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1427 lines
27 KiB
ReStructuredText
1427 lines
27 KiB
ReStructuredText
===================
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Model Sounding Data
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===================
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`Notebook <http://nbviewer.ipython.org/github/Unidata/python-awips/blob/master/examples/notebooks/Model_Sounding_Data.ipynb>`_
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Python-AWIPS Tutorial Notebook
|
||
|
||
--------------
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||
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Objectives
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==========
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- Use python-awips to connect to an edex server
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- Define and filter data request for model sounding data
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- Create vertical profiles from GFS BUFR products
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- Use MetPy to create
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`SkewT <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html>`__
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and
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`Hodograph <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.Hodograph.html>`__
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plots
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--------------
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||
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Table of Contents
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||
-----------------
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| `1
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Imports <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#imports>`__\
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| `2 EDEX
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Connection <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#edex-connection>`__\
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| `3 Setting
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Location <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#setting-location>`__\
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| `3.1 Available Location
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Names <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#available-location-names>`__\
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| `3.2 Setting the Location
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Name <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#setting-the-location-name>`__\
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| `4 Filtering by
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Time <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#filtering-by-time>`__\
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| `5 Get the
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Data! <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#get-the-data>`__\
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| `6 Use the
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Data! <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#use-the-data>`__\
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| `6.1 Prepare Data
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Objects <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#prepare-data-objects>`__\
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| `6.2 Calculate Dewpoint from Specific
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Humidity <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#calculate-dewpoint-from-specific-humidity>`__\
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| `6.2.1 Method
