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Historical and future learning about climate sensitivity

Authors

  • Nathan M. Urban,

    1. Computational Physics and Methods (CCS-2), Los Alamos National Laboratory, Los Alamos, New Mexico, USA
    2. Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, New Jersey, USA
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  • Philip B. Holden,

    1. Department of Environment, Earth and Ecosystems, Open University, Milton Keynes, UK
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  • Neil R. Edwards,

    1. Department of Environment, Earth and Ecosystems, Open University, Milton Keynes, UK
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  • Ryan L. Sriver,

    1. Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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  • Klaus Keller

    1. Department of Geosciences, Pennsylvania State University, University Park, Pennsylvania, USA
    2. Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
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Correspondence to: N. M. Urban,

nurban@lanl.gov

Abstract

Equilibrium climate sensitivity measures the long-term response of surface temperature to changes in atmospheric CO2. The range of climate sensitivities in the Intergovernmental Panel on Climate Change Fifth Assessment Report is unchanged from that published almost 30 years earlier in the Charney Report. We conduct perfect model experiments using an energy balance model to study the rate at which uncertainties might be reduced by observation of global temperature and ocean heat uptake. We find that a climate sensitivity of 1.5°C can be statistically distinguished from 3°C by 2030, 3°C from 4.5°C by 2040, and 4.5°C from 6°C by 2065. Learning rates are slowest in the scenarios of greatest concern (high sensitivities), due to a longer ocean response time, which may have bearing on wait-and-see versus precautionary mitigation policies. Learning rates are optimistic in presuming the availability of whole ocean heat data but pessimistic by using simple aggregated metrics and model physics.

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