sbcin)} J/kg', weight='bold', fontsize=15, color='orangered', ha = 'center')\n",
    "plt.figtext( 0.263, 0.03, f'{sb_ncape}', weight='bold', fontsize=15, color='orangered', ha = 'center')\n",
    "plt.figtext( 0.307, 0.03, f'{sb_lcl_hgt:~P}', weight='bold', fontsize=15, color='orangered', ha = 'center')\n",
    "plt.figtext( 0.354, 0.03, f'{sb_lfc_hgt:~P}', weight='bold', fontsize=15, color='orangered', ha = 'center')\n",
    "plt.figtext( 0.406, 0.03, f'{sb_el_hgt:~P}', weight='bold', fontsize=15, color='orangered', ha = 'center')\n",
    "#MLCAPE\n",
    "try:\n",
    "    plt.figtext( 0.115, -0.00, f'ML:', weight='bold', fontsize=15, color='black', ha = 'center')\n",
    "    plt.figtext( 0.157, -0.00, f'{int(mlcape)} J/kg', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "    plt.figtext( 0.215, -0.00, f'{int(mlcin)} J/kg', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "    plt.figtext( 0.263, 0.00, f'{ml_ncape}', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "    plt.figtext( 0.307, 0.00, f'{ml_lcl_hgt:~P}', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "    plt.figtext( 0.354, 0.00, f'{ml_lfc_hgt:~P}', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "    plt.figtext( 0.406, 0.00, f'{ml_el_hgt:~P}', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "except NameError:\n",
    "    plt.figtext( 0.108, -0.00, f'ML:', weight='bold', fontsize=15, color='black', ha = 'center')\n",
    "    plt.figtext( 0.14, -0.00, f'-9999 J/kg', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "    plt.figtext( 0.205, -0.00, f'-9999 J/kg', weight='bold', fontsize=15, color='red', ha = 'center')\n",
    "    pass\n",
    "#MUCAPE\n",
    "plt.figtext( 0.115, -0.03, f'MU:', weight='bold', fontsize=15, color='black', ha='center')\n",
    "plt.figtext( 0.157, -0.03, f'{int(mucape)} J/kg', weight='bold', fontsize=15, color='darkred', ha='center')\n",
    "plt.figtext( 0.215, -0.03, f'{int(mucin)} J/kg', weight='bold', fontsize=15, color='darkred', ha='center')\n",
    "plt.figtext( 0.263, -0.03, f'{mu_ncape}', weight='bold', fontsize=15, color='darkred', ha='center')\n",
    "plt.figtext( 0.307, -0.03, f'{mu_lcl_hgt:~P}', weight='bold', fontsize=15, color='darkred', ha='center')\n",
    "plt.figtext( 0.354, -0.03, f'{mu_lfc_hgt:~P}', weight='bold', fontsize=15, color='darkred', ha='center')\n",
    "plt.figtext( 0.406, -0.03, f'{mu_el_hgt:~P}', weight='bold', fontsize=15, color='darkred', ha='center')\n",
    "#0-3km LR\n",
    "plt.figtext( 0.12, -0.06, f'Γ₀₋₃:', weight='bold', fontsize=16, color='black')\n",
    "plt.figtext( 0.155, -0.06, f'{np.round(lr_0_3km, 1)} Δ°C/km', weight='bold', fontsize=15, color='sienna')\n",
    "#3-6km LR\n",
    "plt.figtext( 0.23, -0.06, f'Γ₃₋₆:', weight='bold', fontsize=16, color='black')\n",
    "plt.figtext( 0.26, -0.06, f'{np.round(lr_3_6km,1)} Δ°C/km', weight='bold', fontsize=15, color='saddlebrown')\n",
    "#max LR\n",
    "plt.figtext( 0.34, -0.06, f'Γₘₐₓ:', weight='bold', fontsize=16, color='black')\n",