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1 <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#method-1>`__\
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| `6.2.2 Method
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2 <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#method-2>`__\
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| `6.2.3 Method
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3 <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#method-3>`__\
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| `7 Plot the
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Data! <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#plot-the-data>`__\
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| `8 See
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Also <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#see-also>`__\
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| `8.1 Related
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Notebooks <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#related-notebooks>`__\
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| `8.2 Additional
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Documentation <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html#additional-documentation>`__\
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1 Imports
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---------
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The imports below are used throughout the notebook. Note the first
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import is coming directly from python-awips and allows us to connect to
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an EDEX server. The subsequent imports are for data manipulation and
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visualization.
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.. code:: ipython3
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from awips.dataaccess import DataAccessLayer
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import matplotlib.pyplot as plt
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from mpl_toolkits.axes_grid1.inset_locator import inset_axes
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from math import exp, log
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import numpy as np
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from metpy.calc import dewpoint, vapor_pressure, wind_speed, wind_direction
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from metpy.plots import SkewT, Hodograph
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from metpy.units import units
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`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
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--------------
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2 EDEX Connection
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-----------------
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First we establish a connection to Unidata’s public EDEX server. With
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that connection made, we can create a `new data request
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object <http://unidata.github.io/python-awips/api/IDataRequest.html>`__
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and set the data type to **modelsounding**, and define additional
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parameters and an identifier on the request.
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.. code:: ipython3
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DataAccessLayer.changeEDEXHost("edex-cloud.unidata.ucar.edu")
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request = DataAccessLayer.newDataRequest("modelsounding")
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forecastModel = "GFS"
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request.addIdentifier("reportType", forecastModel)
