oggm.tasks.local_t_star¶
-
oggm.tasks.
local_t_star
(gdir, *, ref_df=None, tstar=None, bias=None, clip_mu_star=None, min_mu_star=None, max_mu_star=None)[source]¶ Compute the local t* and associated glacier-wide mu*.
If
tstar
andbias
are not provided, they will be interpolated from the reference t* list (ref_df
).If none of these are provided (the default), this list be obtained from the current working directory (
ref_tstars.csv
and associated paramsref_tstars_params.json
). These files can either be generated with a call tocompute_ref_t_stars
if you know what you are doing, ot you can obtain pre-preprocessed lists from our servers: https://cluster.klima.uni-bremen.de/~oggm/ref_mb_params/The best way to fetch them is to use
oggm.workflow.download_ref_tstars()
.Note: the glacier wide mu* is output here just for indication. It might be different from the flowlines’ mu* in some cases.
Parameters: - gdir :
oggm.GlacierDirectory
the glacier directory to process
- ref_df :
pandas.DataFrame
, optional replace the default calibration list with your own.
- tstar: int, optional
the year where the glacier should be equilibrium
- bias: float, optional
the associated reference bias
- clip_mu_star: bool, optional
defaults to cfg.PARAMS[‘clip_mu_star’]
- min_mu_star: bool, optional
defaults to cfg.PARAMS[‘min_mu_star’]
- max_mu_star: bool, optional
defaults to cfg.PARAMS[‘max_mu_star’]
Notes
- Files writen to the glacier directory:
- climate_info.json
- Some information (dictionary) about the mass balance parameters for this glacier.
- local_mustar.json
- A dict containing the glacier’s t*, bias, and the flowlines’ mu*
- gdir :