Created
December 11, 2018 22:25
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| #!/usr/bin/env python | |
| import numpy as np | |
| import scipy as sp | |
| import xarray as xr | |
| import netCDF4 | |
| forcing = xr.open_dataset('forcing.nc') | |
| # build xtime | |
| xtime = ['0001-01-01_{:02d}:00:00'.format(atime) for atime in np.arange(24)] | |
| xtime = ['{:64s}'.format(astr) for astr in xtime] | |
| # linear ramp scaling | |
| scaling = np.linspace(0,1.0,len(xtime)).T | |
| # build fields | |
| def make_data_array(values, scaling, forcing): | |
| adjusted = np.sign(values)*np.sqrt(scaling[np.newaxis,:].T*1e3*abs(values)) | |
| return adjusted | |
| windSpeedU = make_data_array(forcing.windStressZonal.values, scaling, forcing) | |
| windSpeedV = make_data_array(forcing.windStressMeridional.values, scaling, forcing) | |
| ncds = netCDF4.Dataset('atmosphere_forcing.nc', 'w') | |
| ncds.createDimension('nCells', len(forcing.nCells)) | |
| ncds.createDimension('StrLen', 64) | |
| ncds.createDimension('Time', None) | |
| time = ncds.createVariable('xtime','S1', ('Time', 'StrLen')) | |
| time[:] = netCDF4.stringtochar(np.asarray(xtime)) | |
| time = ncds.dimensions['Time'].name | |
| ncells = ncds.dimensions['nCells'].name | |
| ncds.createVariable('windSpeedU', np.float64,(time, ncells)) | |
| ncds.createVariable('windSpeedV', np.float64,(time, ncells)) | |
| ncds.variables['windSpeedU'][:,:] = windSpeedU[:,:] | |
| ncds.variables['windSpeedV'][:,:] = windSpeedV[:,:] | |
| ncds.close() |
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