oggm.tasks.process_monthly_isimip_data

oggm.tasks.process_monthly_isimip_data(gdir, output_filesuffix='', member='mri-esm2-0_r1i1p1f1', ssp='ssp126', year_range=('1979', '2014'), apply_bias_correction=False, testing=False, y0=None, y1=None, **kwargs)

Read, process and store the isimip3b gcm data for this glacier.

It stores the data in a format that can be used by the OGGM mass balance model and in the glacier directory.

Currently, this function is built for the ISIMIP3b simulations that are on the OGGM servers.

Parameters:

output_filesuffixstr

append a suffix to the filename (useful for ensemble experiments). If it is not set, we create a filesuffix with applied ensemble and ssp

memberstr

ensemble member gcm that you want to process

sspstr

ssp scenario to process (only ‘ssp126’, ‘ssp370’ or ‘ssp585’ are available)

year_rangetuple of str

the year range for which the anomalies are computed (passed to process_gcm_gdata). Default for ISIMIP3b (‘1979’, ‘2014’)

apply_bias_correctionbool

whether the bias correction is applied (default is False) or not. As we use already internally bias-corrected GCMs, it is default set to False!

testingboolean

Default is False. If testing is set to True, the smaller test ISIMIP3b gcm files are downloaded instead (only useful for pytest)

y0int

start year of the ISIMIP3b data processing. Default is None which processes the entire timeseries. Set this to the beginning of your bias correction/ projection period minus half of bc period to make processing faster.

y1int

end year of the CMIP data processing. Set this to the end of your projection period plus half of bc period. Default is None to process the entire time series, same as y0.

**kwargs: any kwarg to be passed to ref:`process_gcm_data`

Notes

Files written to the glacier directory:

gcm_data.nc

The monthly GCM climate timeseries stored in a netCDF file.