    "plt.figtext( 0.375, -0.06, f'{np.round(LapseMax[0],1)} Δ°C/km', weight='bold', fontsize=15, color='saddlebrown')\n",
    "\n",
    "\n",
    "# PLOT MOISTURE VALUES ============================================================================================\n",
    "moisture_txt = '\\n'.join((\n",
    "    f'        ', \n",
    "    f'        ',\n",
    "    f'        ',\n",
    "    f'        ',\n",
    "    f'                                             '))\n",
    "plt.figtext(0.44886, 0.08, moisture_txt, \n",
    "    fontsize=16.5, fontweight='bold',\n",
    "    verticalalignment='top', linespacing=2.2, bbox=textboxstyle, ha='left')\n",
    "plt.figtext( 0.465, 0.06, '      SFC & MEAN RH ', weight='bold', fontsize=15)\n",
    "plt.figtext( 0.454, 0.03, f'SFC:', weight='bold', fontsize=15, color='black')\n",
    "plt.figtext( 0.494, 0.03, f'{int(RH[0])}%', weight='bold', fontsize=15, color='forestgreen', alpha=0.6)\n",
    "plt.figtext( 0.54, 0.03, f'0-.5ₖₘ:', weight='bold', fontsize=15, color='black')\n",
    "plt.figtext( 0.542, 0.052, f'___', weight='bold', fontsize=15, color='black' , alpha=0.6)\n",
    "plt.figtext( 0.584, 0.03, f'{int(RH0_05)}%', weight='bold', fontsize=15, color='forestgreen', alpha=0.6)\n",
    "plt.figtext( 0.454, -0.00, f'0-1ₖₘ:', weight='bold', fontsize=15, color='black')\n",
    "plt.figtext( 0.466, 0.022, f'___', weight='bold', fontsize=15, color='black' , alpha=0.7)\n",
    "plt.figtext( 0.494, -0.00, f'{int(RH0_1)}%', weight='bold', fontsize=15, color='forestgreen', alpha=0.7)\n",
    "plt.figtext( 0.54, -0.00, f'1-3ₖₘ:', weight='bold', fontsize=15, color='black')\n",
    "plt.figtext( 0.542, 0.022, f'___', weight='bold', fontsize=15, color='black' , alpha=0.8)\n",
    "plt.figtext( 0.584, -0.00, f'{int(RH1_3)}%', weight='bold', fontsize=15, color='forestgreen', alpha=0.8)\n",
    "plt.figtext( 0.454, -0.03, f'3-6ₖₘ:', weight='bold', fontsize=15, color='black')\n",
    "plt.figtext( 0.466, -0.008, f'___', weight='bold', fontsize=15, color='black' , alpha=0.9)\n",
    "plt.figtext( 0.494, -0.03, f'{int(RH3_6)}%', weight='bold', fontsize=15, color='forestgreen', alpha=0.9)\n",
    "plt.figtext( 0.54, -0.03, f'6-9ₖₘ:', weight='bold', fontsize=15, color='black' )\n",
    "plt.figtext( 0.542, -0.008, f'___', weight='bold', fontsize=15, color='black' )\n",
    "plt.figtext( 0.584, -0.03, f'{int(RH6_9)}%', weight='bold', fontsize=15, color='forestgreen')\n",
    "\n",
    "plt.figtext( 0.495, -0.06, f'PWAT:', weight='bold', fontsize=15, color='black')\n",
    "plt.figtext( 0.55, -0.06, f'{pwat.m}\"', weight='bold', fontsize=15, color='darkgreen', ha='center')\n",
    "\n",
    "\n",
    "# PLOT SHEAR VALUES ===================================================================================================\n",
    "shear_txt = '\\n'.join((\n",
    "    f'        ', \n",
    "    f'        ',\n",
    "    f'        ',\n",
    "    f'        ',\n",
    "    f'                                                  '))\n",
    "plt.figtext(0.6173, 0.08, shear_txt, \n",
