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多源数据中尺度涡三维结构分析方法研究
引用本文:张春华,安文韬,邵连军,赵钊,方乐.多源数据中尺度涡三维结构分析方法研究[J].海洋技术,2019,38(2).
作者姓名:张春华  安文韬  邵连军  赵钊  方乐
作者单位:中国人民解放军61741部队,北京,100094;国家卫星海洋应用中心,北京,100081
摘    要:作为重要的海洋中尺度现象之一,中尺度涡的研究受到人们的关注和重视。随着数值模式的进一步发展、卫星资料的累积、时间更长以及更多更有效的海上实测数据的取得,使得综合利用实测资料、卫星遥感资料、再分析/数值预报产品等数据源,对中尺度涡进行自动识别与三维结构分析成为中尺度涡研究的主要方向之一。在前期对卫星遥感资料中尺度涡自动检测算法进行研究的基础上,开展多源资料中尺度涡三维结构分析方法研究,以表面漂流浮标运动轨迹为中尺度涡的判定依据,综合利用高度计观测、红外遥感观测、以及再分析/数值预报产品分析中尺度涡三维结构信息,在此基础上,提出中尺度涡研究的发展方向,为全面分析中尺度涡的时空特性提供技术途径,为中尺度涡的动力机制研究奠定基础。

关 键 词:多源资料  卫星遥感  中尺度涡  三维结构  漂流浮标

Study on three-dimensional structure of mesoscale eddy in multi-source data
Zhang Chun-hu,An Wen-tao,Shao Lian-jun,Zhao Zhao and Gao Ning.Study on three-dimensional structure of mesoscale eddy in multi-source data[J].Ocean Technology,2019,38(2).
Authors:Zhang Chun-hu  An Wen-tao  Shao Lian-jun  Zhao Zhao and Gao Ning
Institution:1.Unit 61741, Beijing 100094, China;,2. National Satellite Ocean Application Service, Beijing 100081, China,1.Unit 61741, Beijing 100094, China;,1.Unit 61741, Beijing 100094, China; and 1.Unit 61741, Beijing 100094, China;
Abstract:As one of the most important oceanic phenomena, oceanic eddy can influence the halobios distribution and sound propagation to great extent, and has caused most attention of oceangraphers since been discovered. With the development of numerical model, the accumulation of satellite data, and the longer and more effective on-site measured data, it is one of the main directions to investigate mesoscale eddy by means of multi-source data such as on-site measured data, satellite remote sensing data, reanalysis/numerical forecast products and so on. On the basis of research on mesoscale eddy detection algorithm in the early stages, this article carried out study on three-dimensional structure analysis of mesoscale eddy in multi-source data and put forward the development direction of mesoscale eddy research. This paper lays a foundation for comprehensive analysis of space-time characteristics of mesoscale eddy. And also provides a technical approach for spatial and temporal distribution study of mesoscale eddy.
Keywords:Multi-source data  Satellite remote sensing  Mesoscale eddy  Three-dimensional structure  Drifter buoy
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