2014
DOI: 10.1002/2013ms000270
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Radiative‐convective instability

Abstract: Radiative-moist-convective equilibrium (RCE) is a simple paradigm for the statistical equilibrium the earth's climate would exhibit in the absence of lateral energy transport. It has generally been assumed that for a given solar forcing and long-lived greenhouse gas concentration, such a state would be unique, but recent work suggests that more than one stable equilibrium may be possible. Here we show that above a critical specified sea surface temperature, the ordinary RCE state becomes linearly unstable to l… Show more

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Cited by 169 publications
(326 citation statements)
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“…It shows that high surface temperatures not only facilitate the initiation of convective aggregation; they also contribute to the maintenance of a stronger aggregation of convection and therefore to the increasing concentration of rainy areas. Such a process may contribute to the tendency of models to narrow large-scale convergence zones in a warmer climate (6) and may explain why cloud-radiative effects in the free troposphere are found to be so critical, both for the growth and maintenance of convective aggregation (21,24,27,31,32) and for large-scale circulations (3,5,35,36).…”
Section: Summary and Discussionmentioning
confidence: 99%
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“…It shows that high surface temperatures not only facilitate the initiation of convective aggregation; they also contribute to the maintenance of a stronger aggregation of convection and therefore to the increasing concentration of rainy areas. Such a process may contribute to the tendency of models to narrow large-scale convergence zones in a warmer climate (6) and may explain why cloud-radiative effects in the free troposphere are found to be so critical, both for the growth and maintenance of convective aggregation (21,24,27,31,32) and for large-scale circulations (3,5,35,36).…”
Section: Summary and Discussionmentioning
confidence: 99%
“…Because the initiation of self-aggregation depends on surface temperature (21,24,27,31), and the clumping of convection is known to be associated with a reduction of the upper-level cloud amount (21,25), the question arises whether the reduction of the anvil cloud amount with SST shown in Fig. 2 simply reflects the evolution of the anvil cloud fraction with convective aggregation or whether a more fundamental process is at play.…”
Section: Temperature Dependence Of the Anvil Cloud Amountmentioning
confidence: 99%
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“…It has also become clear that even with the relative simplicity of RCE, differences in convective parameterization schemes play a decisive role on the overall statistics of the simulation [Popke et al, 2013;Coppin and Bony, 2015;Reed et al 2015]. Due to the multiplicity of solutions that previous RCE simulations have produced [Held et al, 2007;Jeevanjee and Romps, 2013;Emanuel et al, 2014;Wing and Cronin, 2016;Zhou, 2015] which depend on domain details, grid-spacing, surface temperature, and parameterizations, we cannot per se assume that solutions of GCM-RCE simulations will be independent of domain size. Examining these domain size effects using simulations with parameterized convection, extending to near global scales, is the aim of this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, when rotation is included, such aggregation may result in tropical cyclone formation [Wing et al, 2016], potentially leading to an increase in work output and a decrease in inefficiencies associated with moist processes [Pauluis, 2011]. Analyzing the entropy budget of organized convection in both rotating and nonrotating frameworks may be useful in order to understand the self-aggregation process, particularly in light of the hypothesis that aggregation itself is temperature dependent [Wing and Emanuel, 2013;Emanuel et al, 2014]. The entropy budget of moist convection in an extremely warm atmosphere may also be of interest for future work given the failure of the scaling relations derived in section 4 to predict a closed entropy budget under these conditions.…”
Section: Discussionmentioning
confidence: 99%