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Improving Representation of Tropical Cloud Overlap in GCMs Based on Cloud-Resolving Model Data
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作者 Xianwen JING Hua ZHANG +1 位作者 Masaki SATOH Shuyun ZHAO 《Journal of Meteorological Research》 SCIE CSCD 2018年第2期233-245,共13页
The decorrelation length(Lcf) has been widely used to describe the behavior of vertical overlap of clouds in general circulation models(GCMs); however, it has been a challenge to associate Lcf with the large-scale... The decorrelation length(Lcf) has been widely used to describe the behavior of vertical overlap of clouds in general circulation models(GCMs); however, it has been a challenge to associate Lcf with the large-scale meteorological conditions during cloud evolution. This study explored the relationship between Lcf and the strength of atmospheric convection in the tropics based on output from a global cloud-resolving model. Lcf tends to increase with vertical velocity in the mid-troposphere(w500) at locations of ascent, but shows little or no dependency on w500 at locations of descent. A representation of Lcf as a function of vertical velocity is obtained, with a linear regression in ascending regions and a constant value in descending regions. This simple and dynamic-related representation of Lcf leads to a significant improvement in simulation of both cloud cover and radiation fields compared with traditional overlap treatments. This work presents a physically justifiable approach to depicting cloud overlap in the tropics in GCMs. 展开更多
关键词 cloud overlap decorrelation length cloud-resolving model nonhydrostatic Icosahedral Atmospheric model(NICAM)
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