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Estimating Sound Speed Profile by Combining Satellite Data with In Situ Sea Surface Observations  ( SCI-EXPANDED收录)   被引量:4

文献类型:期刊文献

英文题名:Estimating Sound Speed Profile by Combining Satellite Data with In Situ Sea Surface Observations

作者:Ou, Zhenyi[1];Qu, Ke[1];Wang, Yafen[2];Zhou, Jianbo[3]

机构:[1]Guangdong Ocean Univ, Coll Elect & Informat Engn, Zhanjiang 524088, Peoples R China;[2]Peoples Liberat Army, Unit 91977, Beijing 100000, Peoples R China;[3]Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China

年份:2022

卷号:11

期号:20

外文期刊名:ELECTRONICS

收录:SCI-EXPANDED(收录号:WOS:000872728900001)、、Scopus(收录号:2-s2.0-85140758776)、WOS

基金:This research was funded by the Natural Science Foundation of Guangdong Province, grant number (No. 2022A1515011519) and the 2022 Basic Research funds for central universities of Northwestern Polytechnical University.

语种:英文

外文关键词:Kuroshio Extension Observatory; sound speed profile; self-organizing map

外文摘要:Given that spatiotemporal measurement of the subsurface profile over a wide range are difficult to obtain, surface observations from satellites are often used to estimate the sound speed profile (SSP). This paper proposes a multisource method based on the self-organizing map (SOM) to improve the estimation of the SSP by merging surface observations with satellite data. Surface observations from the Kuroshio Extension Observatory (KEO) were used to supplement satellite observations (anomalies in the measured sea level and sea surface temperature) to this end. Different combinations of the surface parameters were assessed, their errors were analyzed, and differences between the results before and after the multisource parameters were used are discussed. The proposed method significantly increased the accuracy of estimating the SSP when the parameters obtained from in situ measurements were used, with a root mean square error of 2.18 m/s, less than a third of the error obtained when only satellite observations were used. The proposed method provides a new approach to determining an accurate three-dimensional structure of the sound speed when various surface observations are available.

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