Quick Search:       Advanced Search
DING Yingying,ZUO Juncheng,SHAO Weizeng,SHI Jian,YUAN Xinzhe,SUN Jian,HU Jiachen,LI Xiaofeng. 2019. Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions. Acta Oceanologica Sinica, 38(5):21-31
Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions
基于理论的气旋条件下双极化C波段合成孔径雷达波参数检测
Received:February 20, 2019  
DOI:10.1007/s13131-019-1438-y
Key words:wave parameters  synthetic aperture radar  cyclonic condition
中文关键词:  波浪参数  合成孔径雷达  气旋
基金项目:The National Key Research and Development Program of China under contract No. 2017YFA0604901; the National Natural Science Foundation of China under contract Nos 41806005 and 41776183; the Public Welfare Technical Applied Research Project of Zhejiang Province of China under contract No. LGF19D060003.
Author NameAffiliationE-mail
DING Yingying Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China  
ZUO Juncheng Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China  
SHAO Weizeng Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China shaoweizeng@zjou.edu.cn 
SHI Jian College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 210007, China  
YUAN Xinzhe National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100081, China  
SUN Jian Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China  
HU Jiachen Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China  
LI Xiaofeng Global Science and Technology, National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS), College Park, MD 20740, USA  
Hits: 962
Download times: 746
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.
中文摘要:
      将基于理论的反演算法应用于合成孔径雷达(SAR)强度谱的海浪反演,该算法时基于SAR成像机制开发的。在我们先前的研究中,已经表明,参数化第一猜测谱方法(PFSM),适用于低到中海况的C波段和X波段SAR海浪反演。在这项工作中,我们研究了气旋情况下,PFSM算法应用于在超宽幅(EW)和干涉宽幅(IW)模式成像的双极化C波段Sentinel-1(S-1) SAR的适用性。使用C波段交叉极化风速反演模型(C-3PO)模型从垂直-水平(VH) S-1 SAR图像中反演强风,然后从垂直-垂直图像反演台风浪参数。将有效波高(SWH)和平均波周期(MWP)与WAVEWATCH-Ⅲ (WW3)模型的模拟结果进行比较。验证显示SWH的均方根误差(RMSE)为0.69m和-0.01m偏差,MWP的均方根误差为0.62s和-0.17s偏差。虽然PFSM算法依赖于高质量的SAR频谱,但本研究证实了从S-1 SAR图像台风浪反演的适用性。此外,反演结果在旋风眼右侧扇区上的准确度较低,其中涌浪直接影响强风浪,而PFSM算法在旋风眼的左侧和后侧扇区上工作良好,其中风浪和涌浪的相互作用相对较弱。
HTML View Full Text   View/Add Comment  Download reader
Close