Sea surface wind speed and sea state retrievals from dual-frequency altimeter and its preliminary application in global view of wind-sea and swell distributions

doi:10.1080/01431161.2018.1433889

QIBEBT-IR

	Sea surface wind speed and sea state retrievals from dual-frequency altimeter and its preliminary application in global view of wind-sea and swell distributions
	Li, Shuiqing 1,2; Shen, Hui 3; Hou, Yijun 1,2; He, Yijun 4; Bi, Fan 5
	2018
发表期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
卷号	39 期号:10 页码:3076-3093
摘要	Altimeter radar backscatter intensity, in terms of the normalized radar cross section (NRCS), is known to be modulated by surface wind forcing and the state of wind-sea development. Based on a data set of collocated altimeters (including Topex/Poseidon, Jason-1 and Jason-2) and in situ measurements, different responses to various wind speeds and wave ages (i.e. the state of wind-sea development) were illustrated for altimeter dual-frequency NRCSs (K-u-band at 13.6Hz and C band at 5.4Hz), which can facilitate the retrieval of wind speed and wave age parameters. A statistical parametric algorithm was developed to retrieve the two dynamic parameters from the altimeter dual-frequency NRCSs using the neutral network method. The wind-sea significant wave height (SWH) was estimated from wind speed and wave age parameters, which partitions the swell SWH from the altimeter SWH measurement. All newly derived parameters were well validated by comparison against in situ buoy measurements. A preliminary application of the method in examining the swell or wind-sea contributions to global waves was performed; it was found the swell dominance in an open ocean, and the wind-sea dominance in marginal and semi-enclosed seas. The methods would benefit other applications such as studies of air-sea interactions, validation of wave model, determination of swell decay rate and studies of wave climate.
文章类型	Article
关键词	Altimetry Sea State Dual-frequency
WOS标题词	Science & Technology ; Technology
DOI	10.1080/01431161.2018.1433889
关键词[WOS]	MEAN-SQUARE SLOPE ; WAVE PERIOD ; SATELLITE ALTIMETER ; ERROR ESTIMATION ; OCEAN ; MODEL ; BACKSCATTER ; DEPENDENCE ; CLIMATE ; HEIGHT
收录类别	SCI
语种	英语
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
项目资助者	CAS Innovative Foundation(CXJJ-16M111) ; High Technology program of China (863)(2013AA09A505) ; National Key Research and Development Programme of China(2016YFC1401002 ; National Natural Science Foundation of China(41606024 ; China Postdoctoral Science Foundation(2014M561972) ; NSFC Innovative Group(41421005) ; NSFC-Shandong Joint Fund for Marine Science Research Centres(U1606402) ; 2016YFC1402000) ; 41506033)
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000427181200002
出版者	TAYLOR & FRANCIS LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.qibebt.ac.cn/handle/337004/10706
专题	中国科学院青岛生物能源与过程研究所
通讯作者	Shen, Hui
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China 3.Bedford Inst Oceanog, Ocean Ecosyst Sci Div, Dartmouth, NS, Canada 4.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing, Jiangsu, Peoples R China 5.North China Sea Marine Forecasting Ctr State Ocea, Numer Simulat Div, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Li, Shuiqing,Shen, Hui,Hou, Yijun,et al. Sea surface wind speed and sea state retrievals from dual-frequency altimeter and its preliminary application in global view of wind-sea and swell distributions[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(10):3076-3093.
APA	Li, Shuiqing,Shen, Hui,Hou, Yijun,He, Yijun,&Bi, Fan.(2018).Sea surface wind speed and sea state retrievals from dual-frequency altimeter and its preliminary application in global view of wind-sea and swell distributions.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(10),3076-3093.
MLA	Li, Shuiqing,et al."Sea surface wind speed and sea state retrievals from dual-frequency altimeter and its preliminary application in global view of wind-sea and swell distributions".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.10(2018):3076-3093.