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The adaptation of numerical wind wave models to the local time-spatialconditions is a problem that can be solved by using various calibrationtechniques. However, the obtained sets of physical parameters become over-tunedto specific events if there is a lack of observations. In this paper, wepropose a robust evolutionary calibration approach that allows to build thestochastic ensemble of perturbed models and use it to achieve the trade-offbetween quality and robustness of the target model. The implemented robustensemble-based evolutionary calibration (REBEC) approach was compared to thebaseline SPEA2 algorithm in a set of experiments with the SWAN wind wave modelconfiguration for the Kara Sea domain. Provided metrics for the set ofscenarios confirm the effectiveness of the REBEC approach for the majority ofcalibration scenarios.

REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model