Wave steepness retrieved from scatterometer data in a genetic algorithm

• Published in: Chinese journal of oceanology and limnology Vol. 30; no. 2; pp. 336 - 341
• Main Author: 过杰 何宜军
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer-Verlag 01.03.2012; SP Science Press; Springer Nature B.V
• Subjects: Algorithms; Backscatter; Backscattering; Carbon dioxide; Earth and Environmental Science; Earth Sciences; Genetic algorithms; High seas; Marine; Oceanography; Offshore platforms; Offshore structures; Physics; Propagation; Radar; Radar cross sections; Remote sensing; Scattering; Scattering cross sections; Scatterometers; Sea state; Sea states; ships; Slopes; Wave slope; Waveform analysis; Wavelength; wavelengths; wind; 均方误差; 波的传播; 波长分配; 波陡; 海上平台; 遗传算法; 遥感技术; 雷达散射截面; genetic algorithm; wave steepness; buoy data; scatterometer data
• ISSN: 0254-4059; 2096-5508; 1993-5005; 2523-3521
• DOI: 10.1007/s00343-012-1127-6

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.