A new model to estimate significant wave heights with ERS-1/2 scatterometer data
文献类型:CNKI期刊论文
作者 | Guo J(过杰); He YJ(何宜军); William Perrie; Shen H(申辉); Chu XQ(储小青) |
发表日期 | 2009-02-15 |
出处 | Chinese Journal of Oceanology and Limnology
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关键词 | scatterometer significant wave height neural networks wind waves swell |
英文摘要 | 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. |
文献子类 | CNKI期刊论文 |
资助机构 | Supported by the National High Technology Research and Development Program of China (863 Program) (No.2008AA09Z102) ; the Canadian Space Agency (CSA) GRIP Program. |
卷 | v.27期:01页:114-118 |
语种 | 英文; |
分类号 | P731.22 |
ISSN号 | 0254-4059 |
源URL | [http://ir.qdio.ac.cn/handle/337002/192689] ![]() |
专题 | 中国科学院海洋研究所 |
作者单位 | 1.InstituteofOceanology,ChineseAcademyofSciences,KeyLaboratoryofOceanCirculationandWave,CAS 2.BedfordInstituteofOceanography 3.GraduateSchooloftheChineseAcademyofSciences |
推荐引用方式 GB/T 7714 | Guo J,He YJ,William Perrie,et al. A new model to estimate significant wave heights with ERS-1/2 scatterometer data. 2009. |
入库方式: OAI收割
来源:海洋研究所
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