| 1 | ''' |
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| 2 | Generate a test increments file |
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| 3 | and the SlaReference file |
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| 4 | |
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| 5 | Requires coordinates and depth file |
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| 6 | |
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| 7 | D. J. Lea Sep 2014 |
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| 8 | ''' |
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| 9 | |
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| 10 | import netCDF4 |
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| 11 | import numpy as np |
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| 12 | |
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| 13 | # example files to get lon and lat |
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| 14 | exdir='/hpc/data/nwp/ofrd/frld/FORCING/ORCA2_LIM_nemo_v3.6' |
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| 15 | exfile1='coordinates.nc' |
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| 16 | |
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| 17 | infile1=exdir+'/'+exfile1 |
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| 18 | fileid=netCDF4.Dataset(infile1, mode='r') |
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| 19 | nav_lon=fileid.variables['nav_lon'][:,:] |
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| 20 | nav_lat=fileid.variables['nav_lat'][:,:] |
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| 21 | fileid.close |
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| 22 | |
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| 23 | print np.shape(nav_lon) |
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| 24 | |
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| 25 | exfile2='data_1m_potential_temperature_nomask.nc' |
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| 26 | infile2=exdir+'/'+exfile2 |
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| 27 | fileid=netCDF4.Dataset(infile2, mode='r') |
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| 28 | nav_lev=fileid.variables['depth'][:] |
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| 29 | fileid.close() |
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| 30 | |
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| 31 | nshp=np.shape(nav_lon) |
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| 32 | ny=nshp[0] |
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| 33 | nx=nshp[1] |
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| 34 | nz=np.size(nav_lev) |
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| 35 | nt=1 |
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| 36 | |
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| 37 | #create a new file |
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| 38 | outdir='.' |
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| 39 | outfile='assim_background_increments_test.nc' |
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| 40 | |
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| 41 | print "creating: ",outfile |
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| 42 | ncfile=netCDF4.Dataset(outdir+'/'+outfile, mode='w', format='NETCDF3_CLASSIC') |
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| 43 | ncfile.createDimension('x',nx) |
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| 44 | ncfile.createDimension('y',ny) |
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| 45 | ncfile.createDimension('z',nz) |
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| 46 | ncfile.createDimension('t',size=0) |
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| 47 | ncnav_lat = ncfile.createVariable('nav_lat','f4',('y','x')) |
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| 48 | ncnav_lat[:,:]=nav_lat |
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| 49 | ncnav_lon = ncfile.createVariable('nav_lon','f4',('y','x')) |
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| 50 | ncnav_lon[:,:]=nav_lon |
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| 51 | ncnav_lev = ncfile.createVariable('nav_lev','f4',('z')) |
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| 52 | ncnav_lev[:]=nav_lev |
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| 53 | ncvar = ncfile.createVariable('bckineta','f8',('t','y','x')) |
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| 54 | ncvar[0,:,:]=0.1 |
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| 55 | ncvar = ncfile.createVariable('bckins','f8',('t','z','y','x')) |
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| 56 | ncvar[0,:,:,:]=0.1 |
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| 57 | ncvar = ncfile.createVariable('bckint','f8',('t','z','y','x')) |
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| 58 | ncvar[0,:,:,:]=0.1 |
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| 59 | ncvar = ncfile.createVariable('bckinu','f8',('t','z','y','x')) |
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| 60 | ncvar[0,:,:,:]=0.1 |
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| 61 | ncvar = ncfile.createVariable('bckinv','f8',('t','z','y','x')) |
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| 62 | ncvar[0,:,:,:]=0.1 |
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| 63 | ncvar = ncfile.createVariable('bckinseaice','f8',('t','y','x')) |
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| 64 | ncvar[0,:,:]=0.1 |
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| 65 | ncvar = ncfile.createVariable('bckinsshobias','f8',('t','y','x')) |
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| 66 | ncvar[0,:,:]=0.1 |
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| 67 | ncvar = ncfile.createVariable('time_counter','f8',('t')) |
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| 68 | ncvar[0]=0 |
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| 69 | ncvar = ncfile.createVariable('time','f8') |
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| 70 | ncvar[:]=10101 |
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| 71 | ncvar = ncfile.createVariable('z_inc_dateb','f8') |
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| 72 | ncvar[:]=10101 |
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| 73 | ncvar = ncfile.createVariable('z_inc_datef','f8') |
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| 74 | ncvar[:]=10102 |
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| 75 | |
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| 76 | |
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| 77 | ncfile.close() |
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| 78 | |
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| 79 | #create sla reference file |
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| 80 | outfile='slaReferenceLevel_test.nc' |
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| 81 | |
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| 82 | print "creating: ",outfile |
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| 83 | ncfile=netCDF4.Dataset(outdir+'/'+outfile, mode='w', format='NETCDF3_CLASSIC') |
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| 84 | ncfile.createDimension('x',nx) |
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| 85 | ncfile.createDimension('y',ny) |
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| 86 | ncnav_lat = ncfile.createVariable('nav_lat','f4',('y','x')) |
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| 87 | ncnav_lat[:,:]=nav_lat |
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| 88 | ncnav_lon = ncfile.createVariable('nav_lon','f4',('y','x')) |
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| 89 | ncnav_lon[:,:]=nav_lon |
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| 90 | ncvar = ncfile.createVariable('sossheig','f4',('y','x'),fill_value=1e20) |
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| 91 | ncvar[:,:]=0.01 |
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| 92 | |
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| 93 | ncfile.close() |
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