gldas_mean_monthly.py

  • Reads GLDAS monthly datafiles to calculate the multi-annual mean total water storage from soil moisture, snow water equivalent and total canopy storage [20, 26]

Source code

Calling Sequence

usage: gldas_mean_monthly.py [-h] [--directory DIRECTORY] [--mean START END]
                             [--version VERSION] [--spacing {10,025}]
                             [--format {ascii,netCDF4,HDF5}] [--verbose]
                             [--mode MODE]
                             {CLM,CLSM,MOS,NOAH,VIC} [{CLM,CLSM,MOS,NOAH,VIC} ...]

Positional Arguments

model

Possible choices: CLM, CLSM, MOS, NOAH, VIC

GLDAS land surface model

  • 'CLM': GLDAS Community Land Model

  • 'CLSM': GLDAS Catchment Land Surface Model

  • 'MOS': GLDAS Mosaic model

  • 'NOAH': GLDAS Noah model

  • 'VIC': GLDAS Variable Infiltration Capacity model

Named Arguments

--directory, -D

Working data directory

--mean, -m

Start and end year range for mean

--version, -v

GLDAS model version

--spacing, -S

Possible choices: 10, 025

Spatial resolution of models to run

  • '10': 1.0 degrees latitude/longitude

  • '025': 0.25 degrees latitude/longitude

--format, -F

Possible choices: ascii, netCDF4, HDF5

Input and output data format

--verbose, -V

Verbose output of processing run

--mode, -M

Permission mode of directories and files