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

In previous studies we see that accurate descriptions of the cloud droplet effective radius (Re) and the autoconversion process of cloud droplets to raindrops (Au) can effectively improve simulated clouds and surface precipitation, and reduce the uncertainty of aerosol indirect effects in global climate models (GCMs). In this paper, we implement cloud microphysical schemes including two-moment Au and R e considering relative dispersion of the cloud droplet size distribution into version 4.1 of the Institute of Atmospheric Physics atmospheric GCM (IAP AGCM 4.1), which is the atmospheric component of the Chinese Academy of Sciences-Earth System model (CAS-ESM 1.0). An analysis of the effects of different schemes shows that the newly implemented schemes can improve both the simulated shortwave (SWCF) and longwave cloud radiative forcings (LWCF) as compared to the standard scheme in IAP 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 5.1 (CAM5.1).
 [1] ;  [2] ;  [3] ;  [4] ;  [5]
  1. Chinese Academy of Sciences (CAS), Beijing (China). Inst. of Earth Environment
  2. Chinese Academy of Sciences (CAS), Beijing (China). International Center for Climate and Environment Sciences
  3. Chinese Academy of Sciences (CAS), Beijing (China). Inst. of Earth Environment; Univ. of Chinese Academy of Sciences, Beijing (China)
  4. Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.
  5. Tsinghua Univ., Beijing (China). Center for Earth System Science, Joint Center for Global Change Studies (JCGCS)
Publication Date:
Report Number(s):
Journal ID: ISSN 0256-1530
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Advances in Atmospheric Sciences
Additional Journal Information:
Journal Volume: 35; Journal Issue: 2; Journal ID: ISSN 0256-1530
Research Org:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
54 ENVIRONMENTAL SCIENCES; relative dispersion; effective radius; autoconversion process; global climate models
OSTI Identifier: