oggm.global_tasks.compile_ela

oggm.global_tasks.compile_ela(gdirs, settings_filesuffix='', filesuffix='', path=True, csv=False, ys=None, ye=None, years=None, climate_filename='climate_historical', temperature_bias=None, precipitation_factor=None, climate_input_filesuffix='', mb_model_class=None)

Compiles a table of ELA timeseries for all glaciers for a given years, using the mb_model_class (default MonthlyTIModel).

By default, the file is stored in a parquet file (not csv). Use pd.read_parquet to open it.

Parameters:

gdirslist of oggm.GlacierDirectory objects

the glacier directories to process

settings_filesuffix: str

You can use a different set of settings by providing a filesuffix. This is useful for sensitivity experiments.

filesuffixstr

add suffix to output file

pathstr, bool

Set to “True” in order to store the info in the working directory Set to a path to store the file to your chosen location (file extension matters)

csvbool

Set to store the data in csv instead of parquet.

ysint

start year

yeint

end year

yearsarray of ints

override ys and ye with the years of your choice

climate_filenamestr

name of the climate file, e.g. ‘climate_historical’ (default) or ‘gcm_data’

climate_input_filesuffixstr

filesuffix for the input climate file

temperature_biasfloat

add a bias to the temperature timeseries

precipitation_factor: float

multiply a factor to the precipitation time series default is None and means that the precipitation factor from the calibration is applied which is cfg.PARAMS[‘prcp_fac’]

mb_model_classMassBalanceModel class

the MassBalanceModel class to use, default is MonthlyTIModel