oggm.core.massbalance.UncertainMassBalance¶
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class
oggm.core.massbalance.
UncertainMassBalance
(basis_model, rdn_temp_bias_seed=None, rdn_temp_bias_sigma=0.1, rdn_prcp_bias_seed=None, rdn_prcp_bias_sigma=0.1, rdn_bias_seed=None, rdn_bias_sigma=100)[source]¶ Adding uncertainty to a mass balance model.
There are three variables for which you can add uncertainty: - temperature (additive bias) - precipitation (multiplicative factor) - residual (a bias in units of MB)
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__init__
(basis_model, rdn_temp_bias_seed=None, rdn_temp_bias_sigma=0.1, rdn_prcp_bias_seed=None, rdn_prcp_bias_sigma=0.1, rdn_bias_seed=None, rdn_bias_sigma=100)[source]¶ Initialize.
Parameters: - basis_model : MassBalanceModel
the model to which you want to add the uncertainty to
- rdn_temp_bias_seed : int
the seed of the random number generator
- rdn_temp_bias_sigma : float
the standard deviation of the random temperature error
- rdn_prcp_bias_seed : int
the seed of the random number generator
- rdn_prcp_bias_sigma : float
the standard deviation of the random precipitation error
- rdn_bias_seed : int
the seed of the random number generator
- rdn_bias_sigma : float
the standard deviation of the random MB error
Methods
__init__
(basis_model[, rdn_temp_bias_seed, …])Initialize. get_annual_mb
(heights[, year, fl_id])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, fl_id])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
prcp_bias
Precipitation factor to apply to the original series. temp_bias
Temperature bias to add to the original series. -