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Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean.
- Source :
-
Ocean Engineering . Dec2022:Part 2, Vol. 266, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- The present work uses for the first time scatterometer wind fields to force a wave model and compares the accuracy of the resulting wave conditions with the ones obtained when using two different sources of hindcast wind fields forcing the same wave spectral model in the Atlantic Ocean. For this purpose, a 5-year hindcast (2010–2014) is performed with the wave spectral model SWAN for the Madeira and Azores archipelagos. The model uses as input the bathymetry from GEBCO, the wave boundary conditions from the WAVEWATCH III wave model provided by Ifremer and winds from the ERA-Interim and ERA5 databases, and remotely sensed winds from scatterometers. A quantitative analysis of the results is performed, and the numerical results are validated against altimeter data and buoy measurements. Globally, ERA-Interim, ERA5 and scatterometer wind data provided similar accuracy of the generated wave fields, as expressed in the error statistics, which are very close to each other, but in the case of extreme events, the scatterometer data reveals more intense winds and consequently lead to sea states with higher significant wave height. This is more visible in the Azores area than in Madeira. The results demonstrate that, in general, the significant wave height is well reproduced by SWAN. • The differences in the accuracy of wave conditions predicted when using three different sources of wind fields are compared. • A 5-year hindcast (2010–2014) is performed with the wave spectral model SWAN for Madeira and Azores. • An analysis of the results is performed and the results are validated against satellite data and buoy measurements. • For extreme events, the satellite data reveals more intense winds and consequently lead to sea states with higher Hs. [ABSTRACT FROM AUTHOR]
- Subjects :
- *WIND pressure
*WAVE forces
*OCEAN waves
*OCEAN
*WIND waves
*ARCHIPELAGOES
Subjects
Details
- Language :
- English
- ISSN :
- 00298018
- Volume :
- 266
- Database :
- Academic Search Index
- Journal :
- Ocean Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 160586263
- Full Text :
- https://doi.org/10.1016/j.oceaneng.2022.112803