Evaluating the Impacts of Cloud Microphysical and Overlap Parameters on Simulated Clouds in Global Climate Models

作     者：Haibo WANG Hua ZHANG Bing XIE Xianwen JING Jingyi HE Yi LIU Haibo WANG;Hua ZHANG;Bing XIE;Xianwen JING;Jingyi HE;Yi LIU

作者机构：Key Laboratory of Middle Atmosphere and Global Environment ObservationInstitute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Laboratory of Severe WeatherChinese Academy of Meteorological SciencesBeijing 100081China University of Chinese Academy of SciencesBeijing 100049China Laboratory for Climate StudiesNational Climate CenterChina Meteorological AdministrationBeijing 100081China Department of Climate and Space Sciences and EngineeringUniversity of MichiganAnn Arbor 48109USA 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2022年第39卷第12期

页      面：2172-2187,I0023,I0024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：supported by the National Key R&D Program of China(2017YFA0603502) Key)National Natural Science Foundation of China(91644211 S&T Development Fund of CAMS(2021KJ004) 

主　　题：cloud fraction cloud microphysics scheme cloud radiative forcing vertical cloud overlap 

摘      要：The improvement of the accuracy of simulated cloud-related variables,such as the cloud fraction,in global climate models(GCMs)is still a challenging problem in climate *** this study,the influence of cloud microphysics schemes(one-moment versus two-moment schemes)and cloud overlap methods(observation-based versus a fixed vertical decorrelation length)on the simulated cloud fraction was assessed in the BCC_AGCM2.0_CUACE/*** with the fixed decorrelation length method,the observation-based approach produced a significantly improved cloud fraction both globally and for four representative *** utilization of a two-moment cloud microphysics scheme,on the other hand,notably improved the simulated cloud fraction compared with the one-moment scheme;specifically,the relative bias in the global mean total cloud fraction decreased by 42.9%–84.8%.Furthermore,the total cloud fraction bias decreased by 6.6%in the boreal winter(DJF)and 1.64%in the boreal summer(JJA).Cloud radiative forcing globally and in the four regions improved by 0.3%−1.2% and 0.2%−2.0%,***,our results showed that the interaction between clouds and climate through microphysical and radiation processes is a key contributor to simulation uncertainty.