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request.setParameters("pressure","temperature","specHum","uComp","vComp")
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`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
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--------------
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3 Setting Location
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------------------
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3.1 Available Location Names
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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When working with a new data type, it is often useful to investigate all
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available options for a particular setting. Shown below is how to see
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all available location names for a data request with type
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``modelsounding`` and ``reportType`` identifier of ``GFS``. This step is
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not necessary if you already know exactly what the location name(s)
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you’re interested in is.
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.. code:: ipython3
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locations = DataAccessLayer.getAvailableLocationNames(request)
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locations.sort()
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list(locations)
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.. parsed-literal::
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['',
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'1V4',
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||
'3J2',
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'4BL',
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||
'4BQ',
|
||
'4HV',
|
||
'4OM',
|
||
'5AF',
|
||
'5AG',
|
||
'5SZ',
|
||
'6RO',
|
||
'8V7',
|
||
'9B6',
|
||
'A#2',
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||
'A#3',
|
||
'A#4',
|
||
'A#5',
|
||
'A#6',
|
||
'A#7',
|
||
'A#8',
|
||
'A#9',
|
||
'A#A',
|
||
'A#B',
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||
'ABL',
|
||
'ADM',
|
||
'AFA',
|
||
'AGR',
|
||
'AHN',
|
||
'AIA',
|
||
'AIH',
|
||
'AJO',
|
||
'ANJ',
|
||
'APX',
|
||
'AQQ',
|
||
'ATH',
|
||
'ATL1',
|
||
'ATL2',
|
||
'ATL3',
|
||
'ATL4',
|
||
'ATLH',
|
||
'AWH',
|
||
'AWR',
|
||
'B#1',
|
||
'B#2',
|
||
'B#3',
|
||
'B#4',
|
||
'B#5',
|
||
'B#6',
|
||
'B#7',
|
||
'B#8',
|
||
'B#9',
|
||
'B#A',
|
||
'B#B',
|
||
'B#C',
|
||
'B#D',
|
||
'B#E',
|
||
'B#F',
|
||
'B#G',
|
||
'B#H',
|
||
'B#J',
|
||
'B#K',
|
||
'B#L',
|
||
'B#M',
|
||
'B#N',
|
||
'B#O',
|
||
'B#P',
|
||
'B#Q',
|
||
'B#S',
|
||
'BAB',
|
||
'BDG',
|
||
'BDP',
|
||
'BFL',
|
||
'BGTL',
|
||
'BH1',
|
||
'BH2',
|
||
'BH3',
|
||
'BH4',
|
||
'BH5',
|
||
'BHK',
|
||
'BID',
|
||
'BIR',
|
||
'BLS',
|
||
'BLU',
|
||
'BMX',
|
||
'BNA',
|
||
'BOD',
|
||
'BRA',
|
||
'BTL',
|
||
'BVR',
|
||
'C01',
|
||
'C02',
|
||
'C03',
|
||
'C04',
|
||
'C06',
|
||
'C07',
|
||
'C08',
|
||
'C09',
|
||
'C10',
|
||
'C11',
|
||
'C12',
|
||
'C13',
|
||
'C14',
|
||
'C17',
|
||
'C18',
|
||
'C19',
|
||
'C20',
|
||
'C21',
|
||
'C22',
|
||
'C23',
|
||
'C24',
|
||
'C25',
|
||
'C27',
|
||
'C28',
|
||
'C30',
|
||
'C31',
|
||
'C32',
|
||
'C33',
|
||
'C34',
|
||
'C35',
|
||
'C36',
|
||
'C7H',
|
||
'CAI',
|
||
'CAN',
|
||
'CBE',
|
||
'CBN',
|
||
'CHE',
|
||
'CKN',
|
||
'CLD',
|
||
'CLE',
|
||
'CLN',
|
||
'COL1',
|
||
'COL2',
|
||
'COL3',
|
||
'COL4',
|
||
'COT',
|
||
'CQV',
|
||
'CRL',
|
||
'CRR',
|
||
'CTY',
|
||
'CVM',
|
||
'CVS',
|
||
'CWEU',
|
||
'CWFN',
|
||
'CWKX',
|
||
'CWLB',
|
||
'CWLO',
|
||
'CWLT',
|
||
'CWLW',
|
||
'CWMW',
|
||
'CWOS',
|
||
'CWPH',
|
||
'CWQG',
|
||
'CWSA',
|
||
'CWSE',
|
||
'CWZB',
|
||
'CWZC',
|
||
'CWZV',
|
||
'CYAH',
|
||
'CYAW',
|
||
'CYBK',
|
||
'CYBU',
|
||
'CYCB',
|
||
'CYCG',
|
||
