DOI: 10.1002/2015GL066713
论文题名: A reduced complexity framework to bridge the gap between AGCMs and cloud-resolving models
作者: Reed K.A. ; Medeiros B.
刊名: Geophysical Research Letters
ISSN: 0094-9438
EISSN: 1944-9169
出版年: 2016
卷: 43, 期: 2 起始页码: 860
结束页码: 866
语种: 英语
英文关键词: AGCMs
; convection
; high resolution
; RCE
; reduced complexity
Scopus关键词: Earth atmosphere
; Heat convection
; AGCMs
; Atmospheric general circulation models
; Community atmosphere model
; High resolution
; High resolution simulations
; Radiative-convective equilibrium
; Reduced complexity
; Statistical equilibrium
; Precipitation (meteorology)
; atmospheric general circulation model
; atmospheric modeling
; complexity
; convection
; convective cloud
; cooling
; equilibrium
; planet
; resolution
; uncertainty analysis
英文摘要: The role of convective parameterizations at high horizontal resolution and their impacts on clouds, circulation, and precipitation processes represent large uncertainties in atmospheric general circulation models (AGCMs). As the statistical equilibrium in which radiative cooling is balanced by convective heating, radiative-convective equilibrium (RCE) offers a simplified framework to investigate such uncertainties. The Community Atmosphere Model 5 is configured in a RCE setup that consists of an ocean-covered planet with diurnally varying, spatially uniform insolation with no rotation effects. A series of simulations are performed in which the planetary radius is incrementally reduced. Because of the homogeneity of the setup, the effect is to reduce grid spacing, mimicking increased resolution without increasing the number of grid points. The results suggest that the reduced planet approach is able to reproduce the behavior of convection from full high-resolution simulations. At grid spacing less than 20 km, convective motions are predominantly produced by resolved scales. © 2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958061555&doi=10.1002%2f2015GL066713&partnerID=40&md5=881dc61b30d086241ff155e8a2670cf0
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10401
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: School of Marine and Atmospheric Sciences, State University of New York at Stony Brook, Stony Brook, NY, United States
Recommended Citation:
Reed K.A.,Medeiros B.. A reduced complexity framework to bridge the gap between AGCMs and cloud-resolving models[J]. Geophysical Research Letters,2016-01-01,43(2).