Abstract

AbstractThe global-mean climate feedback quantifies how much the climate system will warm in response to a forcing such as increased CO2 concentration. Under a constant forcing, this feedback becomes less negative (increasing) over time in comprehensive climate models, which has been attributed to increases in cloud and lapse-rate feedbacks. However, out of eight Earth system models of intermediate complexity (EMICs) not featuring interactive clouds, two also simulate such a feedback increase: Bern3D-LPX and LOVECLIM. Using these two models, we investigate the causes of the global-mean feedback increase in the absence of cloud feedbacks. In both models, the increase is predominantly driven by processes in the Southern Ocean region. In LOVECLIM, the global-mean increase is mainly due to a local longwave feedback increase in that region, which can be attributed to lapse-rate changes. It is enhanced by the slow atmospheric warming above the Southern Ocean, which is delayed due to regional ocean heat uptake. In Bern3D-LPX, this delayed regional warming is the main driver of the global-mean feedback increase. It acts on a near-constant local feedback pattern mainly determined by the sea ice–albedo feedback. The global-mean feedback increase is limited by the availability of sea ice: faster Southern Ocean sea ice melting due to either stronger forcing or higher equilibrium climate sensitivity (ECS) reduces the increase of the global mean feedback in Bern3D-LPX. In the highest-ECS simulation with 4 × CO2 forcing, the feedback even becomes more negative (decreasing) over time. This reduced ice–albedo feedback due to sea ice depletion is a plausible mechanism for a decreasing feedback also in high-forcing simulations of other models.

Highlights

  • Energy balance models (EBMs) are invaluable diagnostic tools for assessing the behavior of more comprehensive climate models and their differences (e.g., Gregory et al 2004; Winton et al 2010; Geoffroy et al 2013; Ceppi and Gregory 2019)

  • We have investigated the causes of the time dependence of the transient climate sensitivity in two EMICs: the Bern3D-LPX and the LOVECLIM model

  • This time dependence can be understood from two different perspectives: First, the global mean feedback becomes less negative due to a combination of increasingly polar-amplified warming and changing local feedback patterns; second, ocean heat uptake (OHU) efficacy increases due to strong OHU in the Southern Ocean, where an anomalously strong local feedback dominates

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Summary

15 JANUARY 2021

Changes in Local and Global Climate Feedbacks in the Absence of Interactive Clouds: Southern Ocean–Climate Interactions in Two Intermediate-Complexity Models. STOCKERa,b a Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland b Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland (Manuscript received 18 February 2020, in final form 6 October 2020)

Introduction
Time-dependent global feedback
Testing the approximation of constant local feedbacks
The ocean heat uptake efficacy perspective
Findings
Conclusions
Full Text
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