Bias characteristics of cloud diurnal variation in the FGOALS-f3-L modelOA
Bias characteristics of cloud diurnal variation in the FGOALS-f3-L model
云量日变化可以调节云辐射效应,影响大气动力过程,但在气候模式评估中常被忽视.本研究评估了FGOALS-f3-L模式中高,中,低云及总云云量的日均值和日变化特征.结果表明,模式普遍低估白天低云云量和夜间中,高云云量.低云云量日变化误差主导总云云量日变化误差.其中,低云误差造成的负值贡献被中,高云误差的正值贡献部分抵消.误差贡献呈现显著的海陆和区域差异,与相应云量的模式误差一致.同时,云量日变化误差对短波云辐射效应误差的影响可达日均云量影响的一半,突显了在模式中准确表征云量日变化的重要性.
Hongtao Yang;Guoxing Chen;Qing Bao;Bian He
Department of Atmospheric and Oceanic Sciences,Institute of Atmospheric Sciences,and CMA-FDU Joint Laboratory of Marine Meteorology,Fudan University,Shanghai,ChinaDepartment of Atmospheric and Oceanic Sciences,Institute of Atmospheric Sciences,and CMA-FDU Joint Laboratory of Marine Meteorology,Fudan University,Shanghai,China||Shanghai Frontier Science Center of Atmosphere-Ocean Interaction,Fudan University,Shanghai,ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,ChinaNational Key Laboratory of Earth System Numerical Modeling and Application,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
云量日变化气候模式模式误差分解短波云辐射效应
Cloud fractionDiurnal variationClimate modelModel bias dissectionShortwave cloud radiative effects
《大气和海洋科学快报（英文版）》 2025 (6)
65-70,6
This study was supported by the National Natural Science Founda-tion of China[grant number 42275074].
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