Spectral wave modelling of the extreme 2013/2014 winter storms in the North-East Atlantic

Type Article
Date 2020-11
Language English
Author(s) Ruju Andrea1, 4, Filipot Jean-Francois1, Bentamy Abderrahim2, Leckler Fabien1, 3
Affiliation(s) 1 : France Energies Marines, Batiment Cap Ocean,Technopole Brest Iroise, F-29280 Plouzane, France.
2 : Inst Francais Rech & Exploitat Mer, Lab Oceanog Spatiale, F-29280 Plouzane, France.
3 : Serv Hydrograph & Oceanog Marine, F-29200 Brest, France.
4 : Univ Cagliari, Dept Chem & Geol Sci, I-09042 Monserrato, Italy.
Source Ocean Engineering (0029-8018) (Pergamon-elsevier Science Ltd), 2020-11 , Vol. 216 , P. 108012 (19p.)
DOI 10.1016/j.oceaneng.2020.108012
WOS© Times Cited 3
Keyword(s) Spectral wave modelling, Wind forcing, Wave energy dissipation, Wave breaking, Extreme storms, Storm tracking

This works aims to investigate the impact of wind forcing datasets and wave breaking parameterizations on spectral wave model performance under extremely energetic conditions. For this purpose we used the wave model WaveWatch III to simulate the evolution of the highly energetic storms that occurred in winter 2013/2014 in the North-East Atlantic. We forced the wave model with two different wind datasets: one proceeding from the ECMWF ERAS reanalysis dataset and the other from satellite observations. Moreover, two wave energy dissipation parameterizations were tested: Test471 and Test500. The model accuracy was assessed by comparing the output datasets with buoy data both in deep and coastal water. Moreover, wave height measurements from satellite were used to assess the model accuracy along storm tracks across the ocean. The accuracy of simulated results shows a significant dependence on the wind forcing and wave dissipation parameterization used. Error metrics computed under storm conditions at wave buoys are consistent with those computed along storm tracks. At the wave buoy locations, all datasets tend to underestimate wave parameters at the peaks of the storms.

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