中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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.
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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