Wave steepness retrieved from scatterometer data in a genetic algorithm

Jie Guo; Yijun He

doi:10.1007/s00343-012-1127-6

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Wave steepness retrieved from scatterometer data in a genetic algorithm

OriginalPaper | Updated：2023-05-16

- Wave steepness retrieved from scatterometer data in a genetic algorithm
- Wave steepness retrieved from scatterometer data in a genetic algorithm
- 海洋湖沼学报（英文） 2012年30卷第2期页码：336-341
- Affiliations：
  
  1. Key Laboratory of Coastal Zone Environmental Processes Yantai Institute of Coastal Zone Research (YIC) Chinese Academy of Sciences (CAS)
  2. Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes YICCAS
  3. School of Marine Sciences Nanjing University of Information Science and Technology
  4. Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the National High Technology Research and Development Program of China (863 Program) (No. 2008AA09Z102). Data were provided by the European Space Agency
- DOI：10.1007/s00343-012-1127-6
  中图分类号：
- 网络首发：2012-03-01，
  
  纸质出版：2012
- Accepted：
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Wave steepness retrieved from scatterometer data in a genetic algorithm[J]. 海洋湖沼学报（英文）, 2012,30(2):336-341.

Guo, J., He, Y. Wave steepness retrieved from scatterometer data in a genetic algorithm., Chin. J. Ocean. Limnol. 30, 336–341 (2012). https://doi.org/10.1007/s00343-012-1127-6
Wave steepness retrieved from scatterometer data in a genetic algorithm[J]. 海洋湖沼学报（英文）, 2012,30(2):336-341. DOI： 10.1007/s00343-012-1127-6.

Guo, J., He, Y. Wave steepness retrieved from scatterometer data in a genetic algorithm., Chin. J. Ocean. Limnol. 30, 336–341 (2012). https://doi.org/10.1007/s00343-012-1127-6 DOI：

摘要

Abstract

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.

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Keywords

references

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