Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean
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 pur...
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ftarchimer:oai:archimer.ifremer.fr:91062 2023-05-15T17:33:45+02:00 Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean Silva, Dina Gonçalves, Marta Bentamy, Abderrahim Guedes Soares, C. 2022-12 application/pdf https://archimer.ifremer.fr/doc/00799/91062/96715.pdf https://doi.org/10.1016/j.oceaneng.2022.112803 https://archimer.ifremer.fr/doc/00799/91062/ eng eng Elsevier BV https://archimer.ifremer.fr/doc/00799/91062/96715.pdf doi:10.1016/j.oceaneng.2022.112803 https://archimer.ifremer.fr/doc/00799/91062/ info:eu-repo/semantics/openAccess restricted use Ocean Engineering (0029-8018) (Elsevier BV), 2022-12 , Vol. 266 , N. Part.2 , P. 112803 (10p.) ERA-Interim ERA5 Satellite Azores Madeira text Publication info:eu-repo/semantics/article 2022 ftarchimer https://doi.org/10.1016/j.oceaneng.2022.112803 2022-11-22T23:50:29Z 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. Article in Journal/Newspaper North Atlantic Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Ocean Engineering 266 112803 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
ERA-Interim ERA5 Satellite Azores Madeira |
spellingShingle |
ERA-Interim ERA5 Satellite Azores Madeira Silva, Dina Gonçalves, Marta Bentamy, Abderrahim Guedes Soares, C. Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean |
topic_facet |
ERA-Interim ERA5 Satellite Azores Madeira |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Silva, Dina Gonçalves, Marta Bentamy, Abderrahim Guedes Soares, C. |
author_facet |
Silva, Dina Gonçalves, Marta Bentamy, Abderrahim Guedes Soares, C. |
author_sort |
Silva, Dina |
title |
Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean |
title_short |
Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean |
title_full |
Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean |
title_fullStr |
Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean |
title_full_unstemmed |
Assessment of the use of scatterometer wind data to force wave models in the North Atlantic Ocean |
title_sort |
assessment of the use of scatterometer wind data to force wave models in the north atlantic ocean |
publisher |
Elsevier BV |
publishDate |
2022 |
url |
https://archimer.ifremer.fr/doc/00799/91062/96715.pdf https://doi.org/10.1016/j.oceaneng.2022.112803 https://archimer.ifremer.fr/doc/00799/91062/ |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Ocean Engineering (0029-8018) (Elsevier BV), 2022-12 , Vol. 266 , N. Part.2 , P. 112803 (10p.) |
op_relation |
https://archimer.ifremer.fr/doc/00799/91062/96715.pdf doi:10.1016/j.oceaneng.2022.112803 https://archimer.ifremer.fr/doc/00799/91062/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.1016/j.oceaneng.2022.112803 |
container_title |
Ocean Engineering |
container_volume |
266 |
container_start_page |
112803 |
_version_ |
1766132358839271424 |