Incorporation of artificial neural networks and data assimilation techniques into a third-generation wind-wave model for wave forecasting
Zhang, ZX; Li, CW; Qi, YQ; Li, YS; cecwli@polyu.edu.hk
2006
发表期刊JOURNAL OF HYDROINFORMATICS
ISSN1464-7141
卷号8期号:1页码:65-76
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.
部门归属Hong Kong Polytech Univ, Dept Civil & Struct Engn, Hong Kong, Hong Kong, Peoples R China; Chinese Acad Sci, S China Sea Inst Oceanol, Guangzhou, Peoples R China; Hong Kong Polytech Univ, Dept Civil & Struct Engn, Hong Kong, Hong Kong, Peoples R China
关键词Artificial Neural Networks Data Assimilation Wave Forecast Wind-wave Model
学科领域Computer Science, Interdisciplinary Applications ; Engineering, Civil ; Environmental Sciences ; Water Resources
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收录类别sci
资助项目LED
WOS记录号WOS:000235110800006
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被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/5819
专题热带海洋环境国家重点实验室(LTO)
通讯作者cecwli@polyu.edu.hk
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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,&cecwli@polyu.edu.hk.(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.
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