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

• Published in: Advances in atmospheric sciences Vol. 35; no. 2; pp. 248 - 259
• Main Authors: Xie, Xiaoning, Zhang, He, Liu, Xiaodong, Peng, Yiran, Liu, Yangang
• Format: Journal Article
• Language: English
• Published: Beijing Science Press 01.02.2018; Springer Nature B.V; University of Chinese Academy of Sciences, Beijing 100049, China%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%Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York 11973-5000, USA; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment,Chinese Academy of Sciences, Xi'an 710061, China%International Center for Climate and Environment Sciences, Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029, China%State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment,Chinese Academy of Sciences, Xi'an 710061, China; Springer
• Subjects: Aerosol effects; Aerosols; Atmospheric models; Atmospheric physics; Atmospheric Sciences; autoconversion process; Cloud droplet size; Cloud droplet size distribution; Cloud droplets; Cloud microphysics; Clouds; Computer simulation; Dispersion; Droplets; Earth; Earth Sciences; effective radius; ENVIRONMENTAL SCIENCES; Geophysics/Geodesy; global climate models; Meteorology; Original Paper; Physics; Precipitation; radiation; Radiative forcing; Raindrops; relative dispersion; Size distribution; their interactions; 全球气候模式; relative dispersion; global climate models; autoconversion process; 云滴谱离散度; effective radius; 云水自动转化过程; 云滴有效半径
• ISSN: 0256-1530; 1861-9533
• DOI: 10.1007/s00376-017-7083-5

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.