Abstract

AbstractThe Radiative‐Convective Equilibrium Model Intercomparison Project (RCEMIP) consists of simulations at three fixed sea‐surface temperatures (SSTs: 295, 300, and 305 K) and thus allows for a calculation of the climate feedback parameter based on the change of the top‐of‐atmosphere radiation imbalance. Climate feedback parameters range widely across RCEMIP, roughly from −6 to 3 W m−2 K−1, particularly across general‐circulation models (GCMs) as well as global and large‐domain cloud‐resolving models (CRMs). Small‐domain CRMs and large‐eddy simulations have a smaller range of climate feedback parameters due to the absence of convective self‐aggregation. More than 70–80% of the intermodel spread in the climate feedback parameter can be explained by the combined temperature dependencies of convective aggregation and shallow cloud fraction. Low climate sensitivities are associated with an increase of shallow cloud fraction (increasing the planetary albedo) and/or an increase in convective aggregation with warming. An increase in aggregation is associated with an increase in outgoing longwave radiation, caused primarily by mid‐tropospheric drying, and secondarily by an expansion of subsidence regions. Climate sensitivity is neither dependent on the average amount of aggregation nor on changes in deep/anvil cloud fraction. GCMs have a lower overall climate sensitivity than CRMs because in most GCMs convective aggregation increases with warming, whereas in CRMs, convective aggregation shows no consistent temperature trend.

Highlights

  • If the climate feedback parameter is based on the clear-sky TOA radiative fluxes, the intermodel spread is 45% smaller in general-circulation models (GCMs) and 41% smaller in large-/global-domain cloud-resolving models (CRMs)/global cloud-resolving model (GCRM) (Table 1 and Figure 1); this is another indication that cloud changes have a significant contribution to the intermodel spread in climate sensitivity across the large-/global-domain Radiative-Convective Equilibrium Model Intercomparison Project (RCEMIP) models, as further discussed

  • This is why we concentrate on shallow clouds where we investigate the combined effect of changes in convective aggregation and shallow cloud fraction on climate sensitivity

  • The intermodel spread in λ is large in simulations configured on a domain that is large enough to allow convection to self-aggregate; that is, CRMs run on an elongated channel and GCMs/GCRMs run on a global domain

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Summary

Key Points:

Climate feedback parameter (λ) is impacted by change of convective aggregation with temperature, not by its average value. Combined temperature dependencies of convective aggregation and shallow cloud fraction explain. Λ is more negative in GCMs than in CRMs because only GCMs show a mean increase of convective aggregation with warming

Introduction
What Is the Climate Sensitivity Across the RCEMIP Simulations?
What Explains the Extreme Spread in Climate Sensitivity?
Convective Aggregation
Cloud Fraction
Combining Convective Aggregation and Shallow Cloud Fraction
How Does Convective Aggregation Affect Longwave Radiation?
Findings
Summary and Conclusion
Full Text
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