oggm.core.massbalance.ConstantMassBalance

class oggm.core.massbalance.ConstantMassBalance(gdir, mb_model_class=<class 'oggm.core.massbalance.MonthlyTIModel'>, y0=None, halfsize=15, **kwargs)

Constant mass balance during a chosen period.

This is useful for equilibrium experiments. Note that is is the “correct” way to represent the average mass balance over a given period. See: https://oggm.org/2021/08/05/mean-forcing/

Attributes

y0int

the center year of the period

halfsizeint

the halfsize of the period

yearsndarray

the years of the period

__init__(gdir, mb_model_class=<class 'oggm.core.massbalance.MonthlyTIModel'>, y0=None, halfsize=15, **kwargs)

Initialize

Parameters

gdirGlacierDirectory

the glacier directory

mb_model_classMassBalanceModel class

the MassBalanceModel to use for the constant climate

y0int, required

the year at the center of the period of interest.

halfsizeint, optional

the half-size of the time window (window size = 2 * halfsize + 1)

**kwargs:

keyword arguments to pass to the mb_model_class

Methods

__init__(gdir[, mb_model_class, y0, halfsize])	Initialize
get_annual_climate(heights[, year])	Average climate information at given heights.
get_annual_mb(heights[, year, add_climate])	Like self.get_monthly_mb(), but for annual MB.
get_ela([year])	Compute the equilibrium line altitude for a given year.
get_monthly_climate(heights[, year])	Average climate information at given heights.
get_monthly_mb(heights[, year, add_climate])	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.
interp_m
interp_yr
prcp_fac	Precipitation factor to apply to the original series.
temp_bias	Temperature bias to add to the original series.