Emergent constraints on climate sensitivities
Mark S. Williamson, Chad W. Thackeray, Peter M. Cox, Alex Hall, Chris, Huntingford, Femke J. M. M. Nijsse

TL;DR
Emergent constraints leverage relationships within climate model ensembles to reduce uncertainties in future climate sensitivity estimates, emphasizing the importance of physical principles for robustness.
Contribution
This review highlights the potential of emergent constraints to improve climate sensitivity estimates and advocates for grounding these constraints in solid physical principles.
Findings
Emergent constraints can reduce climate sensitivity uncertainties.
Physical principles like the fluctuation-dissipation theorem are crucial.
The approach offers promising avenues for more reliable climate projections.
Abstract
Despite major advances in climate science over the last 30 years, persistent uncertainties in projections of future climate change remain. Climate projections are produced with increasingly complex models which attempt to represent key processes in the Earth system, including atmospheric and oceanic circulations, convection, clouds, snow, sea-ice, vegetation and interactions with the carbon cycle. Uncertainties in the representation of these processes feed through into a range of projections from the many state-of-the-art climate models now being developed and used worldwide. For example, despite major improvements in climate models, the range of equilibrium global warming due to doubling carbon dioxide still spans a range of more than three. Here we review a promising way to make use of the ensemble of climate models to reduce the uncertainties in the sensitivities of the real climate…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
