Sea Surface Salinity Retrieval Under Rain Based on Aquarius Combined Active/Passive Observations

doi:10.1109/JSTARS.2017.2788870

	Sea Surface Salinity Retrieval Under Rain Based on Aquarius Combined Active/Passive Observations
	Wang, Jin 1; Zhang, Jie 2; Wang, Jing 3
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2018-02
卷号	11 期号:2 页码:367-374
关键词	Aquarius L-band rain effect correction sea surface salinity (SSS)
ISSN号	1939-1404
DOI	10.1109/JSTARS.2017.2788870
英文摘要	Equipped with an L-band radiometer, SMOS, and Aquarius provide an unprecedented sea surface salinity (SSS) dataset of the global oceans in days. The sensitivity of L-band brightness temperature (TB) to SSS variation is about 0.3-0.8 K/psu, which means the salinity signal in TB is very weak. Enormous efforts are devoted to the development, evaluation, and improvement of the SSS retrieval algorithm especially under some unfavorable conditions, i.e., the rain. Rain drops inducing freshening and roughness effects on the sea surface have made the SSS retrieval challenging for years. This paper describes a new method to separate the freshening and roughness effects of rainfall based on the combined active/passive observations of Aquarius. The dependence of the sea surface emissivity (sensitive to both roughness and freshening) on the backscatter (only sensitive to roughness) is obtained and the rain-induced roughness is corrected. The method is applied to the salinity retrieval under rain. The retrieval results (SSSrc) are compared with HYCOM data corrected by the rain impact model (SSSHYCOM-RIM). The bias of SSSrc shows no clear dependence on rain rate. However, the bias of the standard product of Aquarius (SSSADPS, V4.0) rises sharply with rain rate. Furthermore, the standard deviation of SSSrc is about 0.5 psu, which is also superior to SSSADPS (0.9 psu). The above results confirm the feasibility of this new retrieval algorithm for the SSS remote sensing in rainy weather.
资助项目	National Science Foundation for Young Scientists of China[41406204]
WOS关键词	BRIGHTNESS TEMPERATURE ; WIND RETRIEVAL ; OCEAN SURFACE ; SMOS DATA ; MICROWAVE ; MODEL ; MISSION ; IMPACT
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000425661700004
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/26101]
专题	自然资源部第一海洋研究所
通讯作者	Wang, Jin
作者单位	1.Qingdao Univ, Coll Phys, Qingdao 266000, Peoples R China 2.State Ocean Adm, Inst Oceanog 1, Marine Remote Sensing Sci, Qingdao 266100, Peoples R China 3.Ocean Univ China, Coll Informat Sci & Engn, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jin,Zhang, Jie,Wang, Jing. Sea Surface Salinity Retrieval Under Rain Based on Aquarius Combined Active/Passive Observations[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2018,11(2):367-374.
APA	Wang, Jin,Zhang, Jie,&Wang, Jing.(2018).Sea Surface Salinity Retrieval Under Rain Based on Aquarius Combined Active/Passive Observations.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,11(2),367-374.
MLA	Wang, Jin,et al."Sea Surface Salinity Retrieval Under Rain Based on Aquarius Combined Active/Passive Observations".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 11.2(2018):367-374.