oggm.core.massbalance.ConstantMassBalance#

class oggm.core.massbalance.ConstantMassBalance(gdir, mu_star=None, bias=None, y0=None, halfsize=15, filename='climate_historical', input_filesuffix='', **kwargs)[source]#

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, mu_star=None, bias=None, y0=None, halfsize=15, filename='climate_historical', input_filesuffix='', **kwargs)[source]#

Initialize

Parameters
gdirGlacierDirectory

the glacier directory

mu_starfloat, optional

set to the alternative value of mu* you want to use (the default is to use the calibrated value)

biasfloat, optional

set to the alternative value of the annual bias [mm we yr-1] you want to use (the default is to use the calibrated value)

y0int, optional, default: tstar

the year at the center of the period of interest. The default is to use tstar as center.

halfsizeint, optional

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

filenamestr, optional

set to a different BASENAME if you want to use alternative climate data.

input_filesuffixstr

the file suffix of the input climate file

Methods

__init__(gdir[, mu_star, bias, y0, ...])

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.

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.