oggm.tasks.run_random_climate¶
-
oggm.tasks.
run_random_climate
(gdir, nyears=1000, y0=None, halfsize=15, bias=None, seed=None, temperature_bias=None, precipitation_factor=None, store_monthly_step=False, store_model_geometry=None, climate_filename='climate_historical', climate_input_filesuffix='', output_filesuffix='', init_model_fls=None, zero_initial_glacier=False, unique_samples=False, **kwargs)[source]¶ Runs the random mass-balance model for a given number of years.
This will initialize a
oggm.core.massbalance.MultipleFlowlineMassBalance
, and run aoggm.core.flowline.flowline_model_run()
.Parameters: - gdir :
oggm.GlacierDirectory
the glacier directory to process
- 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 across glaciers can be useful if you want to have the same climate years for all of them
- temperature_bias : float
add a bias to the temperature timeseries
- precipitation_factor: float
multiply a factor to the precipitation time series default is None and means that the precipitation factor from the calibration is applied which is cfg.PARAMS[‘prcp_scaling_factor’]
- store_monthly_step : bool
whether to store the diagnostic data at a monthly time step or not (default is yearly)
- store_model_geometry : bool
whether to store the full model geometry run file to disk or not. (new in OGGM v1.4.1: default is to follow cfg.PARAMS[‘store_model_geometry’])
- climate_filename : str
name of the climate file, e.g. ‘climate_historical’ (default) or ‘gcm_data’
- climate_input_filesuffix: str
filesuffix for the input climate file
- output_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
- unique_samples: bool
if true, chosen random mass-balance years will only be available once per random climate period-length if false, every model year will be chosen from the random climate period with the same probability
- kwargs : dict
kwargs to pass to the FluxBasedModel instance
Notes
Files writen to the glacier directory:
- gdir :