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<h1>Upper air BUFR Soundings</h1>
<p>The following script takes you through the steps of retrieving an Upper Air vertical profile from an AWIPS EDEX server and plotting a Skew-T/Log-P chart with Matplotlib and MetPy.</p>
<p>The <strong>bufrua</strong> plugin returns separate objects for parameters at <strong>mandatory levels</strong> and at <strong>significant temperature levels</strong>. For the Skew-T/Log-P plot, significant temperature levels are used to plot the pressure, temperature, and dewpoint lines, while mandatory levels are used to plot the wind profile.</p>
<pre><code class="python">%matplotlib inline
from awips.dataaccess import DataAccessLayer
import matplotlib.tri as mtri
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
import numpy as np
import math
from metpy.calc import get_wind_speed, get_wind_components, lcl, dry_lapse, parcel_profile
from metpy.plots import SkewT, Hodograph
from metpy.units import units, concatenate
# Set host
DataAccessLayer.changeEDEXHost(&quot;edex-cloud.unidata.ucar.edu&quot;)
request = DataAccessLayer.newDataRequest()
# Set data type
request.setDatatype(&quot;bufrua&quot;)
availableLocs = DataAccessLayer.getAvailableLocationNames(request)
availableLocs.sort()
# Set Mandatory and Significant Temperature level parameters
MAN_PARAMS = set(['prMan', 'htMan', 'tpMan', 'tdMan', 'wdMan', 'wsMan'])
SIGT_PARAMS = set(['prSigT', 'tpSigT', 'tdSigT'])
request.setParameters(&quot;wmoStaNum&quot;, &quot;validTime&quot;, &quot;rptType&quot;, &quot;staElev&quot;, &quot;numMand&quot;,
&quot;numSigT&quot;, &quot;numSigW&quot;, &quot;numTrop&quot;, &quot;numMwnd&quot;, &quot;staName&quot;)
request.getParameters().extend(MAN_PARAMS)
request.getParameters().extend(SIGT_PARAMS)
# Set station ID (not name)
request.setLocationNames(&quot;72562&quot;) #KLBF
# Get all times
datatimes = DataAccessLayer.getAvailableTimes(request)
# Get most recent record
response = DataAccessLayer.getGeometryData(request,times=datatimes[-1].validPeriod)
# Initialize data arrays
tdMan,tpMan,prMan,wdMan,wsMan = np.array([]),np.array([]),np.array([]),np.array([]),np.array([])
prSig,tpSig,tdSig = np.array([]),np.array([]),np.array([])
manGeos = []
sigtGeos = []
# Build arrays
for ob in response:
if set(ob.getParameters()) &amp; MAN_PARAMS:
manGeos.append(ob)
prMan = np.append(prMan,ob.getNumber(&quot;prMan&quot;))
tpMan = np.append(tpMan,ob.getNumber(&quot;tpMan&quot;))
tdMan = np.append(tdMan,ob.getNumber(&quot;tdMan&quot;))
wdMan = np.append(wdMan,ob.getNumber(&quot;wdMan&quot;))
wsMan = np.append(wsMan,ob.getNumber(&quot;wsMan&quot;))
continue
if set(ob.getParameters()) &amp; SIGT_PARAMS:
sigtGeos.append(ob)
prSig = np.append(prSig,ob.getNumber(&quot;prSigT&quot;))
tpSig = np.append(tpSig,ob.getNumber(&quot;tpSigT&quot;))
tdSig = np.append(tdSig,ob.getNumber(&quot;tdSigT&quot;))
continue
# Sort mandatory levels (but not sigT levels) because of the 1000.MB interpolation inclusion
ps = prMan.argsort()[::-1]
wpres = prMan[ps]
direc = wdMan[ps]
spd = wsMan[ps]
tman = tpMan[ps]
dman = tdMan[ps]
# Flag missing data
prSig[prSig &lt;= -9999] = np.nan
tpSig[tpSig &lt;= -9999] = np.nan
tdSig[tdSig &lt;= -9999] = np.nan
wpres[wpres &lt;= -9999] = np.nan
tman[tman &lt;= -9999] = np.nan
dman[dman &lt;= -9999] = np.nan
direc[direc &lt;= -9999] = np.nan
spd[spd &lt;= -9999] = np.nan
# assign units
p = (prSig/100) * units.mbar
T = (tpSig-273.15) * units.degC
Td = (tdSig-273.15) * units.degC
wpres = (wpres/100) * units.mbar
tman = tman * units.degC
dman = dman * units.degC
u,v = get_wind_components(spd, np.deg2rad(direc))
# Create SkewT/LogP
plt.rcParams['figure.figsize'] = (8, 10)
skew = SkewT()
skew.plot(p, T, 'r', linewidth=2)
skew.plot(p, Td, 'g', linewidth=2)
skew.plot_barbs(wpres, u, v)
skew.ax.set_ylim(1000, 100)
skew.ax.set_xlim(-30, 30)
title_string = &quot; T(F) Td &quot;
title_string += &quot; &quot; + str(ob.getString(&quot;staName&quot;))
title_string += &quot; &quot; + str(ob.getDataTime().getRefTime())
title_string += &quot; (&quot; + str(ob.getNumber(&quot;staElev&quot;)) + &quot;m elev)&quot;
title_string += &quot;\n&quot; + str(round(T[0].to('degF').item(),1))
title_string += &quot; &quot; + str(round(Td[0].to('degF').item(),1))
plt.title(title_string, loc='left')
# Calculate LCL height and plot as black dot
l = lcl(p[0], T[0], Td[0])
lcl_temp = dry_lapse(concatenate((p[0], l)), T[0])[-1].to('degC')
skew.plot(l, lcl_temp, 'ko', markerfacecolor='black')
# Calculate full parcel profile and add to plot as black line
prof = parcel_profile(p, T[0], Td[0]).to('degC')
skew.plot(p, prof, 'k', linewidth=2)
# 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, '30%', '30%', loc=3)
h = Hodograph(ax_hod, component_range=max(wsMan))
h.add_grid(increment=20)
h.plot_colormapped(u, v, spd)
# Show the plot
plt.show()
</code></pre>
<p><img alt="png" src="../../images/output_1_0.png" /></p>
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