DOI: 10.1002/2017MS001111
Scopus记录号: 2-s2.0-85040726266
论文题名: Clouds, Circulation, and Climate Sensitivity in a Radiative-Convective Equilibrium Channel Model
作者: Cronin T ; W ; , Wing A ; A
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 8 起始页码: 2883
结束页码: 2905
语种: 英语
英文关键词: Climate change
; Climate models
; Clouds
; Dynamics
; Heat convection
; Plasma theory
; Tropics
; Circulation changes
; Climate sensitivity
; Convective dynamics
; Large-scale dynamics
; Radiative-convective equilibrium
; Self aggregation
; Sources of uncertainty
; Surface temperatures
; Agglomeration
; atmospheric circulation
; atmospheric convection
; climate change
; climate feedback
; cloud
; cloud cover
; equilibrium
; parameterization
; radiative forcing
; surface temperature
英文摘要: Tropical cloud and circulation changes are large sources of uncertainty in future climate change. This problem owes partly to the scale separation between large-scale tropical dynamics (~104 km) and convective dynamics (~7 km), which generally requires parameterizing convection in models that resolve large-scale dynamics, or parameterizing (or omitting) large-scale dynamics in models that permit convection. Here we discuss simulations of radiative-convective equilibrium (RCE) across a wide range of surface temperatures in long-channel geometry—where the domain size and resolution marginally resolve both large-scale dynamics and convection. Self-aggregation of convection in these simulations spontaneously produces realistic dynamical regimes of large-scale vertical motion. The circulation weakens with surface warming but changes in the degree of self-aggregation depend on the metric that is used; there is no obvious trend in aggregation with warming. Surface warming causes an upward shift and decrease in area of high clouds, and a sharp decline in midlevel clouds, but no systematic trend in low cloud cover. We introduce a method for approximate radiative kernel feedback analysis in RCE, and apply it to both simulations in long-channel geometry and in a smaller square domain. The kernel-corrected cloud feedback is positive but its magnitude varies across temperatures. Compared to simulations that do not have aggregation, there is a more negative net feedback due to the effects of aggregation on relative humidity and cloud cover. These results are consistent with the hypothesis that self-aggregation moderately reduces climate sensitivity. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75683
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Department of Earth, Atmospheric, and Planetary Science, MIT, Cambridge, MA, United States; Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, United States; Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, United States
Recommended Citation:
Cronin T,W,, Wing A,et al. Clouds, Circulation, and Climate Sensitivity in a Radiative-Convective Equilibrium Channel Model[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(8)