Incorporation of artificial neural networks and data assimilation techniques into a third-generation wind-wave model for wave forecasting
文献类型：期刊论文
| 作者 | Zhang, ZX ; Li, CW ; Qi, YQ ; Li, YS |
| 刊名 | JOURNAL OF HYDROINFORMATICS
 |
| 出版日期 | 2006 |
| 卷号 | 8期号:1页码:65-76 |
| 关键词 | artificial neural networks data assimilation wave forecast wind-wave model |
| ISSN号 | 1464-7141 |
| 通讯作者 | cecwli@polyu.edu.hk |
| 中文摘要 | Although the third-generation formulation of the ocean wave model describes the wave generation, dissipation and nonlinear interaction processes explicitly, many empirical parameters exist in the model which have to be determined experimentally. With the advance in oceanographic remote-sensing techniques, information on oceanic parameters including significant wave height (SWH) can be obtained daily by satellite altimeters The assimilation of these data into the wave model provides a way of improving the hindcasting results. However, for wave forecasting, no altimeter data exist during the forecasting period by definition To improve the forecasting accuracy of the wave model, Artificial Neural Networks (ANN) are introduced to mimic the errors introduced by the wave model This is achieved by training the ANN using the wave model output as input, and the results after data assimilation as the targeted output. The trained ANN is then used as a post-processor of the output from the wave model. The proposed method has been applied in wave simulation in the northwestern Pacific Ocean. The statistical interpolation method is used to assimilate the altimeter data into the wave model output and a back-propagation ANN is used to mimic the relation between the wave model outputs with or without data assimilation. The results show that an apparent improvement in the accuracy of forecasting can be obtained. |
| 学科主题 | Computer Science, Interdisciplinary Applications; Engineering, Civil; Environmental Sciences; Water Resources |
| 收录类别 | SCI |
| 原文出处 | I W A PUBLISHING |
| WOS记录号 | WOS:000235110800006 |
| 公开日期 | 2011-07-03 |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/5819]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 推荐引用方式 GB/T 7714 | Zhang, ZX,Li, CW,Qi, YQ,et al. Incorporation of artificial neural networks and data assimilation techniques into a third-generation wind-wave model for wave forecasting[J]. JOURNAL OF HYDROINFORMATICS,2006,8(1):65-76. |
| APA | Zhang, ZX,Li, CW,Qi, YQ,&Li, YS.(2006).Incorporation of artificial neural networks and data assimilation techniques into a third-generation wind-wave model for wave forecasting.JOURNAL OF HYDROINFORMATICS,8(1),65-76. |
| MLA | Zhang, ZX,et al."Incorporation of artificial neural networks and data assimilation techniques into a third-generation wind-wave model for wave forecasting".JOURNAL OF HYDROINFORMATICS 8.1(2006):65-76. |
入库方式： OAI收割
来源：南海海洋研究所
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