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North Sea Wave Analysis Using Data Assimilation and Mesoscale Model Forcing Winds
| 题名： | North Sea Wave Analysis Using Data Assimilation and Mesoscale Model Forcing Winds |
| 其他题名： | Alves,J.-H.G.M.,et al.(2013)."The NCEP-FNMOC combined wave ensemble product:Expanding benefits of interagency probabilistic forecasts to the oceanic environment."Bull.Am.Meteorol.Soc.,94(12),1893-1905. |
| 正文语种： | 英文 |
| 作者： | S. Caires |
| 关键词： | ensemble；measurement；kalman；filter；mesos；explores；ssim；scale；solution；wave |
| 摘要： | This article explores the use of the ensemble Kalman filter technique to improve the accuracy of North Sea wave field analyses. A nonhydrostatic convective-permitting mesoscale model was used to provide high-resolution forcing winds. These were adjusted by assimilating measurements of offshore wave heights directly into the wave model state. The ensemble Kalman filter data assimilation was shown to be very efficient, leading (compared to the results without data assimilation) to large reductions (up to 60％) in the root-mean-square error of the offshore wave heights and other model state variables, also (up to 40％) at locations other than those of the observations used. |
| 出版年： | 2018 |
| 论文唯一标识： | P-108Y2018V144N04005 |
| 英文栏目名称： | TECHNICAL PAPERS |
| doi： | 10.1061/(ASCE)WW.1943-5460.0000439 |
| 期刊名称： | Journal of Waterway, Port, Coastal, and Ocean Engineering |
| 拼音刊名(出版物代码)： | P-108 |
| 卷： | 144 |
| 期： | 04 |
| 页码： | 42-51 |
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