    "    fontsize=16.5, fontweight='bold',\n",
    "    verticalalignment='top', linespacing=2.2, bbox=textboxstyle, ha='left')\n",
    "met_per_sec = (units.m*units.m)/(units.sec*units.sec)\n",
    "plt.figtext( 0.66, 0.06, '  BS       SRH         SRW', weight='bold', fontsize=15, alpha=0.9)\n",
    "plt.figtext( 0.62, 0.03, f'0-.5ₖₘ:', weight='bold', fontsize=15, color='black', alpha=0.9)\n",
    "plt.figtext( 0.666, 0.03, f'{int(shear005.m)} kt', weight='bold', fontsize=15, color='deepskyblue')\n",
    "plt.figtext( 0.70, 0.03, f'{int(srh_005.m)* met_per_sec:~P}', weight='bold', fontsize=15, color='deepskyblue')\n",
    "plt.figtext( 0.756, 0.03, f'{int(sfc500m_SRwind.m)*units.kts:~P}', weight='bold', fontsize=15, color='deepskyblue')\n",
    "\n",
    "plt.figtext( 0.62, 0.00, f'0-1ₖₘ:', weight='bold', fontsize=15, color='black', alpha=0.9)\n",
    "plt.figtext( 0.666, 0.00, f'{int(shear01.m)} kt', weight='bold', fontsize=15, color='mediumslateblue')\n",
    "plt.figtext( 0.70, 0.00, f'{int(srh_01.m)* met_per_sec:~P}', weight='bold', fontsize=15, color='mediumslateblue')\n",
    "plt.figtext( 0.756, 0.00, f'{int(sfc1000m_SRwind.m)*units.kts:~P}', weight='bold', fontsize=15, color='mediumslateblue')\n",
    "\n",
    "plt.figtext( 0.62, -0.03, f'0-3ₖₘ:', weight='bold', fontsize=15, color='black', alpha=0.9)\n",
    "plt.figtext( 0.666, -0.03, f'{int(shear03.m)} kt', weight='bold', fontsize=15, color='slateblue')\n",
    "plt.figtext( 0.70, -0.03, f'{int(srh_03.m)* met_per_sec:~P}', weight='bold', fontsize=15, color='slateblue')\n",
    "plt.figtext( 0.756, -0.03, f'{int(sfc3000m_SRwind.m)*units.kts:~P}', weight='bold', fontsize=15, color='slateblue')\n",
    "\n",
    "plt.figtext( 0.62, -0.06, f'0-6ₖₘ:', weight='bold', fontsize=15, color='black', alpha=0.9)\n",
    "plt.figtext( 0.666, -0.06, f'{int(shear06.m)} kt', weight='bold', fontsize=15, color='darkslateblue')\n",
    "plt.figtext( 0.70, -0.06, f'{int(srh_06.m)* met_per_sec:~P}', weight='bold', fontsize=15, color='darkslateblue')\n",
    "plt.figtext( 0.756, -0.06, f'{int(sfc6000m_SRwind.m)*units.kts:~P}', weight='bold', fontsize=15, color='darkslateblue')\n",
    "\n",
    "hodoprops = dict(boxstyle='square', facecolor='white', alpha=0.7)\n",
    "plt.figtext(0.803, 0.9455, f' RM: {RM_roseDir} @ {int(np.round(RMspd, 0))} kts\\n LM: {LM_roseDir} @ {int(np.round(LMspd, 0))} kts\\n MW: {MW_roseDir} @ {int(np.round(meanspd, 0))} kts', color='black', weight='bold', fontsize=15, verticalalignment='top', linespacing=2.2, bbox=hodoprops, ha='left', alpha=0.8)\n",
    "plt.figtext(1.2105, 0.9455, f' DTM: {DTM_roseDir} @ {int(np.round(DTM_spd.m, 0))} kts\\n US-MCS: {USMCS_roseDir} @ {int(np.round(USMCS_spd.m, 0))} kts\\n DS-MCS: {DSMCS_roseDir} @ {int(np.round(DSMCS_spd.m, 0))} kts', color='black', weight='bold', fontsize=15, verticalalignment='top', linespacing=2.2, bbox=hodoprops, ha='right', alpha=0.8)\n",
    "\n",
    "vort_txt = '\\n'.join((\n",
    "    f'        ', \n",
    "    f'        ',\n",
