/
plotSoundP3.py
315 lines (247 loc) · 7.58 KB
/
plotSoundP3.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
"""
Plot NOAA balloon soundings.
Files have extension tsv
Raul Valenzuela
August, 2015
"""
import pandas as pd
import metpy.plots as metplt
import metpy.calc as metcal
from metpy.units import units, concatenate
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import os
from datetime import datetime
import sys
import Thermodyn as thermo
import Meteoframes as mf
from skewt import SkewT as sk
''' set color codes in seaborn '''
sns.set_color_codes()
rc = {'axes.titlesize': 20,
'axes.labelsize': 18,
'ytick.labelsize':16,
'xtick.labelsize':16}
# mpl.rcParams.update(rc)
sns.set(rc=rc)
def main():
''' raf files are created using matlab function
W:/MATLAB/p3_matlab/convert_to_raf_ascii.m '''
f='/home/rvalenzuela/P3_stdtape/ascii/010123I.std.ascii.raf'
ini,end = get_sounding_times()
m=0
for i,e in zip(ini,end):
if m>=0:
sound=mf.parse_acft_sounding(f, i, e, return_interp=True)
# print sound
temp=sound.AIR_TEMP.values #[C]
dewp=sound.DEW_POINT.values #[C]
wspd=sound.WIND_SPD.values
wdir=sound.WIND_DIR.values
u,v = get_components(wspd,wdir)
pres=sound.AIR_PRESS.values
lats=sound.LAT.values
lons=sound.LON.values
hgt=sound.index.values
theta=sound.theta.values
thetaeq=sound.thetaeq.values
bvf_dry=sound.bvf_dry.values
bvf_moist=sound.bvf_moist.values
location=[np.average(lats),np.average(lons)]
# plot_skew1(temp=temp, dewp=dewp, u=u, v=v, press=pres, date=[i, e], loc=location)
plot_skew2(temp=temp, dewp=dewp, u=u, v=v, press=pres, date=[i, e], loc=location, hgt=hgt)
# plot_thermo(temp=temp, dewp=dewp, u=u, v=v, hgt=hgt,theta=theta, thetaeq=thetaeq,
# bvf_dry=bvf_dry, bvf_moist=bvf_moist,press=pres, date=[i, e], loc=location,top=5000)
m+=1
# compare_potential_temp(df,date)
# break
plt.show()
# plt.show(block=False)
# def plot_skew1(**kwargs):
# pres=kwargs['press'] #[hPa]
# TE=kwargs['temp'] # [C]
# TD=kwargs['dewp'] # [C]
# U=kwargs['u'] # [m s-1]
# V=kwargs['v'] # [m s-1]
# date=kwargs['date']
# loc=kwargs['loc']
# if np.amax(TE)>30:
# TE=TE-273.15
# if np.amax(TD)>30:
# TD=TD-273.15
# freq=20
# U2=np.empty(len(U))
# U2[:]=np.NAN
# U2[::freq]=U[::freq]
# V2=np.empty(len(V))
# V2[:]=np.NAN
# V2[::freq]=V[::freq]
# fig = plt.figure(figsize=(9, 9))
# # fig,ax = plt.figure(figsize=(9, 9))
# skew = metplt.SkewT(fig)
# skew.plot(pres, TE, 'r')
# skew.plot(pres, TD, 'g',linestyle='--')
# skew.plot_barbs(pres, U2, V2)
# p0=np.asarray([1000,900,800,700,600])*units.hPa
# t0=np.asarray(range(-10,25,5)) * units.degC
# skew.plot_dry_adiabats(t0=t0,p=p0,linestyle='-',linewidth=0.8)
# skew.plot_moist_adiabats(t0=t0, p=p0,linestyle='-',linewidth=0.8)
# skew.ax.set_ylim(1014, 600)
# skew.ax.set_xlim(-10, 12)
# skew.ax.set_ylabel('Pressure [hPa]')
# skew.ax.set_xlabel('Temperature [degC]')
# l1='Sounding from NOAA P3'
# l2='\nIni: ' + date[0].strftime('%Y-%b-%d %H:%M:%S UTC')
# l3='\nEnd: ' + date[1].strftime('%Y-%b-%d %H:%M:%S UTC')
# l4='\nLat: '+'{:.2f}'.format(loc[0])+' Lon: '+'{:.2f}'.format(loc[1])
# plt.title(l1+l2+l3+l4)
# plt.subplots_adjust(top=0.85)
# plt.draw()
def plot_skew2(**kwargs):
pres=kwargs['press'] #[hPa]
TE=kwargs['temp'] # [C]
TD=kwargs['dewp'] # [C]
U=kwargs['u'] # [m s-1]
V=kwargs['v'] # [m s-1]
date=kwargs['date']
loc=kwargs['loc']
hgt=kwargs['hgt']
TD[TD>TE]=TE[TD>TE]
mydata=dict(zip(('hght','pres','temp','dwpt'),(hgt, pres, TE, TD)))
S=sk.Sounding(soundingdata=mydata)
S.plot_skewt()
plt.draw()
def plot_thermo(**kwargs):
hgt=kwargs['hgt'] #[hPa]
pres=kwargs['press'] #[hPa]
TE=kwargs['temp'] # [C]
TD=kwargs['dewp'] # [C]
U=kwargs['u'] # [m s-1]
V=kwargs['v'] # [m s-1]
date=kwargs['date']
loc=kwargs['loc']
theta=kwargs['theta']
thetaeq=kwargs['thetaeq']
BVFd=kwargs['bvf_dry']
BVFm=kwargs['bvf_moist']
hgt_lim=kwargs['top']
relh=thermo.relative_humidity(C=TE,Dewp=TD)
sat_mixr= thermo.sat_mix_ratio(C=TD, hPa=pres)
mixr = relh*sat_mixr/100.
