|
Size: 3380
Comment:
|
Size: 2756
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 13: | Line 13: |
| == Example: ARGO floats == | == Example data from Argo system == |
| Line 15: | Line 15: |
| http://en.wikipedia.org/wiki/Argo_%28oceanography%29 | [[http://en.wikipedia.org/wiki/Argo_%28oceanography%29|Argo observation system]] |
| Line 19: | Line 19: |
| First we have to download the data. Here is a script that can be used to download one month of data in a temporary directory called {{{tmp_dir}}}: | First we have to download the data. Here is a [[/download script]] that can be used to retrieve one month of Argo data. |
| Line 21: | Line 21: |
| {{{#!python #!/usr/bin/env python import os,os.path from ftplib import FTP |
We extract only the surface temperature to reduce the large amount of data. The next script generates an overview of the data and writes the surface temperature in a file [[attachment:lat_lon_T.tab]] which contains latitude, longitude and surface temperature. We can use this file in the following. |
| Line 26: | Line 23: |
| tmp_dir='/scratch/clisap/seaice/TMP/u242023/ARGO/' ftp_adr='ftp.ifremer.fr' ftp_dir='/ifremer/argo/geo/atlantic_ocean/2011/01/' ftp = FTP(ftp_adr) # connect to host, default port ftp.login() # user anonymous, passwd anonymous@ ftp.cwd(ftp_dir) file_list=ftp.nlst() for f in file_list: urlfile='ftp://'+ftp_adr+ftp_dir+f localfile=tmp_dir+f if not(os.path.exists(localfile)): print 'Getting file '+f #We use curl instead of ftp.retrbinary for download os.system("curl -s -k -o "+localfile+" "+urlfile) else: print 'file '+f+' exists' ftp.close() }}} The next script generates an overview of the data and writes the surface temperature in a file called {{{lat_lon_T.tab}}} which contains latitude, longitude and surface temperature. [[attachment:lat_lon_T.tab]] |
2-dimensional interpolation and gridding
2-dimensional interpolation and gridding is a common problem for the representation of measurements on a map. Usually measurements are taken at irregular sample points and not in a regular grid. There are various approaches for the problem and the best solution depends on the data.
In the following we will look at oceanographic parameters that have been measured with the Argo system.
Example data from Argo system
Data are provided at, i.e. ftp://ftp.ifremer.fr//ifremer/argo/
First we have to download the data. Here is a /download script that can be used to retrieve one month of Argo data.
We extract only the surface temperature to reduce the large amount of data. The next script generates an overview of the data and writes the surface temperature in a file lat_lon_T.tab which contains latitude, longitude and surface temperature. We can use this file in the following.
1 import scipy.io as io
2 import glob
3 from pylab import *
4 from mpl_toolkits.basemap import Basemap
5
6 tmp_dir='/scratch/clisap/seaice/TMP/u242023/ARGO/'
7
8
9 file_liste=glob.glob(tmp_dir+'*.nc')
10 D={}# Empty dictionary to store selected profiles
11 for f in file_liste:# Loop over all data
12
13
14 # Open netcdf data file
15 fid=io.netcdf_file(f,'r')
16
17 # Read content into variables
18 lat=fid.variables['LATITUDE'][:].copy()
19 lon=fid.variables['LONGITUDE'][:].copy()
20 T=fid.variables['TEMP'][:].copy()
21 P=fid.variables['PRES'][:].copy()
22
23 T[T>=99999]=nan # Set 99999.0 to "Not a Number"
24 P[P>=99999]=nan
25
26 (nr_profs,Z)=T.shape # Get dimension
27
28 for i in range(nr_profs):
29 D[(lon[i],lat[i])]=(T[i,:],P[i,:])
30
31 # Close data file
32 fid.close()
33
34 fid=open('lat_lon_T.tab','w')
35 for k in D.keys():# write position (lat,lon), surface temperature to file
36 fid.write(str(k[0])+'\t'+str(k[1])+'\t'+str(D[k][0][0])+'\n')
37 fid.close()
38 stop
39
40
41 # Draw map of positions
42 m = Basemap(projection='ortho',lon_0=-45,lat_0=0,resolution='l')
43 m.bluemarble()
44 for lon,lat in D.keys():
45 x,y=m(lon,lat) # Coordinate transfer
46 m.plot(x,y,'r.')
47
48 savefig('argo_position.png',dpi=150)
49
50 # Plot profiles
51 figure()
52 for k in D.keys():
53 # print k
54 plot(D[k][0][:],D[k][1][:])
55 axis([-2,30,2000,0])
56 xlabel('T')
57 ylabel('P')
58 show()
59 savefig('Argo_plot.png',dpi=75)