    "    f'                       '))\n",
    "plt.figtext(1.1273, 0.335, vort_txt, \n",
    "    fontsize=16.5, fontweight='bold',\n",
    "    verticalalignment='top', linespacing=2.2, bbox=textboxstyle, ha='left')\n",
    "plt.figtext( 1.1285, 0.326, '         SW%  VORT', weight='bold', fontsize=13, alpha=0.9)\n",
    "plt.figtext( 1.1285, 0.31, f'0-.5ₖₘ:', weight='bold', fontsize=12, color='black', alpha=0.9)\n",
    "plt.figtext( 1.1285, 0.285, f'0-1ₖₘ:', weight='bold', fontsize=12, color='black', alpha=0.9)\n",
    "plt.figtext( 1.1285, 0.26, f'0-3ₖₘ:', weight='bold', fontsize=12, color='black', alpha=0.9)\n",
    "\n",
    "plt.figtext( 1.16, 0.31, f'{int(strmwperc_05)}', weight='bold', fontsize=14, color='orangered', alpha=0.9)\n",
    "plt.figtext( 1.16, 0.285,f'{int(strmwperc_01)}', weight='bold', fontsize=14, color='red', alpha=0.9)\n",
    "plt.figtext( 1.16, 0.26, f'{int(strmwperc_03)}', weight='bold', fontsize=14, color='darkred', alpha=0.9)\n",
    "\n",
    "plt.figtext( 1.182, 0.31, f'{np.round(strmw_05, 2).m}', weight='bold', fontsize=14, color='orangered', alpha=0.9)\n",
    "plt.figtext( 1.182, 0.285,f'{np.round(strmw_01, 2).m}', weight='bold', fontsize=14, color='red', alpha=0.9)\n",
    "plt.figtext( 1.182, 0.26, f'{np.round(strmw_03, 2).m}', weight='bold', fontsize=14, color='darkred', alpha=0.9)\n",
    "\n",
    "########################################### STREAMWISENESS W/HEIGHT #######################################################\n",
    "# PLOT AXIS/LOC\n",
    "strmws_ax = plt.axes((0.80, -0.067, 0.0537, 0.3175), zorder=5) #(0.802, -0.067, 0.0537, 0.3175)\n",
    "plt.figtext(0.826, 0.24, f'SWζ RH(%)', weight='bold', zorder=6, fontsize=10, verticalalignment='top', linespacing=2.2, bbox=hodoprops, ha='center', alpha=0.8)\n",
    "\n",
    "#YTICKS\n",
    "strmws_ax.set_ylim(zINTRP[0], 3000)\n",
    "strmws_ax.set_yticklabels([])\n",
    "strmws_ax.set_ylabel(' ')\n",
    "strmws_ax.tick_params(axis='y', length = 0)\n",
    "strmws_ax.grid(True, axis='y')\n",
    "\n",
    "#XTICKS\n",
    "strmws_ax.set_xlim(40, 102)\n",
    "strmws_ax.tick_params(axis=\"x\",direction=\"in\", pad=-12)\n",
    "strmws_ax.set_xticks([50, 90])\n",
    "strmws_ax.set_xticklabels([50, 90], weight='bold', alpha=0.5, fontstyle='italic')\n",
    "strmws_ax.set_xlabel(' ')\n",
    "\n",
    "#HGT LABLES \n",
    "strmws_ax.text(42, 502 , '0.5km', fontsize=8, alpha=0.9)\n",
    "strmws_ax.text(42, 1002, '1.0km', fontsize=8, alpha=0.9)\n",
    "strmws_ax.text(42, 1502, '1.5km', fontsize=8, alpha=0.9)\n",
    "strmws_ax.text(42, 2002, '2.0km', fontsize=8, alpha=0.9)\n",
    "strmws_ax.text(42, 2502, '2.5km', fontsize=8, alpha=0.9)\n",
    "strmws_ax.text(45, sb_lcl_hgt, '-SBLCL-', fontsize=10, alpha=0.8)\n",
    "strmws_ax.text(45, mu_lfc_hgt, '-MULFC-', fontsize=10, alpha=0.8)\n",
    "\n",
    "plt.plot(strmwperc[0:10], zINTRP[0:10], color=hodo_color[0], linewidth=3.5,clip_on=True)\n",
    "plt.plot(strmwperc[9:30], zINTRP[9:30], color=hodo_color[1], linewidth=3.5,clip_on=True)\n",
    "plt.plot(RH.m, hgt, color='brown', alpha=0.3, linewidth=3.5, clip_on=True)\n",
    "\n",
    "print('[+] SW ζ & RH (%) PLOTTING COMPLETE')\n",
    "#################################################### VORT VS HEIGHT ########################################################\n",
    "# VORT GRAPH -------------------------------------------------------------------------------\n",
    "vort_ax = plt.axes((0.854, -0.067, 0.0537, 0.3175))\n",
    "plt.figtext(0.8825, 0.24, f'VORTICITY', weight='bold', fontsize=10, verticalalignment='top', linespacing=2.2, bbox=hodoprops, ha='center', alpha=0.8)\n",
    "\n",
    "#YTICKS\n",
    "vort_ax.tick_params(axis='y', length = 0)\n",
    "vort_ax.grid(True, axis='y')\n",
    "vort_ax.set_ylim(zINTRP[0], 3000)\n",
    "vort_ax.set_yticklabels([])\n",
    "vort_ax.set_ylabel(' ')\n",
    "\n",
    "#XTICKS\n",
    "vort_ax.set_xlabel(' ')\n",
    "vort_speed = mpcalc.wind_speed(uvort*units('m/s'), vvort*units('m/s'))\n",
    "vort_max = vort_speed[0:30].max()+0.005*units('m/s')\n",
    "vort_min = vort_speed[0:30].min()-0.005*units('m/s')\n",
    "vort_ax.set_xlim(vort_min-0.002*units('m/s'), vort_max+0.002*units('m/s'))\n",
    "vort_ax.tick_params(axis=\"x\",direction=\"in\", pad=-12)\n",
    "vort_ax.set_xticks([(vort_min.m+0.005),(vort_max.m-0.005)])\n",
    "vort_ax.set_xticklabels([(np.round(vort_min.m+0.002,2)),(np.round(vort_max.m-0.002,2))], weight='bold', alpha=0.5, fontstyle='italic')\n",
    "\n",
    "vort_ax.plot(strmw[0:30]*units('m/s'), zINTRP[0:30], color='orange', linewidth=3, alpha=0.8, label='SW ζ')\n",
    "vort_ax.plot(vort_speed[0:30], zINTRP[0:30], color='black', linewidth=4, alpha=0.4, label='Total ζ')\n",
    "\n",
    "print('[+] VORTICITY PLOTTING COMPLETE')\n",
    "\n",
    "########################################### THETA E W/HEIGHT #######################################################\n",
    "#PLOT AXES/LOC\n",
    "theta_ax = plt.axes((0.9085, -0.067, 0.0537, 0.3175))\n",
    "plt.figtext(0.938, 0.24, f'THETAE', weight='bold', fontsize=10, verticalalignment='top', linespacing=2.2, bbox=hodoprops, ha='center', alpha=0.8)\n",
    "\n",
    "#THETA CALC\n",
    "theta_p, theta_e_theta, theta_theta, theta_hgt = mpcalc.get_layer(p, theta_e, theta, z_AGL, depth=3*units.km)\n",
    "maxtheta = theta_theta.max()\n",
    "mintheta = theta_theta.min()\n",
    "\n",
    "#YTICKS\n",
    "theta_ax.set_ylim(zINTRP[0], 3000)\n",
    "theta_ax.set_yticklabels([])\n",
    "plt.ylabel(' ')\n",
    "theta_ax.tick_params(axis='y', length = 0)\n",
    "theta_ax.grid(True, axis='y')\n",
    "\n",
    "#XTICKS\n",
    "theta_ax.set_xlim(mintheta - 5*units.K, maxtheta + 5*units.K)\n",
    "theta_ax.set_xticks([(mintheta), (maxtheta)])\n",
    "theta_ax.set_xticklabels([int(mintheta.m), int(maxtheta.m)], weight='bold', alpha=0.5, fontstyle='italic')\n",
    "\n",
    "theta_ax.tick_params(axis=\"x\", direction=\"in\", pad=-12)\n",
    "theta_ax.set_xlabel(' ')\n",
    "\n",
    "#PLOT THETA VS HGT\n",
