oggm.core.massbalance.MultipleFlowlineMassBalance

class oggm.core.massbalance.MultipleFlowlineMassBalance(gdir, fls=None, mb_model_class=<class 'oggm.core.massbalance.MonthlyTIModel'>, use_inversion_flowlines=False, input_filesuffix='', **kwargs)

Handle mass balance at the glacier level instead of flowline level.

Convenience class doing not much more than wrapping a list of mass balance models, one for each flowline.

This is useful for real-case studies, where each flowline might have different model parameters.

Attributes:

flslist

list of flowline objects

__init__(gdir, fls=None, mb_model_class=<class 'oggm.core.massbalance.MonthlyTIModel'>, use_inversion_flowlines=False, input_filesuffix='', **kwargs)

Initialize.

Parameters:

gdirGlacierDirectory

the glacier directory

flslist, optional

list of flowline objects to use (defaults to ‘model_flowlines’)

mb_model_classMassBalanceModel class

the MassBalanceModel to use (default is MonthlyTIModel, alternatives are e.g. ConstantMassBalance…)

use_inversion_flowlines: bool, optional

use ‘inversion_flowlines’ instead of ‘model_flowlines’

kwargskwargs to pass to mb_model_class

Methods

__init__(gdir[, fls, mb_model_class, ...])	Initialize.
get_annual_mb(heights[, year, fl_id])	Like self.get_monthly_mb(), but for annual MB.
get_annual_mb_on_flowlines([fls, year])	Get the MB on all points of the glacier at once.
get_ela([year])	Compute the equilibrium line altitude for a given year.
get_monthly_mb(heights[, year, fl_id])	Monthly mass balance at given altitude(s) for a moment in time.
get_specific_mb([heights, widths, fls, year])	Specific mb for this year and a specific glacier geometry.
is_year_valid(year)	Checks if a given date year be simulated by this model.

Attributes

bias	Residual bias to apply to the original series.
prcp_fac	Precipitation factor to apply to the original series.
temp_bias	Temperature bias to add to the original series.