output_file = output_dir + "regridded_" + input_file
## Find new drive_file entry
if date not in drive_date:
drive_date.append(date)
fname = '%vv/%vv'.join(output_file.split(cube.var_name))
fnames.append(fname)
## Regrid and output climate
output_data = cube.regrid( mask, iris.analysis.Nearest())
if not path.isdir(output_dir): mkdir(output_dir)
iris.save(output_data, output_file)
output = Dataset(output_file, 'r+', format='NETCDF4')
output.regridding = info
output.close()
## Output drive_file
drive_date = sorted(drive_date)
fnames = sorted(fnames)
drive_info = '\n'.join("'" + getcwd() + '/' + a + "', '" + b + "'" for a,b in zip(fnames, drive_date))
drive_file = open("outputs/drive_file.txt", "w")
drive_file.write(drive_info)
drive_file.close()
