oggm.tasks.random_glacier_evolution¶
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oggm.tasks.
random_glacier_evolution
(gdir, nyears=1000, y0=None, halfsize=15, bias=None, seed=None, temperature_bias=None, filename='climate_monthly', input_filesuffix='', filesuffix='', init_model_fls=None, zero_initial_glacier=False, **kwargs)[source]¶ Random glacier dynamics for benchmarking purposes.
This runs the random mass-balance model for a certain number of years.Parameters: nyears : int
length of the simulation
- y0 : int, optional
central year of the random climate period. The default is to be centred on t*.
- halfsize : int, optional
the half-size of the time window (window size = 2 * halfsize + 1)
- bias : float
bias of the mb model. Default is to use the calibrated one, which is often a better idea. For t* experiments it can be useful to set it to zero
- seed : int
seed for the random generator. If you ignore this, the runs will be different each time. Setting it to a fixed seed accross glaciers can be usefull if you want to have the same climate years for all of them
- temperature_bias : float
add a bias to the temperature timeseries
- filename : str
name of the climate file, e.g. ‘climate_monthly’ (default) or ‘cesm_data’
- input_filesuffix: str
filesuffix for the input climate file
- filesuffix : str
this add a suffix to the output file (useful to avoid overwriting previous experiments)
- init_model_fls : []
list of flowlines to use to initialise the model (the default is the present_time_glacier file from the glacier directory)
- zero_initial_glacier : bool
if true, the ice thickness is set to zero before the simulation
- kwargs : dict
kwargs to pass to the FluxBasedModel instance
Returns: Files writen to the glacier directory: