# oggm.core.massbalance.MultipleFlowlineMassBalance¶

class oggm.core.massbalance.MultipleFlowlineMassBalance(gdir, fls=None, mu_star=None, mb_model_class=<class 'oggm.core.massbalance.PastMassBalance'>, use_inversion_flowlines=False, input_filesuffix='', bias=None, **kwargs)[source]

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 a different mu*.

Attributes: fls : list list of flowline objects mb_models : list list of mass-balance objects
__init__(self, gdir, fls=None, mu_star=None, mb_model_class=<class 'oggm.core.massbalance.PastMassBalance'>, use_inversion_flowlines=False, input_filesuffix='', bias=None, **kwargs)[source]

Initialize.

Parameters: gdir : GlacierDirectory the glacier directory mu_star : float or list of floats, optional set to the alternative value of mu* you want to use (the default is to use the calibrated value). Give a list of values for flowline-specific mu* fls : list, optional list of flowline objects to use (defaults to ‘model_flowlines’, and if not available, to ‘inversion_flowlines’) mb_model_class : class, optional the mass-balance model to use (e.g. PastMassBalance, ConstantMassBalance…) use_inversion_flowlines: bool, optional if True ‘inversion_flowlines’ instead of ‘model_flowlines’ will be used. input_filesuffix : str the file suffix of the input climate file bias : float, optional set to the alternative value of the calibration bias [mm we yr-1] you want to use (the default is to use the calibrated value) Note that this bias is substracted from the computed MB. Indeed: BIAS = MODEL_MB - REFERENCE_MB. kwargs : kwargs to pass to mb_model_class

Methods

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

Attributes

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