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							34 lines
						
					
					
						
							1.1 KiB
						
					
					
				| from netCDF4 import Dataset as NetCDF | |
|  | |
| f = "/Users/ladwig/Documents/wrf_files/wrfout_d01_2016-02-25_18_00_00" | |
| outfilename = "/Users/ladwig/Documents/wrf_files/rotated_pole_test.nc" | |
|  | |
| in_nc = NetCDF(f, mode='r', format="NETCDF3_CLASSIC") | |
| out_nc = NetCDF(outfilename, mode='w', format="NETCDF3_CLASSIC") | |
|  | |
| # Copy Global Attributes | |
| for att_name in in_nc.ncattrs(): | |
|     setattr(out_nc, att_name, getattr(in_nc, att_name)) | |
|  | |
| # Copy Dimensions, but modify the vertical dimensions | |
| for dimname, dim in in_nc.dimensions.iteritems(): | |
|     out_nc.createDimension(dimname, len(dim)) | |
|  | |
| # Copy Variables and their Attributes, using the reduced vertical dimension | |
| for varname, var in in_nc.variables.iteritems(): | |
|     if varname in ("T2", "XLAT", "XLONG", "XTIME"): | |
|         datatype = var.datatype | |
|         dimensions = var.dimensions | |
|         shape = var.shape | |
|  | |
|         new_shape = shape | |
|  | |
|         new_var = out_nc.createVariable(varname, datatype, dimensions) | |
|  | |
|         new_var[:] = var[:] | |
|  | |
|         for att_name in var.ncattrs(): | |
|             setattr(new_var, att_name, getattr(var, att_name)) | |
|  | |
| in_nc.close() | |
| out_nc.close()
 | |
| 
 |