Advances in Earth Science ›› 2025, Vol. 40 ›› Issue (11): 1112-1128. doi: 10.11867/j.issn.1001-8166.2025.096

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Research Progress on the Prediction of Oceanic Mesoscale Eddies in the South China Sea

Xueming ZHU1(), Hailong WANG2, Shaojing GUO1, Xuri ZHANG1   

  1. 1.Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) & School of Marine Sciences, Sun Yat-sen University, Zhuhai Guangdong 519082, China
    2.School of Oceanography and Meteorology, Guangdong Ocean University, Zhanjiang Guangdong 524088, China
  • Received:2025-08-25 Revised:2025-10-27 Online:2025-11-10 Published:2025-11-01
  • About author:ZHU Xueming, research areas include marine environmental numerical simulation and forecasting. E-mail: zhuxueming@sml-zhuhai.cn
  • Supported by:
    the National Natural Science Foundation of China(42176029);Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Sponsored Project(SML2023SP202)

Xueming ZHU, Hailong WANG, Shaojing GUO, Xuri ZHANG. Research Progress on the Prediction of Oceanic Mesoscale Eddies in the South China Sea[J]. Advances in Earth Science, 2025, 40(11): 1112-1128.

Oceanic Mesoscale Eddies (ME) carry more than 90% of the kinetic energy in the upper global ocean, playing vital roles in the material and energy transport. They are highly active in the South China Sea (SCS), with complex dynamics for their generation and dissipation, which are received an increasingly attention from physical oceanographers. Through comprehensive analysis of extensively relevant literatures, it is found that the understanding of the three-dimensional structural characteristics of ME in the SCS more clear, the mechanisms of generation mainly include local wind stress, intrusion of the Kuroshio from the Luzon Strait, the westward propagation of Rossby wave in the Pacific Ocean, and a combination of multiple factors. ME’s dissipation is mainly caused by instability during their propagation or interaction with internal waves. It is shown that there is the ability to reconstruct and predict ME for those popular numerical models, data assimilation, and artificial intelligence technologies, but their accuracy still needs to be further improved. It aims to provide a systematic reference for the comprehensive understanding of ME dynamical processes and the improvement of their operational forecasting skills in the SCS. We suggest that combining dynamics theory, advanced ocean numerical models and data assimilation, big data and artificial intelligence to optimize ME simulation, is one of the key points for eddy research and forecasting in the future.

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