'CYCX',
|
||
'CYDA',
|
||
'CYEG',
|
||
'CYEV',
|
||
'CYFB',
|
||
'CYFO',
|
||
'CYFS',
|
||
'CYGQ',
|
||
'CYHM',
|
||
'CYHZ',
|
||
'CYJT',
|
||
'CYLH',
|
||
'CYLJ',
|
||
'CYMD',
|
||
'CYMO',
|
||
'CYMT',
|
||
'CYMX',
|
||
'CYOC',
|
||
'CYOW',
|
||
'CYPA',
|
||
'CYPE',
|
||
'CYPL',
|
||
'CYPQ',
|
||
'CYQA',
|
||
'CYQD',
|
||
'CYQG',
|
||
'CYQH',
|
||
'CYQI',
|
||
'CYQK',
|
||
'CYQQ',
|
||
'CYQR',
|
||
'CYQT',
|
||
'CYQX',
|
||
'CYQY',
|
||
'CYRB',
|
||
'CYSM',
|
||
'CYSY',
|
||
'CYTH',
|
||
'CYTL',
|
||
'CYTS',
|
||
'CYUL',
|
||
'CYUX',
|
||
'CYVO',
|
||
'CYVP',
|
||
'CYVQ',
|
||
'CYVR',
|
||
'CYVV',
|
||
'CYWA',
|
||
'CYWG',
|
||
'CYWO',
|
||
'CYXC',
|
||
'CYXE',
|
||
'CYXH',
|
||
'CYXS',
|
||
'CYXU',
|
||
'CYXX',
|
||
'CYXY',
|
||
'CYXZ',
|
||
'CYYB',
|
||
'CYYC',
|
||
'CYYE',
|
||
'CYYJ',
|
||
'CYYQ',
|
||
'CYYR',
|
||
'CYYT',
|
||
'CYYZ',
|
||
'CYZF',
|
||
'CYZS',
|
||
'CYZT',
|
||
'CYZV',
|
||
'DEN',
|
||
'DOV',
|
||
'DPG',
|
||
'DSC',
|
||
'DSD',
|
||
'DTX',
|
||
'DVN',
|
||
'DYS',
|
||
'E28',
|
||
'E74',
|
||
'EAT',
|
||
'EAX',
|
||
'EDW',
|
||
'EFL',
|
||
'EMP',
|
||
'END',
|
||
'ENL',
|
||
'ESTC',
|
||
'FCS',
|
||
'FDR',
|
||
'FFC',
|
||
'FHU',
|
||
'FLG',
|
||
'FLP',
|
||
'FPK',
|
||
'FRI',
|
||
'FSI',
|
||
'FTR',
|
||
'FWD',
|
||
'G#1',
|
||
'G#2',
|
||
'G#3',
|
||
'G#4',
|
||
'G#5',
|
||
'G#6',
|
||
'G#7',
|
||
'G#8',
|
||
'G#9',
|
||
'G#A',
|
||
'G#B',
|
||
'G#C',
|
||
'G#D',
|
||
'G#E',
|
||
'G#F',
|
||
'G#G',
|
||
'G001',
|
||
'G003',
|
||
'G004',
|
||
'G005',
|
||
'G007',
|
||
'G009',
|
||
'GDP',
|
||
'GDV',
|
||
'GLRY',
|
||
'GMX1',
|
||
'GNB',
|
||
'GNC',
|
||
'GRF',
|
||
'GTB',
|
||
'GTP',
|
||
'GVL',
|
||
'GVS',
|
||
'GYX',
|
||
'H02',
|
||
'HAY',
|
||
'HGR',
|
||
'HMN',
|
||
'HOM',
|
||
'HOO',
|
||
'HSI',
|
||
'HYR',
|
||
'HYS',
|
||
'ICC',
|
||
'IGM',
|
||
'ILN',
|
||
'ILS',
|
||
'ILX',
|
||
'IMT',
|
||
'INK',
|
||
'IPX',
|
||
'JACK',
|
||
'JDN',
|
||
'K40B',
|
||
'K9V9',
|
||
'KABE',
|
||
'KABI',
|
||
'KABQ',
|
||
'KABR',
|
||
'KABY',
|
||
'KACK',
|
||
'KACT',
|
||
'KACV',
|
||
'KACY',
|
||
'KAGC',
|
||
'KAGS',
|
||
'KAHN',
|
||
'KAK',
|
||
'KALB',
|
||
'KALI',
|
||
'KALO',
|
||
'KALS',
|
||
'KALW',
|
||
'KAMA',
|
||
'KAN',
|
||
'KANB',
|
||
'KAND',
|
||
'KAOO',
|
||
'KAPA',
|
||
'KAPN',
|
||
'KART',
|
||
'KASE',
|
||
'KAST',
|
||
'KATL',
|
||
'KATY',
|
||
'KAUG',
|
||
'KAUS',
|
||
'KAUW',
|
||
'KAVL',
|
||
'KAVP',
|
||
'KAXN',
|
||
'KAYS',
|
||
'KAZO',
|
||
'KBAF',
|
||
'KBCE',
|
||
'KBDE',
|
||
'KBDL',
|
||
'KBDR',
|
||
'KBED',
|
||
'KBFD',
|
||
'KBFF',
|
||
'KBFI',
|
||
'KBFL',
|
||
'KBGM',
|
||
'KBGR',
|
||
'KBHB',
|
||
'KBHM',
|
||
'KBIH',
|
||
'KBIL',
|
||
'KBIS',
|
||
'KBJC',
|
||
'KBJI',
|
||
'KBKE',
|
||
'KBKW',
|
||
'KBLF',
|
||
'KBLH',
|
||
'KBLI',
|
||
'KBML',
|
||
'KBNA',
|
||
'KBNO',
|
||
'KBNV',
|
||
'KBOI',
|
||
'KBOS',
|
||
'KBPT',
|
||
'KBQK',
|
||
'KBRD',
|
||
'KBRL',
|
||
'KBRO',
|
||
'KBTL',
|
||
'KBTM',
|
||
'KBTR',
|
||
'KBTV',
|
||
'KBUF',
|
||
'KBUR',
|
||
'KBVI',
|
||
'KBVX',
|
||
'KBVY',
|
||
'KBWG',
|
||
'KBWI',
|
||
'KBYI',
|
||
'KBZN',
|
||
'KCAE',
|
||
'KCAK',
|
||
'KCAR',
|
||
'KCDC',
|
||
'KCDR',
|
||
'KCDS',
|
||
'KCEC',
|
||
'KCEF',
|
||
'KCGI',
|
||
'KCGX',
|
||
'KCHA',
|
||
'KCHH',
|
||
'KCHO',
|
||
'KCHS',
|
||
'KCID',
|
||
'KCIU',
|
||
'KCKB',
|
||
'KCKL',
|
||
'KCLE',
|
||
'KCLL',
|
||
'KCLM',
|
||
'KCLT',
|
||
'KCMH',
|
||
'KCMI',
|
||
'KCMX',
|
||
'KCNM',
|
||
'KCNU',
|
||
'KCOD',
|
||
'KCOE',
|
||
'KCON',
|
||
'KCOS',
|
||
'KCOU',
|
||
'KCPR',
|
||
'KCRE',
|
||
'KCRP',
|
||
'KCRQ',
|
||
'KCRW',
|
||
'KCSG',
|
||
'KCSV',
|
||
'KCTB',
|
||
'KCVG',
|
||
'KCWA',
|
||
'KCYS',
|
||
'KDAB',
|
||
'KDAG',
|
||
'KDAL',
|
||
'KDAN',
|
||
'KDAY',
|
||
'KDBQ',
|
||
'KDCA',
|
||
'KDDC',
|
||
'KDEC',
|
||
'KDEN',
|
||
'KDET',
|
||
'KDFW',
|
||
'KDHN',
|
||
'KDHT',
|
||
'KDIK',
|
||
'KDLH',
|
||
'KDLS',
|
||
'KDMN',
|
||
'KDPA',
|
||
'KDRA',
|
||
'KDRO',
|
||
'KDRT',
|
||
'KDSM',
|
||
'KDTW',
|
||
'KDUG',
|
||
'KDUJ',
|
||
'KEAT',
|
||
'KEAU',
|
||
'KECG',
|
||
'KEED',
|
||
'KEGE',
|
||
'KEKN',
|
||
'KEKO',
|
