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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The EDEX modelsounding plugin creates 64-level vertical profiles from GFS and ETA (NAM) BUFR products distirubted over NOAAport. Paramters which are requestable are **pressure**, **temperature**, **specHum**, **uComp**, **vComp**, **omega**, **cldCvr**."
]
},
{
"cell_type": "code",
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"execution_count": 1,
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"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"from awips.dataaccess import DataAccessLayer\n",
"import matplotlib.tri as mtri\n",
"import matplotlib.pyplot as plt\n",
"from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
"from math import exp, log\n",
"import numpy as np\n",
"from metpy.calc import get_wind_components, lcl, dry_lapse, parcel_profile, dewpoint\n",
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"from metpy.calc import wind_speed, wind_direction, thermo, vapor_pressure\n",
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"from metpy.plots import SkewT, Hodograph\n",
"from metpy.units import units, concatenate\n",
"\n",
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"DataAccessLayer.changeEDEXHost(\"edex-cloud.unidata.ucar.edu\")\n",
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"request = DataAccessLayer.newDataRequest()\n",
"request.setDatatype(\"modelsounding\")\n",
"forecastModel = \"GFS\"\n",
"request.addIdentifier(\"reportType\", forecastModel)\n",
"request.setParameters(\"pressure\",\"temperature\",\"specHum\",\"uComp\",\"vComp\",\"omega\",\"cldCvr\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Available Locations"
]
},
{
"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
"outputs": [
{
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" b'KMPV',\n",
" b'KMQT',\n",
" b'KMRB',\n",
" b'KMRY',\n",
" b'KMSL',\n",
" b'KMSN',\n",
" b'KMSO',\n",
" b'KMSP',\n",
" b'KMSS',\n",
" b'KMSY',\n",
" b'KMTJ',\n",
" b'KMTN',\n",
" b'KMWH',\n",
" b'KMYR',\n",
" b'KNA',\n",
" b'KNEW',\n",
" b'KNL',\n",
" b'KNSI',\n",
" b'KOAK',\n",
2018-09-06 12:12:07 -06:00
" b'KOFK',\n",
2018-10-05 17:09:43 -06:00
" b'KOGD',\n",
" b'KOKC',\n",
" b'KOLM',\n",
2018-09-06 12:12:07 -06:00
" b'KOMA',\n",
2018-10-05 17:09:43 -06:00
" b'KONT',\n",
" b'KOPF',\n",
" b'KOQU',\n",
" b'KORD',\n",
" b'KORF',\n",
" b'KORH',\n",
" b'KOSH',\n",
" b'KOTH',\n",
" b'KOTM',\n",
" b'KP11',\n",
" b'KP38',\n",
" b'KPAE',\n",
" b'KPAH',\n",
" b'KPBF',\n",
" b'KPBI',\n",
" b'KPDK',\n",
" b'KPDT',\n",
" b'KPDX',\n",
" b'KPFN',\n",
" b'KPGA',\n",
" b'KPHF',\n",
" b'KPHL',\n",
" b'KPHN',\n",
" b'KPHX',\n",
" b'KPIA',\n",
" b'KPIB',\n",
" b'KPIE',\n",
" b'KPIH',\n",
" b'KPIR',\n",
" b'KPIT',\n",
" b'KPKB',\n",
" b'KPLN',\n",
" b'KPMD',\n",
" b'KPNC',\n",
" b'KPNE',\n",
" b'KPNS',\n",
" b'KPOU',\n",
" b'KPQI',\n",
" b'KPRB',\n",
" b'KPRC',\n",
" b'KPSC',\n",
" b'KPSM',\n",
" b'KPSP',\n",
" b'KPTK',\n",
" b'KPUB',\n",
" b'KPVD',\n",
" b'KPVU',\n",
" b'KPWM',\n",
" b'KRAD',\n",
" b'KRAP',\n",
" b'KRBL',\n",
" b'KRDD',\n",
" b'KRDG',\n",
" b'KRDM',\n",
" b'KRDU',\n",
" b'KRFD',\n",
" b'KRIC',\n",
" b'KRIW',\n",
" b'KRKD',\n",
" b'KRKS',\n",
" b'KRNO',\n",
" b'KRNT',\n",
" b'KROA',\n",
" b'KROC',\n",
" b'KROW',\n",
2018-09-06 12:12:07 -06:00
" b'KRSL',\n",
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" b'KRST',\n",
" b'KRSW',\n",
" b'KRUM',\n",
" b'KRWF',\n",
" b'KRWI',\n",
" b'KRWL',\n",
" b'KSAC',\n",
" b'KSAF',\n",
" b'KSAN',\n",
" b'KSAT',\n",
" b'KSAV',\n",
" b'KSBA',\n",
" b'KSBN',\n",
" b'KSBP',\n",
" b'KSBY',\n",
" b'KSCH',\n",
" b'KSCK',\n",
