IOCAS-IR  > 海洋环流与波动重点实验室
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, Shuiqing1,2; Shen, Hui3; Hou, Yijun1,2; He, Yijun4; Bi, Fan5
2018
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume39Issue:10Pages:3076-3093
Corresponding AuthorShen, Hui(shenh.ocean@gmail.com)
AbstractAltimeter 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.
KeywordAltimetry sea state dual-frequency
DOI10.1080/01431161.2018.1433889
Indexed BySCI
Language英语
Funding ProjectCAS Innovative Foundation[CXJJ-16M111] ; High Technology program of China (863)[2013AA09A505] ; National Key Research and Development Programme of China[2016YFC1401002] ; National Key Research and Development Programme of China[2016YFC1402000] ; National Natural Science Foundation of China[41606024] ; National Natural Science Foundation of China[41506033] ; China Postdoctoral Science Foundation[2014M561972] ; NSFC Innovative Group[41421005] ; NSFC-Shandong Joint Fund for Marine Science Research Centres[U1606402]
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000427181200002
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/158404
Collection海洋环流与波动重点实验室
Corresponding AuthorShen, Hui
Affiliation1.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
First Author AffilicationKey Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Shuiqing]'s Articles
[Shen, Hui]'s Articles
[Hou, Yijun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Shuiqing]'s Articles
[Shen, Hui]'s Articles
[Hou, Yijun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Shuiqing]'s Articles
[Shen, Hui]'s Articles
[Hou, Yijun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.