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Oil spill models are used to forecast the transport and fate of oil after ithas been released. CranSLIK is a model that predicts the movement and spreadof a surface oil spill at sea via a stochastic approach. The aim of this workis to identify parameters that can further improve the forecasting algorithmsand expand the functionality of CranSLIK, while maintaining the run-timeefficiency of the method. The results from multiple simulations performedusing the operational, validated oil spill model, MEDSLIK-II, were analysedusing multiple regression in order to identify improvements which could beincorporated into CranSLIK. This has led to a revised model, namely CranSLIKv2.0, which was validated against MEDSLIK-II forecasts for real oil spillcases. The new version of CranSLIK demonstrated significant forecastingimprovements by capturing the oil spill accurately in real validation casesand also proved capable of simulating a broader range of oil spill scenarios

CranSLIK v2.0: improving the stochastic prediction of oil spill transport and fate using approximation methods