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基于AVISO卫星测高数据的海洋中尺度涡识别算法对比分析
Comparison and Analysis of Mesoscale Ocean Eddies Identification Algorithms Based on AVISO Satellite Altimetry Data
  
DOI:
中文关键词:  中尺度涡  涡旋识别算法  卫星高度计  南海  西北太平洋
英文关键词:mesoscale eddy  eddy identification algorithm  satellite altimeter  South China Sea  Northwest Pacific Ocean
基金项目:
作者单位
朱金彤,范陈清,万勇,李潇寒  
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中文摘要:
      本文基于2018—2022 年AVISO (Archiving, Validation and Interpretation of Satellite Oceanographic)卫星高度计数据融合产品,分别利用OW (Okubo-Weiss) 参数法、闭合等值线法、海面高度异常(Sea Level Anomaly,SLA) 极值与闭合等值线结合法对南海及西北太平洋海域中尺度涡进行识别,并在此基础上对比分析了不同涡旋识别算法对中尺度涡的探测能力。研究表明:OW 参数法存在涡旋识别过剩问题和涡旋分割现象,仅能有效识别涡核区域,导致识别的涡旋半径、涡旋面积和振幅偏小。闭合等值线法具有良好的识别效果,但无法区分单核涡旋和多核涡旋,无法识别涡旋内部结构。SLA 极值与闭合等值线结合法只能识别单核涡旋,无法识别涡旋的内部结构,并且存在涡旋遗漏问题。因此,针对SLA 极值与闭合等值线结合法存在的上述问题,本文通过取消仅包含一个极值作为寻找最外层等值线的限制条件,并减小搜索增幅,对最内层闭合等值线和最外层闭合等值线同时进行搜索。改进后的算法不仅可以识别出多核涡旋,还可以同时识别出涡旋外部和内部结构,并且有效改善了SLA 极值与闭合等值线结合法存在的涡旋遗漏问题。
英文摘要:
      Based on the 2018—2022 Archiving, Validation and Interpretation of Satellite Oceanographic (AVISO) satellite altimeter fusion products, this paper identifies mesoscale eddies in the South China Sea and the Northwest Pacific Ocean by applying the Okubo- Weiss (OW) parameter method, the closed contour method, and the combination of sea level anomaly (SLA) extremum and closed contour method, and then compares and analyzes the detection ability of different eddy identification algorithms for mesoscale eddies. An analysis reveals an issue of excessive eddy identification and segmentation phenomenon when applying the OW parameter method regarding the count of detected eddies. The algorithms characteristic is confined to the core region of the eddy, resulting in underestimated measurements of eddy radius, area, and amplitude. The application of the closed contour method yields favorable outcomes. However, it fails to distinguish between single-core and multi-core eddies, nor does it recognize the internal structure of the eddies. Moreover, the application of the SLA extremum and closed contour method confines itself to the recognition of single -core eddies. It also fails to distinguish between multi-core eddies or the internal structure of the eddies. Therefore, to address the above problems of the combination of SLA extremum and closed contour method, this paper searches both the innermost closed contour and the outermost closed contour simultaneously by removing the inclusion of only one extremum as a restriction on finding the outermost contour and reducing the search increase. The improved algorithm not only recognizes multicore eddies, but also identifies both the external and internal structures of eddies, and effectively improves the problem of eddy omission in the recognition process of the combined SLA extremum and closed contour method.
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