    "plt.plot(theta_theta, theta_hgt, color='purple', linewidth=3.5, alpha=0.5, clip_on=True)\n",
    "plt.plot(theta_e_theta, theta_hgt, color='purple', linewidth=3.5, alpha=0.8, clip_on=True)\n",
    "\n",
    "print('[+] THETA PLOTTING COMPLETE')\n",
    "\n",
    "############################################## SOUNDING LOCATION MAP INSET ######################################################### \n",
    "from metpy.plots import USCOUNTIES\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "# CREATE SMALL GRIDDED AREA\n",
    "north_lat = lat[0] + .5\n",
    "south_lat = lat[0] - .5\n",
    "west_lon = lon[0] - .5\n",
    "east_lon = lon[0] + .5\n",
    "\n",
    "# create axis for map\n",
    "proj = ccrs.Mercator(central_longitude=lat[0], min_latitude=south_lat-5, max_latitude=north_lat+5)\n",
    "ax3 = plt.axes((0.7635, -0.067, 0.65, 0.318), projection=proj) \n",
    "# LEVEL 2 ZOOM------------------------\n",
    "\n",
    "if plot_TorTracks == True:\n",
    "     ax3.set_extent([west_lon -0.5, east_lon +0.5, south_lat -0.5, north_lat +0.5], ccrs.Geodetic())\n",
    "elif plot_TorReports == True or plot_WindReports == True or plot_HailReports == True:\n",
    "    ax3.set_extent([west_lon -2, east_lon +2, south_lat -2, north_lat +2], ccrs.Geodetic())\n",
    "else:\n",
    "    ax3.set_extent([west_lon -4, east_lon +4, south_lat -4, north_lat +4], ccrs.Geodetic())\n",
    "\n",
    "# create / add map features \n",
    "ax3.add_feature(cfeature.LAKES.with_scale('10m'), color='gray', alpha=0.5, linewidth=0.5, zorder=2)\n",
    "ax3.add_feature(cfeature.RIVERS.with_scale('10m'), alpha=0.4, linewidth=0.7, color='blue')\n",
    "ax3.add_feature(cfeature.OCEAN.with_scale('10m'), color='gray', alpha=0.5, zorder=2)\n",
    "ax3.add_feature(USCOUNTIES.with_scale('500k'), alpha=0.2, edgecolor='gray', zorder=0)\n",
    "ax3.add_feature(cfeature.STATES.with_scale('10m'), edgecolor='black', alpha=0.5, linewidth=3, zorder=3)\n",
    "ax3.set_box_aspect(0.751) \n",
    "\n",
    "# GRAB STORM REPORTS  \n",
    "if plot_WindReports == True: #WIND REPORTS\n",
    "    try:\n",
    "        wind_reports = pd.read_csv(f'https://www.spc.noaa.gov/climo/reports/{local_year[2:4]}{local_month}{local_day}_rpts_wind.csv',error_bad_lines=False, sep=\",\")\n",
    "        ax3.scatter(wind_reports['Lon'], wind_reports['Lat'], s=80, transform=ccrs.PlateCarree(), label='WIND')\n",
    "        print('[+] SPC WIND REPORT PLOTTING SUCESSFUL')\n",
    "    except:\n",
    "        print('[!] SPC WIND REPORT PLOTTING FAILED')\n",
    "        pass    \n",
    "if plot_HailReports == True: # HAIL REPORTS\n",
    "    try:\n",
    "        hail_reports = pd.read_csv(f'https://www.spc.noaa.gov/climo/reports/{local_year[2:4]}{local_month}{local_day}_rpts_hail.csv',error_bad_lines=False, sep=\",\")\n",
    "        ax3.scatter(hail_reports['Lon'], hail_reports['Lat'], color='green', s=80, marker='h', transform=ccrs.PlateCarree(), label='HAIL')\n",
    "        print('[+] SPC HAIL REPORT PLOTTING SUCESSFUL')\n",
    "    except:\n",
