Emergent constraint on equilibrium climate sensitivity from global temperature variability

Cox, Peter M.; Huntingford, Chris ORCID: https://orcid.org/0000-0002-5941-7770; Williamson, Mark S.. 2018 Emergent constraint on equilibrium climate sensitivity from global temperature variability. Nature, 553 (7688). 319-322. https://doi.org/10.1038/nature25450

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Abstract/Summary

Equilibrium climate sensitivity (ECS) remains one of the most important unknowns in climate change science. ECS is defined as the global mean warming that would occur if the atmospheric carbon dioxide (CO2) concentration were instantly doubled and the climate were then brought to equilibrium with that new level of CO2. Despite its rather idealized definition, ECS has continuing relevance for international climate change agreements, which are often framed in terms of stabilization of global warming relative to the pre-industrial climate. However, the ‘likely’ range of ECS as stated by the Intergovernmental Panel on Climate Change (IPCC) has remained at 1.5–4.5 degrees Celsius for more than 25 years1. The possibility of a value of ECS towards the upper end of this range reduces the feasibility of avoiding 2 degrees Celsius of global warming, as required by the Paris Agreement. Here we present a new emergent constraint on ECS that yields a central estimate of 2.8 degrees Celsius with 66 per cent confidence limits (equivalent to the IPCC ‘likely’ range) of 2.2–3.4 degrees Celsius. Our approach is to focus on the variability of temperature about long-term historical warming, rather than on the warming trend itself. We use an ensemble of climate models to define an emergent relationship2 between ECS and a theoretically informed metric of global temperature variability. This metric of variability can also be calculated from observational records of global warming3, which enables tighter constraints to be placed on ECS, reducing the probability of ECS being less than 1.5 degrees Celsius to less than 3 per cent, and the probability of ECS exceeding 4.5 degrees Celsius to less than 1 per cent.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1038/nature25450
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	0028-0836
Additional Keywords:	climate and Earth system modelling, climate sciences, environmental sciences, projection and prediction
NORA Subject Terms:	Meteorology and Climatology
Date made live:	22 Mar 2018 10:45 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/519612

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