||
'KEL',
|
||
'KELD',
|
||
'KELM',
|
||
'KELO',
|
||
'KELP',
|
||
'KELY',
|
||
'KENV',
|
||
'KEPH',
|
||
'KEPO',
|
||
'KEPZ',
|
||
'KERI',
|
||
'KESF',
|
||
'KEUG',
|
||
'KEVV',
|
||
'KEWB',
|
||
'KEWN',
|
||
'KEWR',
|
||
'KEYW',
|
||
'KFAM',
|
||
'KFAR',
|
||
'KFAT',
|
||
'KFAY',
|
||
'KFCA',
|
||
'KFDY',
|
||
'KFKL',
|
||
'KFLG',
|
||
'KFLL',
|
||
'KFLO',
|
||
'KFMN',
|
||
'KFMY',
|
||
'KFNT',
|
||
'KFOE',
|
||
'KFPR',
|
||
'KFRM',
|
||
'KFSD',
|
||
'KFSM',
|
||
'KFTW',
|
||
'KFTY',
|
||
'KFVE',
|
||
'KFVX',
|
||
'KFWA',
|
||
'KFXE',
|
||
'KFYV',
|
||
'KGAG',
|
||
'KGCC',
|
||
'KGCK',
|
||
'KGCN',
|
||
'KGEG',
|
||
'KGFK',
|
||
'KGFL',
|
||
'KGGG',
|
||
'KGGW',
|
||
'KGJT',
|
||
'KGLD',
|
||
'KGLH',
|
||
'KGLS',
|
||
'KGMU',
|
||
'KGNR',
|
||
'KGNV',
|
||
'KGON',
|
||
'KGPT',
|
||
'KGRB',
|
||
'KGRI',
|
||
'KGRR',
|
||
'KGSO',
|
||
'KGSP',
|
||
'KGTF',
|
||
'KGUC',
|
||
'KGUP',
|
||
'KGWO',
|
||
'KGYY',
|
||
'KGZH',
|
||
'KHAT',
|
||
'KHBR',
|
||
'KHDN',
|
||
'KHIB',
|
||
'KHIO',
|
||
'KHKY',
|
||
'KHLG',
|
||
'KHLN',
|
||
'KHOB',
|
||
'KHON',
|
||
'KHOT',
|
||
'KHOU',
|
||
'KHPN',
|
||
'KHQM',
|
||
'KHRL',
|
||
'KHRO',
|
||
'KHSV',
|
||
'KHTH',
|
||
'KHTS',
|
||
'KHUF',
|
||
'KHUL',
|
||
'KHUT',
|
||
'KHVN',
|
||
'KHVR',
|
||
'KHYA',
|
||
'KIAD',
|
||
'KIAG',
|
||
'KIAH',
|
||
'KICT',
|
||
'KIDA',
|
||
'KIL',
|
||
'KILG',
|
||
'KILM',
|
||
'KIND',
|
||
'KINK',
|
||
'KINL',
|
||
'KINT',
|
||
'KINW',
|
||
'KIPL',
|
||
'KIPT',
|
||
'KISN',
|
||
'KISP',
|
||
'KITH',
|
||
'KIWD',
|
||
'KJAC',
|
||
'KJAN',
|
||
'KJAX',
|
||
'KJBR',
|
||
'KJFK',
|
||
'KJHW',
|
||
'KJKL',
|
||
'KJLN',
|
||
'KJMS',
|
||
'KJST',
|
||
'KJXN',
|
||
'KKL',
|
||
'KLAF',
|
||
'KLAN',
|
||
'KLAR',
|
||
'KLAS',
|
||
'KLAX',
|
||
'KLBB',
|
||
'KLBE',
|
||
'KLBF',
|
||
'KLCB',
|
||
'KLCH',
|
||
'KLEB',
|
||
'KLEX',
|
||
'KLFK',
|
||
'KLFT',
|
||
'KLGA',
|
||
'KLGB',
|
||
'KLGU',
|
||
'KLIT',
|
||
'KLMT',
|
||
'KLND',
|
||
'KLNK',
|
||
'KLOL',
|
||
'KLOZ',
|
||
'KLRD',
|
||
'KLSE',
|
||
'KLUK',
|
||
'KLVS',
|
||
'KLWB',
|
||
'KLWM',
|
||
'KLWS',
|
||
'KLWT',
|
||
'KLYH',
|
||
'KLZK',
|
||
'KMAF',
|
||
'KMBS',
|
||
'KMCB',
|
||
'KMCE',
|
||
'KMCI',
|
||
'KMCN',
|
||
'KMCO',
|
||
'KMCW',
|
||
'KMDN',
|
||
'KMDT',
|
||
'KMDW',
|
||
'KMEI',
|
||
'KMEM',
|
||
'KMFD',
|
||
'KMFE',
|
||
'KMFR',
|
||
'KMGM',
|
||
'KMGW',
|
||
'KMHE',
|
||
'KMHK',
|
||
'KMHT',
|
||
'KMHX',
|
||
'KMIA',
|
||
'KMIV',
|
||
'KMKC',
|
||
'KMKE',
|
||
'KMKG',
|
||
'KMKL',
|
||
'KMLB',
|
||
'KMLC',
|
||
'KMLI',
|
||
'KMLS',
|
||
'KMLT',
|
||
'KMLU',
|
||
'KMMU',
|
||
'KMOB',
|
||
'KMOT',
|
||
'KMPV',
|
||
'KMQT',
|
||
'KMRB',
|
||
'KMRY',
|
||
'KMSL',
|
||
'KMSN',
|
||
'KMSO',
|
||
'KMSP',
|
||
'KMSS',
|
||
'KMSY',
|
||
'KMTJ',
|
||
'KMTN',
|
||
'KMWH',
|
||
'KMYR',
|
||
'KNA',
|
||
'KNEW',
|
||
'KNL',
|
||
'KNSI',
|
||
'KOAK',
|
||
'KOFK',
|
||
'KOGD',
|
||
'KOKC',
|
||
'KOLM',
|
||
'KOMA',
|
||
'KONT',
|
||
'KOPF',
|
||
'KOQU',
|
||
'KORD',
|
||
'KORF',
|
||
'KORH',
|
||
'KOSH',
|
||
'KOTH',
|
||
'KOTM',
|
||
'KP11',
|
||
'KP38',
|
||
'KPAE',
|
||
'KPAH',
|
||
'KPBF',
|
||
'KPBI',
|
||
'KPDK',
|
||
'KPDT',
|
||
'KPDX',
|
||
'KPFN',
|
||
'KPGA',
|
||
'KPHF',
|
||
'KPHL',
|
||
'KPHN',
|
||
'KPHX',
|
||
'KPIA',
|
||
'KPIB',
|
||
'KPIE',
|
||
'KPIH',
|
||
'KPIR',
|
||
'KPIT',
|
||
'KPKB',
|
||
'KPLN',
|
||
'KPMD',
|
||
'KPNC',
|
||
'KPNE',
|
||
'KPNS',
|
||
'KPOU',
|
||
'KPQI',
|
||
'KPRB',
|
||
'KPRC',
|
||
'KPSC',
|
||
'KPSM',
|
||
'KPSP',
|
||
'KPTK',
|
||
'KPUB',
|
||
'KPVD',
|
||
'KPVU',
|
||
'KPWM',
|
||
'KRAD',
|
||
'KRAP',
|
||
'KRBL',
|
||
'KRDD',
|
||
'KRDG',
|
||
'KRDM',
|
||
'KRDU',
|
||
'KRFD',
|
||
'KRIC',
|
||
'KRIW',
|
||
'KRKD',
|
||
'KRKS',
|
||
'KRNO',
|
||
'KRNT',
|
||
'KROA',
|
||
'KROC',
|
||
'KROW',
|
||
'KRSL',
|
||
'KRST',
|
||
'KRSW',
|
||
'KRUM',
|
||
'KRWF',
|
||
'KRWI',
|
||
'KRWL',
|
||
'KSAC',
|
||
'KSAF',
|
||
'KSAN',
|
||
'KSAT',
|
||
'KSAV',
|
||
'KSBA',
|
||
'KSBN',
|
||
'KSBP',
|
||
'KSBY',
|
||
'KSCH',
|
||
'KSCK',
|
||
'KSDF',
|
||
'KSDM',
|
||
'KSDY',
|
||
'KSEA',
|
||
'KSEP',
|
||
'KSFF',
|
||
'KSFO',
|
||
'KSGF',
|
||
'KSGU',
|
||
'KSHR',
|
||
'KSHV',
|
||
'KSJC',
|
||
'KSJT',
|
||
'KSLC',
|
||
'KSLE',
|
||
'KSLK',
|
||
'KSLN',
|
||
'KSMF',
|
||
'KSMX',
|
||
'KSNA',
|
||
'KSNS',
|
||
'KSPI',
|
||
'KSPS',
|
||
'KSRQ',
|
||
'KSSI',
|
||
'KSTJ',
|
||
'KSTL',
|
||
'KSTP',
|
||
'KSTS',
|
||
'KSUN',
|
||
'KSUS',
|
||
'KSUX',
|
||
'KSVE',
|
||
'KSWF',
|
||
'KSYR',
|
||
'KTCC',
|
||
'KTCL',
|
||
'KTCS',
|
||
'KTEB',
|
||
'KTIW',
|
||
'KTLH',
|
||
'KTMB',
|
||
'KTOL',
|
||
'KTOP',
|
||
'KTPA',
|
||
'KTPH',
|
||
'KTRI',
|
||
'KTRK',
|
||
'KTRM',
|
||
'KTTD',
|
||
'KTTN',
|
||
'KTUL',
|
||
'KTUP',
|
||
'KTUS',
|
||
'KTVC',
|
||
'KTVL',
|
||
'KTWF',
|
||
'KTXK',
|
||
'KTYR',
|
||
'KTYS',
|
||
'KUCA',
|
||
'KUIN',
|
||
'KUKI',
|
||
'KUNV',
|
||
'KVCT',
|
||
'KVEL',
|
||
'KVLD',
|
||
'KVNY',
|
||
'KVRB',
|
||
'KWJF',
|
||
'KWMC',
|
||
'KWRL',
|
||
'KWYS',
|
||
'KY22',
|
||
'KY26',
|
||
'KYKM',
|
||
'KYKN',
|
||
'KYNG',
|
||
'KYUM',
|
||
'KZZV',
|
||
'LAA',
|
||
'LAP',
|
||
'LBY',
|
||
'LDL',
|
||
'LHX',
|
||
'LIC',
|
||
'LOR',
|
||
'LRR',
|
||
'LSF',
|
||
'LUS',
|
||
'LVM',
|
||
'LW1',
|
||
'MAC',
|
||
'MAX',
|
||
'MAZ',
|
||
'MDPC',
|
||
'MDPP',
|
||
'MDSD',
|
||
'MDST',
|
||
'MGFL',
|
||
'MGGT',
|
||
'MGHT',
|
||
'MGPB',
|
||
'MGSJ',
|
||
'MHAM',
|
||
'MHCA',
|
||
'MHCH',
|
||
'MHLC',
|
||
'MHLE',
|
||
'MHLM',
|
||
'MHNJ',
|
||
'MHPL',
|
||
'MHRO',
|
||
'MHSR',
|
||
'MHTE',
|
||
'MHTG',
|
||
'MHYR',
|
||
'MIB',
|
||
'MIE',
|
||
'MKJP',
|
||
'MKJS',
|
||
'MLD',
|
||
'MMAA',
|
||
'MMAS',
|
||
'MMBT',
|
||
'MMCE',
|
||
'MMCL',
|
||
'MMCN',
|
||
'MMCS',
|
||
'MMCU',
|
||
'MMCV',
|
||
'MMCZ',
|
||
'MMDO',
|
||
'MMGL',
|
||
'MMGM',
|
||
'MMHO',
|
||
'MMLP',
|
||
'MMMA',
|
||
'MMMD',
|
||
'MMML',
|
||
'MMMM',
|
||
'MMMT',
|
||
'MMMX',
|
||
'MMMY',
|
||
'MMMZ',
|
||
'MMNL',
|
||
'MMPR',
|
||
'MMRX',
|
||
'MMSD',
|
||
'MMSP',
|
||
'MMTC',
|
||
'MMTJ',
|
||
'MMTM',
|
||
'MMTO',
|
||
'MMTP',
|
||
'MMUN',
|
||
'MMVR',
|
||
'MMZC',
|
||
'MMZH',
|
||
'MMZO',
|
||
'MNMG',
|
||
'MNPC',
|
||
'MOR',
|
||
'MPBO',
|
||
'MPCH',
|
||
'MPDA',
|
||
'MPMG',
|
||
'MPSA',
|
||
'MPTO',
|
||
'MPX',
|
||
'MRCH',
|
||
'MRF',
|
||
'MRLB',
|
||
'MRLM',
|
||
'MROC',
|
||
'MRPV',
|
||
'MRS',
|
||
'MSAC',
|
||
'MSLP',
|
||
'MSSS',
|
||
'MTCH',
|
||
'MTL',
|
||
'MTPP',
|
||
'MTV',
|
||
'MTY',
|
||
'MUBA',
|
||
'MUBY',
|
||
'MUCA',
|
||
'MUCL',
|
||
'MUCM',
|
||
'MUCU',
|
||
'MUGM',
|
||
'MUGT',
|
||
'MUHA',
|
||
'MUMO',
|
||
'MUMZ',
|
||
'MUNG',
|
||
'MUVR',
|
||
'MUVT',
|
||
'MWCR',
|
||
'MYBS',
|
||
'MYEG',
|
||
'MYGF',
|
||
'MYGW',
|
||
'MYL',
|
||
'MYNN',
|
||
'MZBZ',
|
||
'MZT',
|
||
'NCK',
|
||
'NGX',
|
||
'NHK',
|
||
'NID',
|
||
'NKX',
|
||
'NOA',
|
||
'NRU',
|
||
'NTD',
|
||
...]
|
||
|
||
|
||
|
||
3.2 Setting the Location Name
|
||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||
|
||
In this case we’re setting the location name to ``KFRM`` which is the
|
||
Municipal Airport in Fairmont, Minnesota.
|
||
|
||
.. code:: ipython3
|
||
|
||
request.setLocationNames("KFRM")
|
||
|
||
`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
|
||
|
||
--------------
|
||
|
||
4 Filtering by Time
|
||
-------------------
|
||
|
||
Models produce many different time variants during their runs, so let’s
|
||
limit the data to the most recent time and forecast run.
|
||
|
||
.. code:: ipython3
|
||
|
||
cycles = DataAccessLayer.getAvailableTimes(request, True)
|
||
times = DataAccessLayer.getAvailableTimes(request)
|
||
|
||
try:
|
||
fcstRun = DataAccessLayer.getForecastRun(cycles[-1], times)
|
||
list(fcstRun)
|
||
response = DataAccessLayer.getGeometryData(request,[fcstRun[0]])
|
||
except:
|
||
print('No times available')
|
||
exit
|
||
|
||
`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
|
||
|
||
--------------
|
||
|
||
5 Get the Data!
|
||
---------------
|
||
|
||
Here we can now request our data response from the EDEX server with our
|
||
defined time filter. Printing out some data about the response verifies
|
||
we received the data we were interested in.
|
||
|
||
.. code:: ipython3
|
||
|
||
obj = response[0]
|
||
|
||
print("parms = " + str(obj.getParameters()))
|
||
print("site = " + str(obj.getLocationName()))
|
||
print("geom = " + str(obj.getGeometry()))
|
||
print("datetime = " + str(obj.getDataTime()))
|
||
print("reftime = " + str(obj.getDataTime().getRefTime()))
|
||
print("fcstHour = " + str(obj.getDataTime().getFcstTime()))
|
||
print("period = " + str(obj.getDataTime().getValidPeriod()))
|
||
|
||
|
||
.. parsed-literal::
|
||
|
||
parms = ['temperature', 'pressure', 'vComp', 'uComp', 'specHum']
|
||
site = KFRM
|
||
geom = POINT (-94.41999816894531 43.65000152587891)
|
||
datetime = 2022-08-19 12:00:00
|
||
reftime = Aug 19 22 12:00:00 GMT
|
||
fcstHour = 0
|
||
period = (Aug 19 22 12:00:00 , Aug 19 22 12:00:00 )
|
||
|
||
|
||
`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
|
||
|
||
--------------
|
||
|
||
6 Use the Data!
|
||
---------------
|
||
|
||
Since we filtered on time, and requested the data in the previous cell,
|
||
we now have a ``response`` object we can work with.
|
||
|
||
6.1 Prepare Data Objects
|
||
~~~~~~~~~~~~~~~~~~~~~~~~
|
||
|
||
Here we construct arrays for each parameter to plot (temperature,
|
||
pressure, moisture (spec. humidity), wind components, and cloud cover).
|
||
We have two sets of arrays for temperature and pressure, where the
|
||
second set only has values as long as the specific humidity is not zero.
|
||
That is because we are going to do some calculations with specific
|
||
humidity, temperature, and pressure and we need all those arrays to be
|
||
the same length, and for the specific humidty to not equal zero.
|
||
|
||
.. code:: ipython3
|
||
|
||
# Create new arrays to populate from our response objects
|
||
tmp,prs,sh,prs2,tmp2 = np.array([]),np.array([]),np.array([]),np.array([]),np.array([])
|
||
uc,vc = np.array([]),np.array([])
|
||
|
||
# Cycle through all response objects to populate new arrays
|
||
for ob in response:
|
||
tmp = np.append(tmp,ob.getNumber("temperature"))
|
||
prs = np.append(prs,ob.getNumber("pressure"))
|
||
uc = np.append(uc,ob.getNumber("uComp"))
|
||
vc = np.append(vc,ob.getNumber("vComp"))
|
||
# don't include data with 0 specific humidity
|
||
if(ob.getNumber("specHum")==0):
|
||
continue
|
||
sh = np.append(sh,ob.getNumber("specHum"))
|
||
prs2 = np.append(prs2,ob.getNumber("pressure"))
|
||
tmp2 = np.append(tmp2,ob.getNumber("temperature"))
|
||
|
||
6.2 Calculate Dewpoint from Specific Humidity
|
||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||
|
||
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.
|
||
|
||
First, we’ll set up variables that are used in all three methods (and
|
||
later in the notebook).
|
||
|
||
.. code:: ipython3
|
||
|
||
tfull = (tmp-273.15) * units.degC
|
||
t = (tmp2-273.15) * units.degC
|
||
|
||
pfull = prs/100 * units.mbar
|
||
p = prs2/100 * units.mbar
|
||
|
||
u,v = uc*1.94384,vc*1.94384 # m/s to knots
|
||
spd = wind_speed(u*units.knots, v*units.knots)
|
||
dir = wind_direction(u*units.knots, v*units.knots) * units.deg
|
||
|
||
6.2.1 Method 1
|
||
^^^^^^^^^^^^^^
|
||
|
||
Here we’ll calculate the dewpoint using MetPy calculated mixing ratio
|
||
and the vapor pressure.
|
||
|
||
.. code:: ipython3
|
||
|
||
rmix = (sh/(1-sh)) *1000 * units('g/kg')
|
||
e = vapor_pressure(p, rmix)
|
||
td = dewpoint(e)
|
||
|
||
6.2.2 Method 2
|
||
^^^^^^^^^^^^^^
|
||
|
||
Here we’ll calculate dewpoint using MetPy while assuming the mixing
|
||
ratio is equal to the specific humidity.
|
||
|
||
.. code:: ipython3
|
||
|
||
td2 = dewpoint(vapor_pressure(p, sh))
|
||
|
||
6.2.3 Method 3
|
||
^^^^^^^^^^^^^^
|
||
|
||
Here we use logic from the NCEP AWIPS soundingrequest plugin. This logic
|
||
was based on `GEMPAK and NSHARP
|
||
calculations <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>`__.
|
||
|
||
.. code:: ipython3
|
||
|
||
# new arrays
|
||
ntmp = tmp2
|
||
|
||
# where p=pressure(pa), T=temp(C), T0=reference temp(273.16)
|
||
rh = 0.263*prs2*sh / (np.exp(17.67*ntmp/(ntmp+273.15-29.65)))
|
||
vaps = 6.112 * np.exp((17.67 * ntmp) / (ntmp + 243.5))
|
||
vapr = rh * vaps / 100
|
||
dwpc = np.array(243.5 * (np.log(6.112) - np.log(vapr)) / (np.log(vapr) - np.log(6.112) - 17.67)) * units.degC
|
||
|
||
`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
|
||
|
||
--------------
|
||
|
||
7 Plot the Data!
|
||
----------------
|
||
|
||
Create and display SkewT and Hodograph plots using MetPy.