    "        print('[!] SPC HAIL REPORT PLOTTING FAILED')\n",
    "        pass       \n",
    "if plot_TorReports == True: # TORN REPORTS \n",
    "    try:\n",
    "        tor_reports = pd.read_csv(f'https://www.spc.noaa.gov/climo/reports/{local_year[2:4]}{local_month}{local_day}_rpts_torn.csv',error_bad_lines=False, sep=\",\")\n",
    "        ax3.scatter(tor_reports['Lon'], tor_reports['Lat'], color='firebrick', marker='v', s=140, transform=ccrs.PlateCarree(), label='TORN')\n",
    "        print('[+] SPC TORN REPORT PLOTTING SUCESSFUL')\n",
    "    except:\n",
    "        print('[!] SPC TORN REPORT PLOTTING FAILED')\n",
    "        pass    \n",
    "    \n",
    "if plot_TorTracks == True:\n",
    "    try:\n",
    "        # GRAB TORNADO TRACKS \n",
    "        tracks_df = pd.read_csv(\"https://www.spc.noaa.gov/wcm/data/1950-2021_actual_tornadoes.csv\")\n",
    "        date_to_search = str(f'{local_year}-{local_month}-{local_day}')       \n",
    "        track_data = tracks_df[tracks_df['date']==date_to_search]          # gets all rows with this fruit\n",
    "        columns = track_data['date'].values[0]                             # gets value in relevant column\n",
    "        ax3.plot([track_data['slon'], track_data['elon']], [track_data['slat'], track_data['elat']],\n",
    "                  color='firebrick', linewidth=3, transform=ccrs.PlateCarree())\n",
    "        print('[+] SPC TORN TRACK PLOTTING SUCESSFUL')\n",
    "    except:\n",
    "        print('[!] SPC TORNADO TRACK DATA DID NOT PLOT')\n",
    "        pass\n",
    "\n",
    "# plot sounding marker\n",
    "ax3.plot(lon[0], lat[0], marker='o', color='black', markersize='20', transform=ccrs.PlateCarree())\n",
    "ax3.plot(lon[0], lat[0], marker='P', fillstyle='full', color='white', markersize='12', transform=ccrs.PlateCarree())\n",
    "ax3.legend(loc='upper left')\n",
    "plt.figtext( 1.09, -0.045, f'{str.upper(stations[station][0])}, {stations[station][1]}', color='black', weight='bold', fontsize=15, verticalalignment='top', linespacing=2.2, bbox=hodoprops, ha='center', alpha=0.8)\n",
    "\n",
    "print('_______________________________________')\n",
    "print('The sounding is now loading. This may take a second, especially if you plotted reports and/or tornado tracks.')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2317199c-bda6-49af-bfc3-53bb71d4e79f",
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   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "id": "6b7382b1-5352-4011-b610-e4bddc705157",
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   "outputs": [],
   "source": []
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  {
   "cell_type": "code",
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   "id": "f947388c-ddc5-41ad-b8ec-8245de6a27de",
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   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "id": "54bb75f1-ae57-4beb-bd8b-4b3f3e742263",
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