pywatershed.Starfit#
- class pywatershed.Starfit(control, discretization, parameters, lake_inflow, budget_type='defer', verbose=False, load_n_time_batches=1, io_in_cfs=True)[source]#
starfit: Storage Targets And Release Function Inference Tool
Sean W.D. Turner, Jennie Clarice Steyaert, Laura Condon, Nathalie Voisin, Water storage and release policies for all large reservoirs of conterminous United States, Journal of Hydrology, Volume 603, Part A, 2021, 126843, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2021.126843.
Adapted from STARFIT implementation in the MOSART-WM model: IMMM-SFA/mosartwmpy
Noah Knowles (USGS) and James McCreight (UCAR/USGS)
- Parameters:
control (
Control) – a Control objectdiscretization (
Parameters) – a discretization of class Parametersparameters (
Parameters) – a parameter object of class Parameterslake_inflow (
Union[str,Path,ndarray,Adapter]) – Daily lake inflowbudget_type (
Literal['defer',None,'warn','error']) – one of [“defer”, None, “warn”, “error”] with “defer” being the default and defering to control.options[“budget_type”] when available. When control.options[“budget_type”] is not avaiable, budget_type is set to “warn”.verbose (
bool) – Print extra information or not?load_n_time_batches (
int) – not-implemented
- __init__(control, discretization, parameters, lake_inflow, budget_type='defer', verbose=False, load_n_time_batches=1, io_in_cfs=True)[source]#
Methods
__init__(control, discretization, ...[, ...])advance()Advance the Process in time.
calculate(time_length, **kwargs)Calculate Process terms for a time step
A dictionary description of this Process.
finalize()Finalizes the Process, including output methods.
Get a tuple of dimension names for this Starfit.
Get a dictionary of initialization values for each public variable.
Get a tuple of input variable names for this Process.
Get a dictionary of variable names for mass budget terms.
Get a tuple of parameter names for Starfit
Get a list of restart varible names.
Get a tuple of (public) variable names for this Process.
initialize_netcdf([output_dir, ...])Initialize NetCDF output.
output()Output data to previously initialized output types.
output_to_csv(pth)Save each output variable to separate csv file in specified path
set_input_to_adapter(input_variable_name, ...)Set input variables to adapter.current and manage the adapter.
Attributes
A tuple of parameter names.
A dictionary of initial values for each public variable.
A tuple of input variable names.
A dictionary of variable names for the mass budget terms.
A tuple of parameter names.
A tuple of restart variable names.
A tuple of public variable names.
- advance()#
Advance the Process in time.
- Returns:
None
- calculate(time_length, **kwargs)#
Calculate Process terms for a time step
- Parameters:
simulation_time – current simulation time
- Return type:
- Returns:
None
- classmethod description()#
A dictionary description of this Process.
- Return type:
- Returns:
All metadata for all variables in inputs, variables,parameters, and mass_budget_terms for this Process.
- static get_init_values()[source]#
Get a dictionary of initialization values for each public variable.
- Return type:
- classmethod get_variables()#
Get a tuple of (public) variable names for this Process.
- Return type:
- initialize_netcdf(output_dir=None, separate_files=None, budget_args=None, output_vars=None, extra_coords=None, addtl_output_vars=None)#
Initialize NetCDF output.
- Parameters:
output_dir ([<class ‘str’>, <class ‘pathlib.Path’>]) – base directory path or NetCDF file path if separate_files is True
separate_files (
bool) – boolean indicating if storage component output variables should be written to a separate file for each variableoutput_vars (
list) – list of variable names to outuput.
- Return type:
- Returns:
None
- output_to_csv(pth)#
Save each output variable to separate csv file in specified path
- set_input_to_adapter(input_variable_name, adapter)#
Set input variables to adapter.current and manage the adapter.
TODO: make this private?