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_sources/examples/generated/Upper_Air_BUFR_Soundings.rst.txt
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@ -110,12 +110,12 @@ were both mentioned in the `objectives
section <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#objectives>`__ section <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html#objectives>`__
above. above.
Also request the station name and ID to use in the figure title later Also request the station name and elevation to use in the figure title
on. later on.
.. code:: ipython3 .. code:: ipython3
MAN_PARAMS = set(['prMan', 'tpMan', 'tdMan', 'wdMan', 'wsMan']) MAN_PARAMS = set(['prMan', 'wdMan', 'wsMan'])
SIGT_PARAMS = set(['prSigT', 'tpSigT', 'tdSigT']) SIGT_PARAMS = set(['prSigT', 'tpSigT', 'tdSigT'])
request.setParameters("staElev", "staName") request.setParameters("staElev", "staName")
request.getParameters().extend(MAN_PARAMS) request.getParameters().extend(MAN_PARAMS)
@ -144,7 +144,7 @@ ID you’re interested in is.
.. parsed-literal:: .. parsed-literal::
['21824', '21946', '24266', '24343', '24641', '24688', '24959', '25123', '25703', '25913', '31004', '31088', '31300', '31369', '31510', '31538', '31770', '31873', '32061', '32098', '32150', '32389', '32477', '32540', '32618', '47122', '47138', '47158', '47401', '47412', '47582', '47646', '47678', '47807', '47827', '47909', '47918', '47945', '47971', '47991', '70026', '70133', '70200', '70219', '70231', '70261', '70273', '70308', '70316', '70326', '70350', '70361', '70398', '70414', '71043', '71081', '71082', '71109', '71119', '71603', '71722', '71802', '71811', '71815', '71816', '71823', '71845', '71867', '71906', '71907', '71909', '71913', '71917', '71924', '71925', '71926', '71934', '71945', '71957', '71964', '72201', '72202', '72206', '72208', '72210', '72214', '72215', '72230', '72233', '72235', '72240', '72248', '72249', '72250', '72251', '72261', '72265', '72274', '72293', '72305', '72317', '72318', '72327', '72340', '72357', '72363', '72364', '72365', '72376', '72381', '72388', '72393', '72402', '72403', '72426', '72440', '72451', '72456', '72469', '72476', '72489', '72493', '72501', '72518', '72520', '72528', '72558', '72562', '72572', '72582', '72597', '72632', '72634', '72645', '72649', '72659', '72662', '72672', '72681', '72694', '72712', '72747', '72764', '72768', '72776', '72786', '72797', '74004', '74005', '74006', '74389', '74455', '74560', '74794', '78016', '78384', '78397', '78486', '78526', '78583', '78866', '78954', '78970', '78988', '80001', '91165', '91212', '91285', '91334', '91348', '91366', '91376', '91408', '91413', '91610', '91643', '91680', '91765', '94120', '94203', '94299', '94332', '94461', '94510', '94578', '94637', '94638', '94653', '94659', '94672', '94711', '94776', '94995', '94996'] ['21824', '21946', '24266', '24343', '24641', '24688', '24959', '25123', '25703', '25913', '31004', '31088', '31300', '31369', '31510', '31538', '31770', '31873', '32061', '32098', '32150', '32389', '32477', '32540', '32618', '47122', '47138', '47158', '47401', '47412', '47582', '47646', '47678', '47807', '47827', '47909', '47918', '47945', '47971', '47991', '70026', '70133', '70200', '70219', '70231', '70261', '70273', '70308', '70316', '70326', '70350', '70361', '70398', '70414', '71043', '71081', '71082', '71109', '71119', '71603', '71722', '71802', '71811', '71815', '71816', '71823', '71845', '71867', '71906', '71907', '71909', '71913', '71917', '71924', '71925', '71926', '71934', '71945', '71957', '71964', '72201', '72202', '72206', '72208', '72210', '72214', '72215', '72221', '72230', '72233', '72235', '72240', '72248', '72249', '72250', '72251', '72261', '72265', '72274', '72293', '72305', '72317', '72318', '72327', '72340', '72357', '72363', '72364', '72365', '72376', '72381', '72388', '72393', '72402', '72403', '72426', '72440', '72451', '72456', '72469', '72476', '72489', '72493', '72501', '72518', '72520', '72528', '72558', '72562', '72572', '72582', '72597', '72632', '72634', '72645', '72649', '72659', '72662', '72672', '72681', '72694', '72712', '72747', '72764', '72768', '72776', '72786', '72797', '74004', '74005', '74389', '74455', '74560', '74794', '78016', '78384', '78397', '78486', '78526', '78583', '78866', '78954', '78970', '78988', '80001', '91165', '91212', '91285', '91334', '91348', '91366', '91376', '91408', '91413', '91610', '91643', '91680', '91765', '94120', '94203', '94299', '94332', '94461', '94510', '94578', '94637', '94638', '94653', '94659', '94672', '94711', '94776', '94996']
2.4 Setting the Location Name 2.4 Setting the Location Name
@ -203,13 +203,13 @@ help verify we received the data we were interested in.
.. parsed-literal:: .. parsed-literal::
parms = ['staElev', 'staName'] parms = ['tpSigT', 'prSigT', 'tdSigT']
site = 72562 site = 72562
geom = POINT (-100.7005615234375 41.14971923828125) geom = POINT (-100.7005615234375 41.14971923828125)
datetime = 2023-05-19 12:00:00 datetime = 2023-05-25 12:00:00
reftime = May 19 23 12:00:00 GMT reftime = May 25 23 12:00:00 GMT
fcstHour = 0 fcstHour = 0
period = (May 19 23 12:00:00 , May 19 23 12:00:00 ) period = (May 25 23 12:00:00 , May 25 23 12:00:00 )
`Top <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html>`__ `Top <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html>`__
@ -226,13 +226,13 @@ we now have a ``response`` object we can work with.
~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~
Here we construct arrays for each parameter to plot (temperature, Here we construct arrays for each parameter to plot (temperature,
pressure, and wind components). After populating each of the arrays, we dewpoint, pressure, and wind components). After populating each of the
sort and mask missing data. arrays, we sort and mask missing data.
.. code:: ipython3 .. code:: ipython3
# Initialize data arrays # Initialize data arrays
tdMan,tpMan,prMan,wdMan,wsMan = np.array([]),np.array([]),np.array([]),np.array([]),np.array([]) prMan,wdMan,wsMan = np.array([]),np.array([]),np.array([])
prSig,tpSig,tdSig = np.array([]),np.array([]),np.array([]) prSig,tpSig,tdSig = np.array([]),np.array([]),np.array([])
manGeos = [] manGeos = []
sigtGeos = [] sigtGeos = []
@ -243,8 +243,6 @@ sort and mask missing data.
if set(parm_array) & MAN_PARAMS: if set(parm_array) & MAN_PARAMS:
manGeos.append(ob) manGeos.append(ob)
prMan = np.append(prMan,ob.getNumber("prMan")) prMan = np.append(prMan,ob.getNumber("prMan"))
tpMan, tpUnit = np.append(tpMan,ob.getNumber("tpMan")), ob.getUnit("tpMan")
tdMan, tdUnit = np.append(tdMan,ob.getNumber("tdMan")), ob.getUnit("tdMan")
wdMan = np.append(wdMan,ob.getNumber("wdMan")) wdMan = np.append(wdMan,ob.getNumber("wdMan"))
wsMan, wsUnit = np.append(wsMan,ob.getNumber("wsMan")), ob.getUnit("wsMan") wsMan, wsUnit = np.append(wsMan,ob.getNumber("wsMan")), ob.getUnit("wsMan")
continue continue
@ -252,6 +250,7 @@ sort and mask missing data.
sigtGeos.append(ob) sigtGeos.append(ob)
prSig = np.append(prSig,ob.getNumber("prSigT")) prSig = np.append(prSig,ob.getNumber("prSigT"))
tpSig = np.append(tpSig,ob.getNumber("tpSigT")) tpSig = np.append(tpSig,ob.getNumber("tpSigT"))
tpUnit = ob.getUnit("tpSigT")
tdSig = np.append(tdSig,ob.getNumber("tdSigT")) tdSig = np.append(tdSig,ob.getNumber("tdSigT"))
continue continue
@ -260,16 +259,12 @@ sort and mask missing data.
wpres = prMan[ps] wpres = prMan[ps]
direc = wdMan[ps] direc = wdMan[ps]
spd = wsMan[ps] spd = wsMan[ps]
tman = tpMan[ps]
dman = tdMan[ps]
# Flag missing data # Flag missing data
prSig[prSig <= -9999] = np.nan prSig[prSig <= -9999] = np.nan
tpSig[tpSig <= -9999] = np.nan tpSig[tpSig <= -9999] = np.nan
tdSig[tdSig <= -9999] = np.nan tdSig[tdSig <= -9999] = np.nan
wpres[wpres <= -9999] = np.nan wpres[wpres <= -9999] = np.nan
tman[tman <= -9999] = np.nan
dman[dman <= -9999] = np.nan
direc[direc <= -9999] = np.nan direc[direc <= -9999] = np.nan
spd[spd <= -9999] = np.nan spd[spd <= -9999] = np.nan
@ -277,9 +272,9 @@ sort and mask missing data.
~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~
We need to modify the units several of the data parameters are returned We need to modify the units several of the data parameters are returned
in. Here we convert Temperature from Fahrenheit to Celcius, convert in. Here we convert the units for Temperature and Dewpoint from Kelvin
pressure to milibars, and extract wind for both the u and v directional to Celsius, convert pressure to milibars, and extract wind for both the
components in Knots and Radians. u and v directional components in Knots and Radians.
.. code:: ipython3 .. code:: ipython3
@ -291,8 +286,6 @@ components in Knots and Radians.
if tpUnit == 'K': if tpUnit == 'K':
T = (tpSig-273.15) * units.degC T = (tpSig-273.15) * units.degC
Td = (tdSig-273.15) * units.degC Td = (tdSig-273.15) * units.degC
tman = tman * units.degC
dman = dman * units.degC
`Top <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html>`__ `Top <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html>`__
@ -388,4 +381,3 @@ Create and display SkewT and Hodograph plots using MetPy.
`Top <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html>`__ `Top <https://unidata.github.io/python-awips/examples/generated/Upper_Air_BUFR_Soundings.html>`__
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