Classification of marine heatwaves in the South China Sea and their thermodynamic featuresOA
Classification of marine heatwaves in the South China Sea and their thermodynamic features
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.
Rongwang Zhang;Yujie Cheng;Xin Wang
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,ChinaState Key Laboratory of Tropical Oceanography,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,ChinaState 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
海洋热浪南海潜热通量热收支
Marine heatwavesSouth China seaLatent heat fluxHeat budget
《大气和海洋科学快报（英文版）》 2026 (2)
48-53,6
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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