DOI: 10.1007/s00382-014-2376-1
Scopus记录号: 2-s2.0-84929712084
论文题名: GCMs with implicit and explicit representation of cloud microphysics for simulation of extreme precipitation frequency
作者: Kang I.-S. ; Yang Y.-M. ; Tao W.-K.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 45, 期: 2017-01-02 起始页码: 325
结束页码: 335
语种: 英语
英文关键词: Cloud microphysics
; Cloud resolving model
; Cold-cloud processes
; Frequency of heavy precipitation
; GCM
英文摘要: The present study aims to develop a general circulation model (GCM) with improved simulation of heavy precipitation frequency by improving the representations of cloud and rain processes. GCMs with conventional convective parameterizations produce common bias in precipitation frequency: they overestimate light precipitation and underestimate heavy precipitation with respect to observed values. This frequency shift toward light precipitation is attributed here to a lack of consideration of cloud microphysical processes related to heavy precipitation. The budget study of cloud microphysical processes using a cloud-resolving model shows that the melting of graupel and accretion of cloud water by graupel and rain water are important processes in the generation of heavy precipitation. However, those processes are not expressed explicitly in conventional GCMs with convective parameterizations. In the present study, the cloud microphysics is modified to allow its implementation into a GCM with a horizontal resolution of 50 km. The newly developed GCM, which includes explicit cloud microphysics, produces more heavy precipitation and less light precipitation than conventional GCMs, thus simulating a precipitation frequency that is closer to the observed. This study demonstrates that the GCM requires a full representation of cloud microphysics to simulate the extreme precipitation frequency realistically. It is also shown that a coarse-resolution GCM with cloud microphysics requires an additional mixing process in the lower troposphere. © 2014, Springer-Verlag Berlin Heidelberg. 资助项目: NRF, National Research Foundation of Korea
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53970
Appears in Collections: 过去全球变化的重建
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作者单位: School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea; International Pacific Research Center, SOEST, University of Hawaii, Honolulu, HI, United States; Mesoscale Atmospheric Processes Laboratory, NASA/Goddard Space Flight Center, Greenbelt, MD, United States
Recommended Citation:
Kang I.-S.,Yang Y.-M.,Tao W.-K.. GCMs with implicit and explicit representation of cloud microphysics for simulation of extreme precipitation frequency[J]. Climate Dynamics,2015-01-01,45(2017-01-02)