oggm.core.massbalance.LinearMassBalance

oggm.core.massbalance.LinearMassBalance#

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

Constant mass balance as a linear function of altitude.

Attributes:
ela_h: float

the equilibrium line altitude (units: [m])

grad: float

the 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])

temp_bias

Change the ELA following a simple rule: + 1K -> ELA + 150 m

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

use_leap_yearsbool

If the calendar should use leap years

Methods

__init__(ela_h[, grad, max_mb, use_leap_years])

Initialize.

days_in_month(year)

Get the number of days of a month, with or without leap years, depending on self.use_leap_years.

days_in_year(year)

Get the number of days of a year, with or without leap years, depending on self.use_leap_years.

get_annual_mb(heights, **kwargs)

Like self.get_monthly_mb(), but for annual MB.

get_daily_mb(heights[, year, fl_id, fls])

Daily mass balance at given altitude(s) for a moment in time.

get_ela([year])

Get the equilibrium line altitude for a given year.

get_monthly_mb(heights, **kwargs)

Monthly mass balance at given altitude(s) for a moment in time.

get_specific_mb([heights, widths, fls, ...])

Specific mass balance for a given glacier geometry.

is_year_valid(year)

Checks if a given date year be simulated by this model.

reset_state()

Reset any internal state of the model.

sec_in_month(year)

Get the seconds of the month, with or without leap years, depending on self.use_leap_years.

sec_in_year(year)

Get the seconds of the year, with or without leap years, depending on self.use_leap_years.

Attributes

temp_bias

Change the ELA following a simple rule: + 1K -> ELA + 150 m