A new model to estimate significant wave heights with ERS-1/2 scatterometer data

• 作 者: 过杰 何宜军 William Perrie 申辉 储小青
• 机 构: Institute of Oceanology, Chinese Academy of Sciences, Key Laboratory of Ocean Circulation and Wave,
• 出 处: Chinese Journal of Oceanology and Limnology
• 发表日期: 2009年01期
• 关键词: otherwise ocean swell incidence azimuth hidden Atlantic coordinates oceanic cont

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.

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.