|
||
|
||
Since we’re displaying all three dewpoint plots, we also create a
|
||
“zoomed in” view to highlight the slight differences between the three
|
||
calculations.
|
||
|
||
.. code:: ipython3
|
||
|
||
# Create a new figure and define the size
|
||
fig = plt.figure(figsize=(12, 14))
|
||
|
||
# Create a skewT plot
|
||
skew = SkewT(fig)
|
||
|
||
# Plot the data
|
||
skew.plot(pfull, tfull, 'r', linewidth=2)
|
||
skew.plot(p, td, 'b', linewidth=2)
|
||
skew.plot(p, td2, 'y', linewidth=2)
|
||
skew.plot(p, dwpc, 'g', linewidth=2)
|
||
skew.plot_barbs(pfull, u, v)
|
||
# set the domain and range (these may need to be adjusted
|
||
# depending on the exact data for best viewing purposes)
|
||
skew.ax.set_ylim(1000, 100)
|
||
skew.ax.set_xlim(-70, 40)
|
||
|
||
# Add title to the plot
|
||
# format: "2022-08-18 18Z FH 0 | GFS KFRM (43.65,-94.42)"
|
||
datetime = str(ob.getDataTime())[0:-6]+"Z"
|
||
forecastHr = str(ob.getDataTime().getFcstTime())
|
||
site = ob.getLocationName()
|
||
lat = "{:.2f}".format(ob.getGeometry().y)
|
||
lon = "{:.2f}".format(ob.getGeometry().x)
|
||
coords = "(" + lat + ", " + lon +")"
|
||
|
||
title = datetime + " FH " + forecastHr + " | " + forecastModel + " " + site + " " + coords
|
||
plt.title(title)
|
||
|
||
# Create a secondary axes for the "zoomed in" view
|
||
zoom_ax = inset_axes(skew.ax, '35%', '35%', loc=3,
|
||
bbox_to_anchor=(.05, .05, 1, 1),
|
||
bbox_transform=skew.ax.transAxes)
|
||
# create a secondary plot for zoomed in section
|
||
fig2 = plt.figure()
|
||
skew2 = SkewT(fig2)
|
||
skew2.ax = zoom_ax
|
||
skew2.plot(p, td, 'b', linewidth=2, label='MetPy calculated mixing ratio')
|
||
skew2.plot(p, td2, 'y', linewidth=2, label='MetPy spec. hum = mixing ratio')
|
||
skew2.plot(p, dwpc, 'g', linewidth=2, label='GEMPAK legacy caluclation')
|
||
# create a legend to explain the three lines
|
||
skew2.ax.legend(loc=1)
|
||
# remove the axis title on the zoomed plot since they
|
||
# are redundant and just clutter the plot
|
||
skew2.ax.set_xlabel("")
|
||
skew2.ax.set_ylabel("")
|
||
# these exact bounds may need to change depending on
|
||
# the most recent data
|
||
skew2.ax.set_ylim(970, 900)
|
||
skew2.ax.set_xlim(11, 14)
|
||
|
||
# draw an indicator in the main plot of the "zoomed in" region
|
||
skew.ax.indicate_inset_zoom(zoom_ax, edgecolor="black")
|
||
|
||
# dispose of the second figure, since creating a new
|
||
# skewt in metpy automatically creates a new figure
|
||
# which is unnecessary in this case
|
||
plt.close(fig2)
|
||
|
||
# An example of a slanted line at constant T -- in this case the 0 isotherm
|
||
l = skew.ax.axvline(0, color='c', linestyle='--', linewidth=2)
|
||
|
||
# Draw hodograph
|
||
ax_hod = inset_axes(skew.ax, '40%', '40%', loc=1)
|
||
h = Hodograph(ax_hod, component_range=spd.max()/units.knots)
|
||
h.add_grid(increment=20)
|
||
h.plot_colormapped(u, v, spd)
|
||
|
||
# Show the plot
|
||
plt.show()
|
||
|
||
|
||
|
||
.. image:: Model_Sounding_Data_files/Model_Sounding_Data_34_0.png
|
||
|
||
|
||
`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
|
||
|
||
--------------
|
||
|
||
8 See Also
|
||
----------
|
||
|
||
8.1 Related Notebooks
|
||
~~~~~~~~~~~~~~~~~~~~~
|
||
|
||
- `Grid Levels and
|
||
Parameters <https://unidata.github.io/python-awips/examples/generated/Grid_Levels_and_Parameters.html>`__
|
||
- `Upper Air BUFR
|
||
Soundings <http://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html>`__
|
||
- `Forecast Model Vertical
|
||
Sounding <http://unidata.github.io/python-awips/examples/generated/Forecast_Model_Vertical_Sounding.html>`__
|
||
|
||
8.2 Additional Documentation
|
||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||
|
||
**python-awips:**
|
||
|
||
- `awips.DataAccessLayer <http://unidata.github.io/python-awips/api/DataAccessLayer.html>`__
|
||
- `awips.PyGeometryData <http://unidata.github.io/python-awips/api/PyGeometryData.html>`__
|
||
|
||
**matplotlib:**
|
||
|
||
- `matplotlib.pyplot <https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.html>`__
|
||
- `metpy.skewt <https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html>`__
|
||
|
||
`Top <https://unidata.github.io/python-awips/examples/generated/Model_Sounding_Data.html>`__
|
||
|
||
--------------
|