Evaluation of multidimensional simulations of summer air temperature in China from CMIP5 to CMIP6 by the BCC models: From trends to modes
作者机构：Key Lciboratoiy of Meteorological DisasterMinistry of EducationJoint International Research Laboratory'of Climate and Environment ChangeCollaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics(LASG)Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519082China Laboratory for Climate StudiesNational Climate CenterChina Meteorological AdministrationBeijing 100081China
出 版 物：《Advances in Climate Change Research》 (气候变化研究进展（英文版）)
年 卷 期：2022年第13卷第1期
页 面：28-41页
核心收录：
学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学]
基 金：This research was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20100304) the National Natural Science Foundation of China(41790471,41975054 and 41930967) the National Key Research and Development Program of China(2019YFC1510400 and 2016YFA0602103)
主 题：Summer mean temperature China Dominant mode CMIP6 BCC
摘 要：To determine whether the capability of the CMIP6 version of Beijing Climate Center(BCC)models(BCC-ESMI and BCC-CSM2-MR)in simulating China summer surface air temperature(SAT)has improved,we presented a multidimensional evaluation of the summer SAT in China including the trends,modes,and influencing *** comparisons are also made with the results of CMIP5(BCC-CSM1.1 and ***).In general,the CMIP6,especially BCC-CSM2-MR,has smaller deviations in the trends,the means,the mutations,the maximum centers,the variances,and the spatial patterns of the dominant modes from observatio relative to those of ***,the BCC CMIP6 models still underestimate the SAT variation in the Qinghai-Tibetan Plateau and the northeastern regions of China,and the performance is unsatisfactory with respect to the physical drivers of the dominant ***,all the BCC models can capture the spatio-temporal characteristics of the first mode well and can,in general,characterize the spatial pattern of the second mode,but none of the models perform well in the principal component of the second mode(PC2)due to the low performance with respect to the interannual variation of ***,the factors influencing the leading two modes are *** two CMIP6 can simulate better the Northern Hemisphere subtropical high northern boundary affecting the first *** factor,the Asia polar vortex area,can only be simulated better by two low-resolution models(BCC-CSM1.1 and BCC-ESM I).For the second mode,all four models simulate the influence of Asian zonal circulation well,but poorly simulate that of the southern Indian Ocean dipole due to a large deviation in the Indian Ocean surface temperature.
维普期刊数据库