FN Archimer Export Format
PT J
TI Spectral wave modelling of the extreme 2013/2014 winter storms in the North-East Atlantic
BT 
AF RUJU, Andrea
   FILIPOT, Jean-Francois
   BENTAMY, Abderrahim
   LECKLER, Fabien
AS 1:1,4;2:1;3:2;4:1,3;
FF 1:;2:;3:PDG-ODE-LOPS-SIAM;4:;
C1 France Energies Marines, Batiment Cap Ocean,Technopole Brest Iroise, F-29280 Plouzane, France.
   Inst Francais Rech & Exploitat Mer, Lab Oceanog Spatiale, F-29280 Plouzane, France.
   Serv Hydrograph & Oceanog Marine, F-29200 Brest, France.
   Univ Cagliari, Dept Chem & Geol Sci, I-09042 Monserrato, Italy.
C2 FRANCE ENERGIES MARINES, FRANCE
   IFREMER, FRANCE
   SHOM, FRANCE
   UNIV CAGLIARI, ITALY
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-france
   copubli-europe
IF 3.795
TC 3
UR https://archimer.ifremer.fr/doc/00668/78048/80747.pdf
LA English
DT Article
DE ;Spectral wave modelling;Wind forcing;Wave energy dissipation;Wave breaking;Extreme storms;Storm tracking
AB 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. 
PY 2020
PD NOV
SO Ocean Engineering
SN 0029-8018
PU Pergamon-elsevier Science Ltd
VL 216
UT 000596863000055
DI 10.1016/j.oceaneng.2020.108012
ID 78048
ER

EF