Regional impacts poorly constrained by climate sensitivity

[thumbnail of Open Access]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.
| Preview
Available under license: Creative Commons Attribution

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Swaminathan, R. orcid id iconORCID: https://orcid.org/0000-0001-5853-2673, Schewe, J., Walton, J., Zimmermann, K., Jones, C., Betts, R., Burton, C., Jones, C., Mengel, M., Reyer, C., Turner, A. orcid id iconORCID: https://orcid.org/0000-0002-0642-6876 and Weigel, K. (2024) Regional impacts poorly constrained by climate sensitivity. Earth's Future, 12 (12). e2024EF004901. ISSN 2328-4277 doi: 10.1029/2024EF004901

Abstract/Summary

Climate risk assessments must account for a wide range of possible futures, so scientists often use simulations made by numerous global climate models to explore potential changes in regional climates and their impacts. Some of the latest-generation models have high effective climate sensitivities (EffCS). It has been argued these “hot” models are unrealistic and should therefore be excluded from analyses of climate change impacts. Whether this would improve regional impact assessments, or make them worse, is unclear. Here we show there is no universal relationship between EffCS and projected changes in a number of important climatic drivers of regional impacts. Analysing heavy rainfall events, meteorological drought, and fire weather in different regions, we find little or no significant correlation with EffCS for most regions and climatic drivers. Even when a correlation is found, internal variability and processes unrelated to EffCS have similar effects on projected changes in the climatic drivers as EffCS. Model selection based solely on EffCS appears to be unjustified and may neglect realistic impacts, leading to an underestimation of climate risks.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/119178
Identification Number/DOI 10.1029/2024EF004901
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO)
Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Wiley
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar