A new model to estimate significant wave heights with ERS-1/2 scatterometer data |
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| Authors: | Jie Guo Yijun He William Perrie Hui Shen Xiaoqing Chu |
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| Institution: | [1]Instttute of Oceanology, Chinese Academy of Sciences, Key Laboratory of Ocean Circulation and Wave, CAS,Qingdao 266071, China [2]Graduate School of the Chmese Academy of Sciences, Beijing 100039, China [3]Bedford Institute of Oceanography, Dartmouth, NS, Canada |
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| Abstract: | A new model is proposed to estimate the significant wave heights with ERS-1/2 scatterometer data. The results show that the relationship between wave parameters and radar backscattering cross section is similar to that between wind and the radar backscattering cross section. Therefore, the relationship between significant wave height and the radar backscattering cross section is established with a neural network algorithm, which is, if the average wave period is ≤7s, the root mean square of significant wave height retrieved from ERS-1/2 data is 0.51 m, or 0.72 m if it is >7s otherwise. |
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| Keywords: | scatterometer significant wave height neural networks wind waves swell |
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