| 1 | """Thin out MOST NetCDF bathymetry and store as nc file |
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| 2 | |
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| 3 | """ |
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| 4 | |
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| 5 | #input_file = 'e5_bathy_corr5.cdf' |
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| 6 | #output_file = 'SU-AU_e.nc' |
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| 7 | |
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| 8 | #This should have a test |
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| 9 | |
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| 10 | def thinbathy(input_file, output_file): |
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| 11 | |
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| 12 | lat_thin = lon_thin = 4 |
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| 13 | |
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| 14 | from Scientific.IO.NetCDF import NetCDFFile |
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| 15 | |
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| 16 | fid = NetCDFFile(input_file, 'r') |
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| 17 | |
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| 18 | latitudes = fid.variables['LAT'][::lat_thin] |
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| 19 | longitudes = fid.variables['LON'][::lon_thin] |
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| 20 | elevations = fid.variables['ELEVATION'][::lat_thin,::lon_thin] |
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| 21 | |
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| 22 | outfile = NetCDFFile(output_file, 'w') |
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| 23 | outfile.createDimension('LON', fid.dimensions['LON']/lon_thin) # + 1) |
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| 24 | outfile.createDimension('LAT', fid.dimensions['LAT']/lat_thin) # + 1) |
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| 25 | |
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| 26 | import Numeric |
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| 27 | outfile.createVariable('LON', Numeric.Float64, ('LON',)) |
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| 28 | outfile.createVariable('LAT', Numeric.Float64, ('LAT',)) |
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| 29 | outfile.createVariable('ELEVATION', Numeric.Float32, ('LAT', 'LON')) |
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| 30 | |
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| 31 | #Assign to NC file |
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| 32 | #Precision used by MOST for lat/lon is 4 or 5 decimals |
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| 33 | outfile.variables['LAT'][:] = Numeric.around(latitudes, 5) |
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| 34 | outfile.variables['LON'][:] = Numeric.around(longitudes, 5) |
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| 35 | outfile.variables['ELEVATION'][:] = elevations |
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| 36 | |
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| 37 | fid.close() |
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| 38 | outfile.close() |
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