4.7 Article

Equilibrium Climate Sensitivity Estimated by Equilibrating Climate Models

Journal

GEOPHYSICAL RESEARCH LETTERS
Volume 47, Issue 4, Pages -

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2019GL083898

Keywords

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Funding

  1. Alexander von Humboldt Foundation
  2. European Research Counil (ERC) under the European Union [786427]
  3. US National Science Foundation [1852977]
  4. Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme [GA01101]
  5. Swiss National Science Foundation [PP00P2_170687]
  6. European Union [821003]
  7. Swiss National Supercomputing Centre (CSCS)
  8. Clusters of Excellence CliSAP, University Hamburg [EXC177]
  9. German Research Foundation (DFG)
  10. European Research Council under the European Community's Seventh Framework Programme (FP7/20072013)/ERC [610055]
  11. Clusters of Excellence CLICCS, University Hamburg [EXC2037]
  12. NERC [ncas10014] Funding Source: UKRI
  13. European Research Council (ERC) [786427] Funding Source: European Research Council (ERC)

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The methods to quantify equilibrium climate sensitivity are still debated. We collect millennial-length simulations of coupled climate models and show that the global mean equilibrium warming is higher than those obtained using extrapolation methods from shorter simulations. Specifically, 27 simulations with 15 climate models forced with a range of CO2 concentrations show a median 17% larger equilibrium warming than estimated from the first 150 years of the simulations. The spatial patterns of radiative feedbacks change continuously, in most regions reducing their tendency to stabilizing the climate. In the equatorial Pacific, however, feedbacks become more stabilizing with time. The global feedback evolution is initially dominated by the tropics, with eventual substantial contributions from the mid-latitudes. Time-dependent feedbacks underscore the need of a measure of climate sensitivity that accounts for the degree of equilibration, so that models, observations, and paleo proxies can be adequately compared and aggregated to estimate future warming.

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