A nice tool to perform simulator calibration is the Bayesian calibration : it provides the posterior distribution of the input parameters after the calibration (it quantifies the associated uncertainty reduction) whereas the classical calibration provides only an optimal parameter set.
Here is a tutorial to perform the Bayesian calibration and visualize the posterior distribution in Lagun:
BayesianCalibration_HubOpt.pdf (1,1 Mo)