Wave steepness retrieved from scatterometer data in a genetic algorithm
文献类型:CNKI期刊论文
作者 | Guo J(过杰); He YJ(何宜军) |
发表日期 | 2012-03-15 |
出处 | Chinese Journal of Oceanology and Limnology
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关键词 | wave steepness genetic algorithm scatterometer data buoy data |
英文摘要 | Wave steepness is an important characteristic of a high sea state, and is widely applied on wave propagations at ports, ships, offshore platforms, and CO2 circulation in the ocean. Obtaining wave steepness is a difficult task that depends heavily on theoretical research on wavelength distribution and direct observations. Development of remote-sensing techniques provides new opportunities to study wave steepness. At present, two formulas are proposed to estimate wave steepness from QuikSCAT and ERS-1/2 scatterometer data. We found that wave steepness retrieving is not affected by radar band, and polarization method, and that relationship of wave steepness with radar backscattering cross section is similar to that with wind. Therefore, we adopted and modified a genetic algorithm for relating wave steepness with radar backscattering cross section. Results show that the root-mean-square error of the wave steepness retrieved is 0.005 in two cases from ERS-1/2 scatterometer data and from QuikSCAT scatterometer data. |
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(863Program)(No.2008AA09Z102) ; Data were provided by the European Space Agency |
卷 | v.30期:02页:146-151 |
语种 | 英文; |
分类号 | P731.22 |
ISSN号 | 0254-4059 |
源URL | [http://ir.qdio.ac.cn/handle/337002/191336] ![]() |
专题 | 中国科学院海洋研究所 |
作者单位 | 1.KeyLaboratoryofCoastalZoneEnvironmentalProcesses,YantaiInstituteofCoastalZoneResearch(YIC),ChineseAcademyofSciences(CAS) 2.ShandongProvincialKeyLaboratoryofCoastalZoneEnvironmentalProcesses,YICCAS 3.NanjingUniversityofInformationScienceandTechnology,SchoolofMarineSciences 4.KeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciences |
推荐引用方式 GB/T 7714 | Guo J,He YJ. Wave steepness retrieved from scatterometer data in a genetic algorithm. 2012. |
入库方式: OAI收割
来源:海洋研究所
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