Interpretation of the positive low-cloud feedback predicted by a climate model under global warming

被引:4
|
作者
Florent Brient
Sandrine Bony
机构
[1] Université Pierre et Marie Curie,Laboratoire de Météorologie Dynamique (LMD/IPSL)
[2] CNRS,undefined
来源
Climate Dynamics | 2013年 / 40卷
关键词
Low-level cloud feedbacks; Climate change; Hierarchy of models; Moist static energy budget;
D O I
暂无
中图分类号
学科分类号
摘要
The response of low-level clouds to climate change has been identified as a major contributor to the uncertainty in climate sensitivity estimates among climate models. By analyzing the behaviour of low-level clouds in a hierarchy of models (coupled ocean-atmosphere model, atmospheric general circulation model, aqua-planet model, single-column model) using the same physical parameterizations, this study proposes an interpretation of the strong positive low-cloud feedback predicted by the IPSL-CM5A climate model under climate change. In a warmer climate, the model predicts an enhanced clear-sky radiative cooling, stronger surface turbulent fluxes, a deepening and a drying of the planetary boundary layer, and a decrease of tropical low-clouds in regimes of weak subsidence. We show that the decrease of low-level clouds critically depends on the change in the vertical advection of moist static energy from the free troposphere to the boundary-layer. This change is dominated by variations in the vertical gradient of moist static energy between the surface and the free troposphere just above the boundary-layer. In a warmer climate, the thermodynamical relationship of Clausius-Clapeyron increases this vertical gradient, and then the import by large-scale subsidence of low moist static energy and dry air into the boundary layer. This results in a decrease of the low-level cloudiness and in a weakening of the radiative cooling of the boundary layer by low-level clouds. The energetic framework proposed in this study might help to interpret inter-model differences in low-cloud feedbacks under climate change.
引用
收藏
页码:2415 / 2431
页数:16
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