Process of adjusting and checking a model so that it reproduces observed system behaviour with acceptable accuracy.
Calibration involves tuning model parameters or operating rules so that simulated outputs match historic data. Validation then tests the calibrated model against independent periods or alternative data sets. These steps help to build confidence that the model provides a reliable basis for evaluating future policies and development options.
