G-Cubed Parameter calibration
The parameters in a G-Cubed model need to be calibrated. Some of the parameters are set directly using the values in the user_parameters.csv file in the model’s data folder. Other parameters are calibrated using information in the IO tables and in the database.
The treatment of selected parameters is explained in the resources below.
Parameter calibration logic and customisation
Parameter calibration logic is provided by a Python class in the G-Cubed model’s python folder. By default, the CalibratedParameters class in the calibrated_parameters module extends the standard Parameters class. Advanced users can adjust CalibratedParameters, with care, to override standard calibration logic or add model parameters.
The parameter calibration class is typically in a file called calibrated_parameters.py.
The module name can be selected in model configuration YAML.
Detailed parameter values
Generated pages below list calibrated parameter values for model builds that can currently be generated.