大气和海洋科学快报（英文版）2021，Vol.14Issue(1)：69-75,7.
关于CAS FGOALS-f3-L模式中青藏高原地表温度偏差的归因分析
Analysis of surface temperature bias over the Tibetan plateau in the CAS FGOALS-f3-L model
摘要
Abstract
The Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System atmospheric component model (FGOALS-f3-L) participated in Phase 6 of the Coupled Model Intercomparison Project,but its reproducibility of surface temperature (Ts) over the Tibetan Plateau (TP) as a key climatically sensitive region remains unclear.This study evaluates the capability of FGOALS-f3-L in reproducing the climatological Ts over the TP relative to the Climate Forecast System Reanalysis.The results show that FGOALS-f3-L can reasonably capture the spatial pattern of Ts but underestimates the annual mean Ts for the whole TP.The simulated Ts for the whole TP shows a cold bias in winter and spring and a warm bias in summer and autumn.Further quantitative analysis based on the surface energy budget equation shows that the surface albedo feedback (SAF) term strongly contributes to the annual,winter,and spring mean cold bias in the western TP and to the warm bias in the eastern TP.Compared with the SAF term,the surface sensible and latent heat flux terms make nearly opposite contributions to the Ts bias and considerably offset the bias due to the SAF term.The cloud radiative forcing term strongly contributes to the annual and seasonal mean weak cold bias in the eastern TP.The longwave radiation term associated with the overestimated water vapor content accounts for a large portion of the warm bias over the whole TP in summer and autumn.Improving land surface and cloud processes in FGOALS-f3-L is critical to reduce the Ts bias over the TP.关键词
青藏高原/地表温度/FGOALS-f3-L/地表能量平衡方程/云辐射Key words
Tibetan Plateau/Surface temperature/FGOALS-f3-L/Surface energy budget equation/Cloud radiation引用本文复制引用
Yao Wu,Yimin Liu,Jiandong Li,Qing Bao,Bian He,Lei Wang,Xiaocong Wang,Jinxiao Li..关于CAS FGOALS-f3-L模式中青藏高原地表温度偏差的归因分析[J].大气和海洋科学快报（英文版）,2021,14(1):69-75,7.基金项目
This work was supported by the National Key Research and Development Program of China[grant number 2018YFC1505706],the National Natural Science Foundation of China[grant numbers 91937302,91737306,and 41975109],and the Strategic Priority Research Program of the Chinese Academy of Sciences[grant number XDA17010105]. （）
