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Estimation and forecast of depth-averaged ocean current using underwater gliders
Zhou YJ(周耀鉴); Yu JC(俞建成); Wang XH(王晓辉)
Department水下机器人研究室
Conference NameOCEANS 2016 - Shanghai
Conference DateApril 10-13, 2016
Conference PlaceShanghai, China
Source PublicationOCEANS 2016 - Shanghai
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2016
Pages1-6
Indexed ByEI ; CPCI(ISTP)
EI Accession number20162902613183
WOS IDWOS:000386521800309
Contribution Rank1
ISSN0197-7385
ISBN978-1-4673-9724-7
KeywordDepth-averaged Ocean Current Seawater Density Difference Pressure Hull Compression Deformation Lssvm Underwater Gliders
AbstractDepth-averaged ocean current plays a significant role in marine scientific research, in particular, which is valuable for the navigation of underwater gliders. In this paper, we study the estimation and forecast of depth-averaged ocean current using underwater gliders. By considering three factors: the seawater density difference, the pressure hull compression deformation and the unstable depth intervals of a profile, we build a model for rapid calculation of underwater gliders' horizontal speed in order to improve the accuracy of the estimated depth-averaged ocean current. Then we adopt a novel machine learning model to forecast the depth-averaged ocean current of the next profile. Compared with two rough forecasting methods commonly used in engineering, our novel forecasting model has a better performance.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/18778
Collection水下机器人研究室
Corresponding AuthorZhou YJ(周耀鉴)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation
GB/T 7714
Zhou YJ,Yu JC,Wang XH. Estimation and forecast of depth-averaged ocean current using underwater gliders[C]. Piscataway, NJ, USA:IEEE,2016:1-6.
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