" b'KSDF',\n",
" b'KSDM',\n",
" b'KSDY',\n",
" b'KSEA',\n",
" b'KSEP',\n",
" b'KSFF',\n",
" b'KSFO',\n",
" b'KSGF',\n",
" b'KSGU',\n",
" b'KSHR',\n",
" b'KSHV',\n",
" b'KSJC',\n",
" b'KSJT',\n",
" b'KSLC',\n",
" b'KSLE',\n",
" b'KSLK',\n",
2018-09-06 12:12:07 -06:00
" b'KSLN',\n",
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" b'KSMF',\n",
" b'KSMX',\n",
" b'KSNA',\n",
" b'KSNS',\n",
" b'KSPI',\n",
" b'KSPS',\n",
" b'KSRQ',\n",
" b'KSSI',\n",
2018-09-06 12:12:07 -06:00
" b'KSTJ',\n",
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" b'KSTL',\n",
" b'KSTP',\n",
" b'KSTS',\n",
" b'KSUN',\n",
" b'KSUS',\n",
2018-09-06 12:12:07 -06:00
" b'KSUX',\n",
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" b'KSVE',\n",
" b'KSWF',\n",
" b'KSYR',\n",
" b'KTCC',\n",
" b'KTCL',\n",
" b'KTCS',\n",
" b'KTEB',\n",
" b'KTIW',\n",
" b'KTLH',\n",
" b'KTMB',\n",
" b'KTOL',\n",
2018-09-06 12:12:07 -06:00
" b'KTOP',\n",
2018-10-05 17:09:43 -06:00
" b'KTPA',\n",
" b'KTPH',\n",
" b'KTRI',\n",
" b'KTRK',\n",
" b'KTRM',\n",
" b'KTTD',\n",
" b'KTTN',\n",
" b'KTUL',\n",
" b'KTUP',\n",
" b'KTUS',\n",
" b'KTVC',\n",
" b'KTVL',\n",
" b'KTWF',\n",
" b'KTXK',\n",
" b'KTYR',\n",
" b'KTYS',\n",
" b'KUCA',\n",
" b'KUIN',\n",
" b'KUKI',\n",
" b'KUNV',\n",
" b'KVCT',\n",
" b'KVEL',\n",
" b'KVLD',\n",
" b'KVNY',\n",
" b'KVRB',\n",
" b'KWJF',\n",
" b'KWMC',\n",
" b'KWRL',\n",
" b'KWYS',\n",
" b'KY22',\n",
" b'KY26',\n",
" b'KYKM',\n",
2018-09-06 12:12:07 -06:00
" b'KYKN',\n",
2018-10-05 17:09:43 -06:00
" b'KYNG',\n",
" b'KYUM',\n",
" b'KZZV',\n",
" b'LAA',\n",
" b'LAP',\n",
" b'LBY',\n",
" b'LDL',\n",
" b'LHX',\n",
" b'LIC',\n",
" b'LOR',\n",
" b'LRR',\n",
" b'LSF',\n",
" b'LUS',\n",
" b'LVM',\n",
" b'LW1',\n",
" b'MAC',\n",
" b'MAX',\n",
" b'MAZ',\n",
" b'MDPC',\n",
" b'MDPP',\n",
" b'MDSD',\n",
" b'MDST',\n",
" b'MGFL',\n",
" b'MGGT',\n",
" b'MGHT',\n",
" b'MGPB',\n",
" b'MGSJ',\n",
" b'MHAM',\n",
" b'MHCA',\n",
" b'MHCH',\n",
" b'MHLC',\n",
" b'MHLE',\n",
" b'MHLM',\n",
" b'MHNJ',\n",
" b'MHPL',\n",
" b'MHRO',\n",
" b'MHSR',\n",
" b'MHTE',\n",
" b'MHTG',\n",
" b'MHYR',\n",
" b'MIB',\n",
" b'MIE',\n",
" b'MKJP',\n",
" b'MKJS',\n",
" b'MLD',\n",
" b'MMAA',\n",
" b'MMAS',\n",
" b'MMBT',\n",
" b'MMCE',\n",
" b'MMCL',\n",
" b'MMCN',\n",
" b'MMCS',\n",
" b'MMCU',\n",
" b'MMCV',\n",
" b'MMCZ',\n",
" b'MMDO',\n",
" b'MMGL',\n",
" b'MMGM',\n",
" b'MMHO',\n",
" b'MMLP',\n",
" b'MMMA',\n",
" b'MMMD',\n",
" b'MMML',\n",
" b'MMMM',\n",
" b'MMMT',\n",
" b'MMMX',\n",
" b'MMMY',\n",
" b'MMMZ',\n",
" b'MMNL',\n",
" b'MMPR',\n",
" b'MMRX',\n",
" b'MMSD',\n",
" b'MMSP',\n",
" b'MMTC',\n",
" b'MMTJ',\n",
" b'MMTM',\n",
" b'MMTO',\n",
" b'MMTP',\n",
" b'MMUN',\n",
" b'MMVR',\n",
" b'MMZC',\n",
" b'MMZH',\n",
" b'MMZO',\n",
" b'MNMG',\n",
" b'MNPC',\n",
" b'MOR',\n",
" b'MPBO',\n",
" b'MPCH',\n",
" b'MPDA',\n",
" b'MPMG',\n",
" b'MPSA',\n",
" b'MPTO',\n",
" b'MPX',\n",
" b'MRCH',\n",
" b'MRF',\n",
" b'MRLB',\n",
" b'MRLM',\n",
" b'MROC',\n",
" b'MRPV',\n",
" b'MRS',\n",
" b'MSAC',\n",
" b'MSLP',\n",
" b'MSSS',\n",
" b'MTCH',\n",
" b'MTL',\n",
" b'MTPP',\n",
" b'MTV',\n",
" b'MTY',\n",
" b'MUBA',\n",
" b'MUBY',\n",
" b'MUCA',\n",
" b'MUCL',\n",
" b'MUCM',\n",
" b'MUCU',\n",
" b'MUGM',\n",
" b'MUGT',\n",
" b'MUHA',\n",
" b'MUMO',\n",
" b'MUMZ',\n",
" b'MUNG',\n",
" b'MUVR',\n",
" b'MUVT',\n",
" b'MWCR',\n",
" b'MYBS',\n",
" b'MYEG',\n",
" b'MYGF',\n",
" b'MYGW',\n",
" b'MYL',\n",
" b'MYNN',\n",
" b'MZBZ',\n",
" b'MZT',\n",
" b'NCK',\n",
" b'NGX',\n",
" b'NHK',\n",
" b'NID',\n",
" b'NKX',\n",
" b'NOA',\n",
" b'NRU',\n",
" b'NTD',\n",
" ...]"
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]
},
