A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery

FAN Chenqing; WANG Xiaochen; ZHANG Xudong; GAO Dong

doi:10.1007/s13131-019-1480-2

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Article Navigation > Acta Oceanologica Sinica > 2019 > 38(9): 120-127

FAN Chenqing, WANG Xiaochen, ZHANG Xudong, GAO Dong. A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery[J]. Acta Oceanologica Sinica, 2019, 38(9): 120-127. doi: 10.1007/s13131-019-1480-2

Citation:

FAN Chenqing, WANG Xiaochen, ZHANG Xudong, GAO Dong. A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery[J]. Acta Oceanologica Sinica, 2019, 38(9): 120-127. doi: 10.1007/s13131-019-1480-2

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A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery

doi: 10.1007/s13131-019-1480-2

1.
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
2.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China;Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Deqing 313200, China
3.
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;College of information and engineering, Ocean University of China, Qingdao 266071, China

Received Date: 2018-01-19

Abstract

Abstract

The main objective of this paper is to propose a newly developed ocean Significant Wave Height (SWH) retrieval method from Envisat Advanced Synthetic Aperture Radar (ASAR) imagery. A series of wave mode imagery from January, April and May of 2011 are collocated with ERA-Interim reanalysis SWH data. Based on the matched datasets, a simplified empirical relationship between 22 types of SAR imagery parameters and SWH products is developed with the Genetic Algorithms Partial Least-Squares (GA-PLS) model. Two major features of the backscattering coefficient σ₀ and the frequency parameter S₁₀ are chosen as the optimal training feature subset of SWH retrieval by using cross validation. In addition, we also present a comparison of the retrieval results of the simplified empirical relationship with the collocated ERA-Interim data. The results show that the assessment index of the correlation coefficient, the bias, the root-mean-square error of cross validation (RMSECV) and the scattering index (SI) are 0.78, 0.07 m, 0.76 m and 0.5, respectively. In addition, the comparison of the retrieved SWH data between our simplifying model and the Jason-2 radar altimeter data is proposed in our study. Moreover, we also make a comparison of the retrieval of SWH data between our developed model and the well-known CWAVE_ENV model. The results show that satisfying retrieval results are acquired in the low-moderate sea state, but major bias appears in the high sea state, especially for SWH>5 m.
- significant wave height,
- Envisat ASAR,
- GA-PLS,
- optimal feature subset

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