Role of Microphysical Parameterizations with Droplet Relative Dispersion in IAP AGCM 4.1  

作　　者：Xiaoning XIE He ZHANG Xiaodong LIU Yiran PENG Yangang LIU 

机构地区：[1]State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi 'an 710061, China [2]International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China [3]University of Chinese Academy of Sciences, Beijing 100049, China [4]Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, and Joint Center for Global Change Studies (JCGCS), Tsinghua University, Beijing 100084, China [5]Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA

出　　处：《Advances in Atmospheric Sciences》2018年第2期248-259,共12页大气科学进展（英文版）

基　　金：partially supported by the National Key Research and Development Program of China (Grant No. 2016YFA0601904);the National Natural Science Foundation of China (Grant Nos. 41690115 and 41572150);the National Natural Science Foundation of China (Grant No. 61432018);supported by the National Major Research High Performance Computing Program of China (Grant No. 2016YFB0200800);supported by a “973” project (Grant No. 2014CB441302);supported by the US Department of Energy’s Atmospheric System Research program

摘　　要：Previous studies have shown that accurate descriptions of the cloud droplet effective radius （Re） and the autoconversion process of cloud droplets to raindrops （At） can effectively improve simulated clouds and surface precipitation, and reduce the uncertainty of aerosol indirect effects in GCMs. In this paper, we implement cloud microphysical schemes including two-moment Ar and Re considering relative dispersion of the cloud droplet size distribution into version 4.1 of the Institute of Atmospheric Physics＇s atmospheric GCM （IAP AGCM 4.1）, which is the atmospheric component of the Chinese Academy of Sciences＇ Earth System Model. Analysis of the effects of different schemes shows that the newly implemented schemes can improve both the simulated shortwave and longwave cloud radiative forcings, as compared to the standard scheme, in lAP AGCM 4.1. The new schemes also effectively enhance the large-scale precipitation, especially over low latitudes, although the influences of total precipitation are insignificant for different schemes. Further studies show that similar results can be found with the Community Atmosphere Model, version 5.1.Previous studies have shown that accurate descriptions of the cloud droplet effective radius （Re） and the autoconversion process of cloud droplets to raindrops （At） can effectively improve simulated clouds and surface precipitation, and reduce the uncertainty of aerosol indirect effects in GCMs. In this paper, we implement cloud microphysical schemes including two-moment Ar and Re considering relative dispersion of the cloud droplet size distribution into version 4.1 of the Institute of Atmospheric Physics＇s atmospheric GCM （IAP AGCM 4.1）, which is the atmospheric component of the Chinese Academy of Sciences＇ Earth System Model. Analysis of the effects of different schemes shows that the newly implemented schemes can improve both the simulated shortwave and longwave cloud radiative forcings, as compared to the standard scheme, in lAP AGCM 4.1. The new schemes also effectively enhance the large-scale precipitation, especially over low latitudes, although the influences of total precipitation are insignificant for different schemes. Further studies show that similar results can be found with the Community Atmosphere Model, version 5.1.

关 键 词：relative dispersion effective radius autoconversion process global climate models 

分 类 号：P2[天文地球—测绘科学与技术]