Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model

Abstract 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 ( ∼1 km), which generally requires parameterizing convection in models...

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Main Authors: Timothy W. Cronin, Allison A. Wing
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2017-12-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1002/2017MS001111
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author Timothy W. Cronin
Allison A. Wing
author_facet Timothy W. Cronin
Allison A. Wing
author_sort Timothy W. Cronin
collection DOAJ
description Abstract 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 ( ∼1 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.
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spelling doaj-art-96d0394e49db4f0d9bafa307ca25d98c2025-08-20T03:07:58ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662017-12-01982883290510.1002/2017MS001111Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel ModelTimothy W. Cronin0Allison A. Wing1Department of Earth, Atmospheric, and Planetary ScienceMITCambridge MA USALamont‐Doherty Earth ObservatoryColumbia UniversityPalisades NY USAAbstract 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 ( ∼1 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.https://doi.org/10.1002/2017MS001111cloudsclimate sensitivityself‐aggregationconvectionradiative‐convective equilibriumtropical circulation
spellingShingle Timothy W. Cronin
Allison A. Wing
Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model
Journal of Advances in Modeling Earth Systems
clouds
climate sensitivity
self‐aggregation
convection
radiative‐convective equilibrium
tropical circulation
title Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model
title_full Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model
title_fullStr Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model
title_full_unstemmed Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model
title_short Clouds, Circulation, and Climate Sensitivity in a Radiative‐Convective Equilibrium Channel Model
title_sort clouds circulation and climate sensitivity in a radiative convective equilibrium channel model
topic clouds
climate sensitivity
self‐aggregation
convection
radiative‐convective equilibrium
tropical circulation
url https://doi.org/10.1002/2017MS001111
work_keys_str_mv AT timothywcronin cloudscirculationandclimatesensitivityinaradiativeconvectiveequilibriumchannelmodel
AT allisonawing cloudscirculationandclimatesensitivityinaradiativeconvectiveequilibriumchannelmodel