Tracking the critical offshore conditions leading to inundation via active learning of full-process based models

High-fidelity numerical models (full process based) facilitate accurate simulations of storm responses. For efficient implementation in probabilistic risk assessment, the simulation of a large number ( Hs . We validated the approach with respect to a reference set of 400 long-running simulations in the domain of ( S ; Hs ). Our tests showed that the tracking of the critical contour can be achieved with a reasonable number of long-running simulations of a few tens.