Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions

DING Yingying; ZUO Juncheng; SHAO Weizeng; SHI Jian; YUAN Xinzhe; SUN Jian; HU Jiachen; LI Xiaofeng

doi:10.1007/s13131-019-1438-y

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Article Navigation > Acta Oceanologica Sinica > 2019 > 38(5): 21-31

DING Yingying, ZUO Juncheng, SHAO Weizeng, SHI Jian, YUAN Xinzhe, SUN Jian, HU Jiachen, LI Xiaofeng. Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions[J]. Acta Oceanologica Sinica, 2019, 38(5): 21-31. doi: 10.1007/s13131-019-1438-y

Citation:

DING Yingying, ZUO Juncheng, SHAO Weizeng, SHI Jian, YUAN Xinzhe, SUN Jian, HU Jiachen, LI Xiaofeng. Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions[J]. Acta Oceanologica Sinica, 2019, 38(5): 21-31. doi: 10.1007/s13131-019-1438-y

Citation:

DING Yingying, ZUO Juncheng, SHAO Weizeng, SHI Jian, YUAN Xinzhe, SUN Jian, HU Jiachen, LI Xiaofeng. Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions[J]. Acta Oceanologica Sinica, 2019, 38(5): 21-31. doi: 10.1007/s13131-019-1438-y

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Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions

doi: 10.1007/s13131-019-1438-y

1.
Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China
2.
College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 210007, China
3.
National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100081, China
4.
Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China
5.
Global Science and Technology, National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS), College Park, MD 20740, USA

Received Date: 2019-02-20

Abstract

Abstract

Theoretical-based ocean wave retrieval algorithms are applied by inverting a synthetic aperture radar (SAR) intensity spectrum into a wave spectrum, that has been developed based on a SAR wave mapping mechanism. In our previous studies, it was shown that the wave retrieval algorithm, named the parameterized first-guess spectrum method (PFSM), works for C-band and X-band SAR at low to moderate sea states. In this work, we investigate the performance of the PFSM algorithm when it is applied for dual-polarization c-band sentinel-1 (S-1) SAR acquired in extra wide-swath (EW) and interferometric wide-swath (IW) mode under cyclonic conditions. Strong winds are retrieved from six vertical-horizontal (VH) polarization S-1 SAR images using the c-band cross-polarization coupled-parameters ocean (C-3PO) model and then wave parameters are obtained from the image at the vertical-vertical (VV) polarization channel. significant wave height (SWH) and mean wave period (MWP) are compared with simulations from the WAVEWATCH-Ⅲ (WW3) model. The validation shows a 0.69 m root mean square error (RMSE) of SWH with a -0.01 m bias and a 0.62 s RMSE of MWP with a -0.17 s bias. Although the PFSM algorithm relies on a good quality SAR spectrum, this study confirms the applicability for wave retrieval from an S-1 SAR image. Moreover, it is found that the retrieved results have less accuracy on the right sector of cyclone eyes where swell directly affects strong wind-sea, while the PFSM algorithm works well on the left and rear sectors of cyclone eyes where the interaction of wind-sea and swell is relatively poor.
- wave parameters,
- synthetic aperture radar,
- cyclonic condition

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References(50)

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