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Classification of marine heatwaves in the South China Sea and their thermodynamic features

Rongwang Zhang Yujie Cheng Xin Wang

大气和海洋科学快报(英文版)2026,Vol.19Issue(2):48-53,6.
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大气和海洋科学快报(英文版)2026,Vol.19Issue(2):48-53,6.DOI:10.1016/j.aosl.2025.100662

Classification of marine heatwaves in the South China Sea and their thermodynamic features

Classification of marine heatwaves in the South China Sea and their thermodynamic features

Rongwang Zhang 1Yujie Cheng 2Xin Wang1

作者信息

  • 1. State Key Laboratory of Tropical Oceanography,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,China||Global Ocean and Climate Research Center,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,China||Guangdong Key Laboratory of Ocean Remote Sensing and Big Data,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,China
  • 2. State Key Laboratory of Tropical Oceanography,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,China
  • 折叠

摘要

Abstract

近年来南海海洋热浪发生频率显著上升,但调控其变化的热力与动力过程的相对作用尚不明确.本研究分析了1982至2021年的南海海洋热浪事件,根据海洋热浪期间海表温度的变化趋势将其划分为增强型和减弱型两类.混合层热收支分析表明,由潜热通量主导的热力过程对调控南海海洋热浪(尤其是衰减型)至关重要.然而,在增强型海洋热浪中,动力过程主导的事件比例(40%)与热力主导型(47%)近乎相当.本研究强调了动力过程在塑造南海海洋热浪中的重要性,并探讨了热带气旋对南海海洋热浪可能产生的影响.

关键词

海洋热浪/南海/潜热通量/热收支

Key words

Marine heatwaves/South China sea/Latent heat flux/Heat budget

引用本文复制引用

Rongwang Zhang,Yujie Cheng,Xin Wang..Classification of marine heatwaves in the South China Sea and their thermodynamic features[J].大气和海洋科学快报(英文版),2026,19(2):48-53,6.

基金项目

This work was supported by the National Key R&D Program of China[grant number 2022YFF0801400],the National Natural Science Foun-dation of China[grant numbers 42376027 and W2441014],the Devel-opment Fund of the South China Sea Institute of Oceanology of the Chinese Academy of Sciences[grant number SCSIO202208],the Spe-cial Fund of the South China Sea Institute of Oceanology of the Chinese Academy of Sciences[grant number SCSIO2023QY01],and the Science and Technology Projects in Guangzhou[grant number 202201010367].The ERA data were obtained from https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5.The NCEP2 data were obtained from https://psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html.The CASFlux data were obtained from https://dx.doi.org/10.12157/CASFlux.The GODAS data were obtained from https://psl.noaa.gov/data/gridded/data.godas.html.The OISST data were obtained from https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html.The authors gratefully acknowledge the support of the China-Sri Lanka Joint Center for Education and Research,Chinese Academy of Sciences. ()

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