oggm.core.massbalance.LinearMassBalance

class oggm.core.massbalance.LinearMassBalance(ela_h, grad=3.0, max_mb=None)[source]

Constant mass-balance as a linear function of altitude.

The “temperature bias” doesn’t makes much sense in this context, but we implemented a simple empirical rule: + 1K -> ELA + 150 m

__init__(ela_h, grad=3.0, max_mb=None)[source]

Initialize.

Parameters:

ela_h: float

Equilibrium line altitude (units: [m])

grad: float

Mass-balance gradient (unit: [mm w.e. yr-1 m-1])

max_mb: float

Cap the mass balance to a certain value (unit: [mm w.e. yr-1])

Methods

__init__(ela_h[, grad, max_mb]) Initialize.
get_annual_mb(heights[, year]) Like self.get_monthly_mb(), but for annual MB.
get_ela([year]) Compute the equilibrium line altitude for this year
get_monthly_mb(heights[, year]) Monthly mass-balance at given altitude(s) for a moment in time.
get_specific_mb(heights, widths[, year]) Specific mb for this year and a specific glacier geometry.