检索
E-mail
RSS

作者投稿 主编审稿 专家审稿 远程编辑

热带海洋学报

• • 上一篇    下一篇

基于 EOF 和 SOM 的海南岛东侧近岸海表流场时空变化特征分析

周淳业1, 韦骏1, 汪致君2

  

  1. 1.中山大学大气科学学院, 南方海洋科学与工程广东省实验室(珠海), 广东 珠海 519082;

    2.珠海科技学院, 广东 珠海 519041

  • 收稿日期:2026-04-22 修回日期:2026-06-08 接受日期:2026-06-12
  • 通讯作者: 韦骏
  • 基金资助:
    南方海洋科学与工程广东省实验室(珠海)自主科研项目(SML2020SP009)

Analysis of the spatiotemporal variability of sea surface currents in the eastern coastal waters of Hainan Island based on EOF and SOM 

ZHOU Chunye1, WEI Jun1, WANG Zhijun2   

  1. 1. School of Atmospheric Sciences, Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China;


    2. Zhuhai College of Science and Technology, Zhuhai 519041, China


  • Received:2026-04-22 Revised:2026-06-08 Accepted:2026-06-12
  • Supported by:

    The Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (SML2020SP009)

PDF (PC)

赞

摘要： 基于高频地波雷达海表流场资料和ERA5再分析风场资料，采用经验正交函数（EOF）和自组织映射（SOM）方法，对海南岛东侧近岸海域海表流场的日尺度变化特征进行了分析。结果表明，研究区海表流场主要可由前两个EOF模态表征：第一模态反映沿岸背景流的增强—减弱过程，是区域流场对背景风场强迫的主响应；第二模态主要表现为局地旋转型异常，体现局地流场组织形式的调整。SOM进一步识别出四类典型流型，不同流型在空间结构、出现时段及流速强度方面存在明显差异。研究区海表流场具有明显的季节性和类型化特征，其演变过程与季风背景调整密切相关。本文从主要变异模态提取和典型流型识别两个层面，补充了对研究海域海表流场时空变化特征的认识。

关键词: 高频地波雷达, 海流特征, 经验正交函数（EOF）, 自组织映射（SOM）, 季风

Abstract: Based on sea surface current data observed by high-frequency ground-wave radar and ERA5 reanalysis wind data, this study investigates the daily variability of sea surface currents in the eastern coastal waters of Hainan Island using Empirical Orthogonal Function (EOF) analysis and Self-Organizing Map (SOM) classification. The results show that the major current variations can be represented by the first two EOF modes. The first mode reflects the strengthening and weakening of the alongshore background flow and represents the primary response of the regional current field to background wind forcing. The second mode mainly appears as a localized rotational anomaly, indicating adjustments in the local organization of the flow field. SOM further identifies four typical current patterns with clear differences in spatial structure, occurrence period, and current intensity. The sea surface current field in the study area exhibits pronounced seasonal and categorical characteristics, and its evolution is closely related to seasonal adjustments of the monsoonal background. This study supplements the understanding of the spatiotemporal variability of sea surface currents in the study area from the perspectives of dominant variability extraction and typical pattern identification.

Key words: high-frequency radar, coastal current characteristics, empirical orthogonal function (EOF), self-organizing map (SOM), monsoon