中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimation and forecast of depth-averaged ocean current using underwater gliders

文献类型:会议论文

作者Zhou YJ(周耀鉴); Yu JC(俞建成); Wang XH(王晓辉)
出版日期2016
会议名称OCEANS 2016 - Shanghai
会议日期April 10-13, 2016
会议地点Shanghai, China
关键词Depth-averaged ocean current Seawater density difference Pressure hull compression deformation LSSVM Underwater gliders
页码1-6
通讯作者周耀鉴
中文摘要Depth-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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录OCEANS 2016 - Shanghai
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号0197-7385
ISBN号978-1-4673-9724-7
WOS记录号WOS:000386521800309
源URL[http://ir.sia.cn/handle/173321/18778]  
专题沈阳自动化研究所_水下机器人研究室
推荐引用方式
GB/T 7714
Zhou YJ,Yu JC,Wang XH. Estimation and forecast of depth-averaged ocean current using underwater gliders[C]. 见:OCEANS 2016 - Shanghai. Shanghai, China. April 10-13, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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