Publications

Akpinar, A. and Ponce de Leon, S. (2016), “An assessment of the wind re-analyses in the modelling of an extreme sea state in the Black Sea”, Dynamics of Atmospheres and Oceans, Vol. 73, pp. 61-75

This study aims at an assessment of wind re-analyses for modelling storms in the BlackSea. A wind-wave modelling system (Simulating WAve Nearshore, SWAN) is applied to theBlack Sea basin and calibrated with buoy data for three recent re-analysis wind sources,namely the European Centre for Medium-Range Weather Forecasts Reanalysis-Interim(ERA-Interim), Climate Forecast System Reanalysis (CFSR), and Modern Era RetrospectiveAnalysis for Research and Applications (MERRA) during an extreme wave condition thatoccurred in the north eastern part of the Black Sea. The SWAN model simulations are carriedout for default and tuning settings for deep water source terms, especially whitecapping.Performances of the best model configurations based on calibration with buoy data arediscussed using data from the JASON2, TOPEX-Poseidon, ENVISAT and GFO satellites. TheSWAN model calibration shows that the best configuration is obtained with Janssen andKomen formulations with whitecapping coefficient (Cds) equal to 1.8e-5 for wave gen-eration by wind and whitecapping dissipation using ERA-Interim. In addition, from thecollocated SWAN results against the satellite records, the best configuration is determinedto be the SWAN using the CFSR winds. Numerical results, thus show that the accuracy of awave forecast will depend on the quality of the wind field and the ability of the SWAN modelto simulate the waves under extreme wind conditions in fetch limited wave conditions.

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