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"execution_count": 2,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"locations = DataAccessLayer.getAvailableLocationNames(request)\n",
"locations.sort()\n",
"list(locations)"
]
},
{
"cell_type": "code",
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"execution_count": 3,
"metadata": {},
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"outputs": [],
"source": [
"request.setLocationNames(\"KFRM\")\n",
"cycles = DataAccessLayer.getAvailableTimes(request, True)\n",
"times = DataAccessLayer.getAvailableTimes(request)\n",
"\n",
"try:\n",
" fcstRun = DataAccessLayer.getForecastRun(cycles[-1], times)\n",
" list(fcstRun)\n",
" response = DataAccessLayer.getGeometryData(request,[fcstRun[0]])\n",
"except:\n",
" print('No times available')\n",
" exit"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Model Sounding Parameters\n",
"\n",
"Construct arrays for each parameter to plot (temperature, pressure, moisutre (spec. humidity), wind components, and cloud cover)"
]
},
{
"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"parms = [b'temperature', b'pressure', b'vComp', b'uComp', b'cldCvr', b'specHum', b'omega']\n",
"site = b'KFRM'\n",
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"geom = POINT (-94.41999816894531 43.65000152587891)\n",
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"datetime = 2018-10-05 12:00:00\n",
"reftime = Oct 05 18 12:00:00 GMT\n",
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"fcstHour = 0\n",
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"period = (Oct 05 18 12:00:00 , Oct 05 18 12:00:00 )\n"
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]
}
],
"source": [
"tmp,prs,sh = np.array([]),np.array([]),np.array([])\n",
"uc,vc,om,cld = np.array([]),np.array([]),np.array([]),np.array([])\n",
"\n",
"for ob in response:\n",
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" tmp = np.append(tmp,ob.getNumber(\"temperature\"))\n",
" prs = np.append(prs,ob.getNumber(\"pressure\"))\n",
" sh = np.append(sh,ob.getNumber(\"specHum\"))\n",
" uc = np.append(uc,ob.getNumber(\"uComp\"))\n",
" vc = np.append(vc,ob.getNumber(\"vComp\"))\n",
" om = np.append(om,ob.getNumber(\"omega\"))\n",
" cld = np.append(cld,ob.getNumber(\"cldCvr\"))\n",
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"\n",
"print(\"parms = \" + str(ob.getParameters()))\n",
"print(\"site = \" + str(ob.getLocationName()))\n",
"print(\"geom = \" + str(ob.getGeometry()))\n",
"print(\"datetime = \" + str(ob.getDataTime()))\n",
"print(\"reftime = \" + str(ob.getDataTime().getRefTime()))\n",
"print(\"fcstHour = \" + str(ob.getDataTime().getFcstTime()))\n",
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"print(\"period = \" + str(ob.getDataTime().getValidPeriod()))"
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Calculating Dewpoint from Specific Humidity\n",
"\n",
"Because the modelsounding plugin does not return dewpoint values, we must calculate the profile ourselves. Here are three examples of dewpoint calculated from specific humidity, including a manual calculation following NCEP AWIPS/NSHARP. \n",
"\n",
"**1) MetPy calculated mixing ratio and vapor pressure**"
]
},
{
"cell_type": "code",
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"execution_count": 6,
"metadata": {},
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"outputs": [],
"source": [
"t = (tmp-273.15) * units.degC\n",
"p = prs/100 * units.mbar\n",
"\n",
"u,v = uc*1.94384,vc*1.94384 # m/s to knots\n",
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"spd = wind_speed(u, v) * units.knots\n",
"dir = wind_direction(u, v) * units.deg"
