oggm.tasks.process_gcm_data(gdir, filesuffix='', prcp=None, temp=None, year_range=('1961', '1990'), scale_stddev=False, time_unit=None, calendar=None)[source]

Applies the anomaly method to GCM climate data

This function can be applied to any GCM data, if it is provided in a suitable xarray.DataArray. See Parameter description for format details.

For CESM-LME a specific function tasks.process_cesm_data() is available which does the preprocessing of the data and subsequently calls this function.

Parameters
gdiroggm.GlacierDirectory

where to write the data

filesuffixstr

append a suffix to the filename (useful for ensemble experiments).

prcpxarray.DataArray
monthly total precipitation [mm month-1]
Coordinates:
lat float64
lon float64
time: cftime object
tempxarray.DataArray
monthly temperature [K]
Coordinates:
lat float64
lon float64
time cftime object
year_rangetuple of str

the year range for which you want to compute the anomalies. Default is (‘1961’, ‘1990’)

scale_stddevbool

whether or not to scale the temperature standard deviation as well

time_unitstr

The unit conversion for NetCDF files. It must be adapted to the length of the time series. The default is to choose it ourselves based on the starting year. For example: ‘days since 0850-01-01 00:00:00’

calendarstr

If you use an exotic calendar (e.g. ‘noleap’)

Notes

Files writen to the glacier directory:
climate_info.pkl

Some information (dictionary) about the climate data and the mass balance parameters for this glacier.

gcm_data.nc

The monthly GCM climate timeseries stored in a netCDF file.