oggm.workflow.calibrate_inversion_from_consensus#
- oggm.workflow.calibrate_inversion_from_consensus(gdirs, ignore_missing=True, fs=0, a_bounds=(0.1, 10), apply_fs_on_mismatch=False, error_on_mismatch=True, filter_inversion_output=True, volume_m3_reference=None, add_to_log_file=True)[source]#
Fit the total volume of the glaciers to the 2019 consensus estimate.
This method finds the “best Glen A” to match all glaciers in gdirs with a valid inverted volume.
- Parameters
- gdirslist of
oggm.GlacierDirectoryobjects the glacier directories to process
- ignore_missingbool
set this to true to silence the error if some glaciers could not be found in the consensus estimate.
- fsfloat
invert with sliding (default: no)
- a_bounds: tuple
factor to apply to default A
- apply_fs_on_mismatch: false
on mismatch, try to apply an arbitrary value of fs (fs = 5.7e-20 from Oerlemans) and try to optimize A again.
- error_on_mismatch: bool
sometimes the given bounds do not allow to find a zero mismatch: this will normally raise an error, but you can switch this off, use the closest value instead and move on.
- filter_inversion_outputbool
whether or not to apply terminus thickness filtering on the inversion output (needs the downstream lines to work).
- volume_m3_referencefloat
Option to give an own total glacier volume to match to
- add_to_log_filebool
if the called entity tasks should write into log of gdir. Default True
- gdirslist of
- Returns
- a dataframe with the individual glacier volumes