fig,ax = plt.subplots(1,5,sharey=True,figsize=(11,8.5))
n=0
ax[n].plot(TE,hgt,label='Temp')
ax[n].plot(TD,hgt,label='Dewp')
ax[n].legend()
ax[n].set_xlim([-30,20])
ax[n].set_ylim([0,hgt_lim])
add_minor_grid(ax[n])
ax[n].set_xlabel('T [C]')
ax[n].set_ylabel('Altitude [m]')
n=1
ln1=ax[n].plot(mixr*1000.,hgt,label='mixr')
ax[n].set_xlim([0,8])
ax[n].set_ylim([0,hgt_lim])
add_minor_grid(ax[n])
for label in ax[n].xaxis.get_ticklabels()[::2]:
label.set_visible(False)
ax[n].set_xlabel('MR [g kg-1]')
axt=ax[n].twiny()
ln2=axt.plot(relh,hgt,'g',label='relh')
axt.set_xlim([0,100])
axt.set_ylim([0,hgt_lim])
axt.set_xlabel('RH [%]')
axt.xaxis.set_label_coords(0.5, 1.04)
axt.grid(False)
lns = ln1+ln2
labs = [l.get_label() for l in lns]
axt.legend(lns, labs, loc=0)
n=2
ax[n].plot(theta,hgt,label='Theta')
ax[n].plot(thetaeq,hgt,label='ThetaEq')
ax[n].legend()
ax[n].set_xlim([280,320])
ax[n].set_ylim([0,hgt_lim])
add_minor_grid(ax[n])
for label in ax[n].xaxis.get_ticklabels()[::2]:
label.set_visible(False)
ax[n].set_xlabel('Theta [K]')
n=3
ax[n].plot(U,hgt,label='u')
ax[n].plot(V,hgt,label='v')
ax[n].axvline(x=0,linestyle=':',color='r')
ax[n].legend()
ax[n].set_xlim([-10,40])
ax[n].set_ylim([0,hgt_lim])
add_minor_grid(ax[n])
ax[n].set_xlabel('WS [ms-1]')
n=4
ax[n].plot(BVFd*10000.,hgt,label='dry')
ax[n].plot(BVFm*10000.,hgt,label='moist')
ax[n].axvline(x=0,linestyle=':',color='r')
ax[n].legend(loc=2)
ax[n].set_xlim([-6,6])
ax[n].set_ylim([0,hgt_lim])
add_minor_grid(ax[n])
ax[n].set_xlabel('BVF (x10^-4) [s-1]')
l1='Sounding from NOAA P3'
l2='\nIni: ' + date[0].strftime('%Y-%b-%d %H:%M:%S UTC')
l3='\nEnd: ' + date[1].strftime('%Y-%b-%d %H:%M:%S UTC')
l4='\nLat: '+'{:.2f}'.format(loc[0])+' Lon: '+'{:.2f}'.format(loc[1])
plt.suptitle(l1+l2+l3+l4,horizontalalignment='right',x=0.9)
plt.subplots_adjust(bottom=0.06,top=0.89)
plt.draw()
def add_minor_grid(ax):
# ax.get_xaxis().set_minor_locator(mpl.ticker.AutoMinorLocator())
ax.get_yaxis().set_minor_locator(mpl.ticker.AutoMinorLocator())
ax.grid(b=True, which='major', color='w', linewidth=1.0)
ax.grid(b=True, which='minor', color='w', linewidth=0.5)
def find_nearest2(array,target):
""" See stackoverflow answer from Bi Rico """
''' array must be sorted '''
idx = array.searchsorted(target)
idx = np.clip(idx, 1, len(array)-1)
left = array[idx-1]
right = array[idx]
idx -= target - left < right - target
return idx
def get_components(wspd,wdir):
u = -wspd*np.sin(wdir*np.pi/180.)
v = -wspd*np.cos(wdir*np.pi/180.)
return u,v
def get_sounding_times():
''' sounding times are specified in the
flight level documentation '''
ini = [ datetime(2001,01,23,21,28,20),
datetime(2001,01,23,22,04,00),
datetime(2001,01,23,23,00,00),
datetime(2001,01,23,23,13,30),
datetime(2001,01,23,23,34,30),
datetime(2001,01,23,23,44,20),
datetime(2001,01,23,23,58,00),
datetime(2001,01,24,00,31,40),
datetime(2001,01,24,00,46,30),
datetime(2001,01,24,01,01,40),
datetime(2001,01,24,01,20,20),
datetime(2001,01,24,01,36,10),
datetime(2001,01,24,01,56,20),
datetime(2001,01,24,02,19,00)]
end = [ datetime(2001,01,23,21,31,50),
datetime(2001,01,23,22,06,30),
datetime(2001,01,23,23,04,00),
datetime(2001,01,23,23,17,50),
datetime(2001,01,23,23,38,30),
datetime(2001,01,23,23,53,30),
datetime(2001,01,24,00,00,30),
datetime(2001,01,24,00,33,50),
datetime(2001,01,24,00,48,50),
datetime(2001,01,24,01,03,50),
datetime(2001,01,24,01,26,40),
datetime(2001,01,24,01,39,00),
datetime(2001,01,24,01,59,30),
datetime(2001,01,24,02,24,50)]
return ini,end
''' start '''
main()