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]
},
{
"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
2018-10-05 17:09:43 -06:00
"outputs": [],
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"source": [
"rmix = (sh/(1-sh)) *1000 * units('g/kg')\n",
"e = vapor_pressure(p, rmix)\n",
"td = dewpoint(e)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**2) metpy calculated assuming spec. humidity = mixing ratio**"
]
},
{
"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
"td2 = dewpoint(vapor_pressure(p, sh))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**3) NCEP AWIPS soundingrequest plugin**\n",
"\n",
"based on GEMPAK/NSHARP, from https://github.com/Unidata/awips2-ncep/blob/unidata_16.2.2/edex/gov.noaa.nws.ncep.edex.plugin.soundingrequest/src/gov/noaa/nws/ncep/edex/plugin/soundingrequest/handler/MergeSounding.java#L1783"
]
},
{
"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
2018-10-05 17:09:43 -06:00
"/Users/mjames/miniconda3/envs/python3-awips/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: divide by zero encountered in log\n",
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" \n",
2018-10-05 17:09:43 -06:00
"/Users/mjames/miniconda3/envs/python3-awips/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: invalid value encountered in true_divide\n",
2018-09-05 15:52:38 -06:00
" \n"
]
}
],
"source": [
"# new arrays\n",
"ntmp = tmp\n",
"\n",
"# where p=pressure(pa), T=temp(C), T0=reference temp(273.16)\n",
"rh = 0.263*prs*sh / (np.exp(17.67*ntmp/(ntmp+273.15-29.65)))\n",
"vaps = 6.112 * np.exp((17.67 * ntmp) / (ntmp + 243.5))\n",
"vapr = rh * vaps / 100\n",
"dwpc = np.array(243.5 * (np.log(6.112) - np.log(vapr)) / (np.log(vapr) - np.log(6.112) - 17.67)) * units.degC"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## MetPy SkewT and Hodograph"
]
},
{
"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
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"<Figure size 864x1008 with 2 Axes>"
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]
},
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"metadata": {
"needs_background": "light"
},
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"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"\n",
"plt.rcParams['figure.figsize'] = (12, 14)\n",
"\n",
"# Create a skewT plot\n",
"skew = SkewT()\n",
"\n",
"# Plot the data\n",
"skew.plot(p, t, 'r', linewidth=2)\n",
"skew.plot(p, td, 'b', linewidth=2)\n",
"skew.plot(p, td2, 'y')\n",
"skew.plot(p, dwpc, 'g', linewidth=2)\n",
"\n",
"skew.plot_barbs(p, u, v)\n",
"skew.ax.set_ylim(1000, 100)\n",
"skew.ax.set_xlim(-40, 60)\n",
"\n",
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"plt.title( forecastModel + \" \" \\\n",
" + ob.getLocationName().decode('UTF-8') \\\n",
" + \"(\"+ str(ob.getGeometry()) + \")\" \\\n",
" + \", \" + str(ob.getDataTime())\n",
")\n",
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"\n",
"# An example of a slanted line at constant T -- in this case the 0 isotherm\n",
"l = skew.ax.axvline(0, color='c', linestyle='--', linewidth=2)\n",
"\n",
"# Draw hodograph\n",
"ax_hod = inset_axes(skew.ax, '40%', '40%', loc=2)\n",
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"h = Hodograph(ax_hod, component_range=wind_speed(u, v).max())\n",
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"h.add_grid(increment=20)\n",
"h.plot_colormapped(u, v, spd)\n",
"\n",
"# Show the plot\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"version": 3
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
"version": "3.6.6"
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}
},
"nbformat": 4,
"nbformat_minor": 1
}
