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| Deletions are marked like this. | Additions are marked like this. |
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| #from mpl_toolkits.basemap import Basemap | from mpl_toolkits.basemap import Basemap |
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| # Ausschnitt definieren sued=30 nord=0 west=130 ost=180 # Kartendarstellung # global figure(1) imshow(Temp[0,:,:],vmin=170,vmax=300) colorbar() show() # Ausschnitt figure(2) imshow(Temp[0,nord:sued,west:ost],vmin=170,vmax=300) colorbar() show() |
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| testnan=Temp[0,nord:sued,west:ost] | testnan=Temp[0,:,:] |
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| # Temperaturprofil figure(3) |
# Temperaturprofile figure(1) |
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| plot(Temp[:,30,150],Lv) | plot(Temp[:,16,165],Lv) |
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| title('over ice, lat=-15,lon=74') | |
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| plot(Temp[:,25,150],Lv) | plot(Temp[:,16,192],Lv) |
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| title('over open water, lat=12,lon=74') | |
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| savefig('Soundings.png',dpi=75) # Kartendarstellung der vorhandenen Profile figure(2) m = Basemap(width=2400000,height=1600000,projection='stere',lat_ts=77.0,lon_0=15.0,lat_0=77.0,resolution='l') m.drawcoastlines() for i in range(0,30): for j in range(160,200): if testnan[i,j]==0: x,y=m(j-180.,90.-i) m.plot(x,y,'r.') x,y=m(-3.,77.) m.plot(x,y,'b.') x,y=m(10.,77.) m.plot(x,y,'b.') title('grid points with profiles(red), spectrum (blue)') show() savefig('Map.png',dpi=75) |
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| * MISSING Values - (./) | * Karte mit vorhandenen Profilen - (./) |
Daten
Temperaturprofile: AIRS
Hilfreiche Links:
Skript
1 #!/bin/tcsh
2
3 from pyhdf import SD
4 from pylab import *
5 from mpl_toolkits.basemap import Basemap
6
7 fid=SD.SD('AIRS.2003.03.30.L3.RetStd001.v5.0.14.0.G07215021620.hdf')
8 T=fid.select('Temperature_A')
9 Temp=T.get()
10
11
12 #Drucklevel
13 Lv=[1000.0,925.0,850.0,700.0,600.0,500.0,400.0,300.0,250.0,200.0,150.0,100.0,
14 70.0, 50.0,30.0, 20.0, 15.0, 10.0, 7.0,5.0, 3.0,2.0,1.5,1.0]
15
16
17 # Fehlende Profile finden - Wert 1
18 testnan=Temp[0,:,:]
19 testnan=testnan<0
20
21 # Temperaturprofile
22 figure(1)
23 subplot(1,2,1)
24 plot(Temp[:,16,165],Lv)
25 ylim((1000.0,1.0))
26 title('over ice, lat=-15,lon=74')
27 show()
28 subplot(1,2,2)
29 plot(Temp[:,16,192],Lv)
30 ylim((1000.0,1.0))
31 title('over open water, lat=12,lon=74')
32 show()
33 savefig('Soundings.png',dpi=75)
34
35 # Kartendarstellung der vorhandenen Profile
36 figure(2)
37 m = Basemap(width=2400000,height=1600000,projection='stere',lat_ts=77.0,lon_0=15.0,lat_0=77.0,resolution='l')
38 m.drawcoastlines()
39
40 for i in range(0,30):
41 for j in range(160,200):
42 if testnan[i,j]==0:
43 x,y=m(j-180.,90.-i)
44 m.plot(x,y,'r.')
45
46 x,y=m(-3.,77.)
47 m.plot(x,y,'b.')
48 x,y=m(10.,77.)
49 m.plot(x,y,'b.')
50 title('grid points with profiles(red), spectrum (blue)')
51
52 show()
53 savefig('Map.png',dpi=75)
Drucklevel:
Index of T |
|
Levels |
in mb of T Levels |
1 |
1000.0 |
2 |
925.0 |
3 |
850.0 |
4 |
700.0 |
5 |
600.0 |
6 |
500.0 |
7 |
400.0 |
8 |
300.0 |
9 |
250.0 |
10 |
200.0 |
11 |
150.0 |
12 |
100.0 |
13 |
70.0 |
14 |
50.0 |
15 |
30.0 |
16 |
20.0 |
17 |
15.0 |
18 |
10.0 |
19 |
7.0 |
20 |
5.0 |
21 |
3.0 |
22 |
2.0 |
23 |
1.5 |
24 |
1 |
Notizen
Drucklevels -
Karte mit vorhandenen Profilen -
- Koordinaten - von der Grenzschichtgruppe
- Profile plotten - formal ok
- Grenzschichtdicke in hPa bestimmen - sind überhaupt Inversionen sichtbar? - Bodendruck herausfinden
- Grenzschichtdicke in Meter umrechnen (barometrische Höhenformel)
