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Attribution of multi-annual to decadal changes in the climate system: The Large Ensemble Single Forcing Model Intercomparison Project (LESFMIP)

Authors :
Doug M. Smith
Nathan P. Gillett
Isla R. Simpson
Panos J. Athanasiadis
Johanna Baehr
Ingo Bethke
Tarkan A. Bilge
Rémy Bonnet
Olivier Boucher
Kirsten L. Findell
Guillaume Gastineau
Silvio Gualdi
Leon Hermanson
L. Ruby Leung
Juliette Mignot
Wolfgang A. Müller
Scott Osprey
Odd Helge Otterå
Geeta G. Persad
Adam A. Scaife
Gavin A. Schmidt
Hideo Shiogama
Rowan T. Sutton
Didier Swingedouw
Shuting Yang
Tianjun Zhou
Tilo Ziehn
Source :
Frontiers in Climate, Vol 4 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

Multi-annual to decadal changes in climate are accompanied by changes in extreme events that cause major impacts on society and severe challenges for adaptation. Early warnings of such changes are now potentially possible through operational decadal predictions. However, improved understanding of the causes of regional changes in climate on these timescales is needed both to attribute recent events and to gain further confidence in forecasts. Here we document the Large Ensemble Single Forcing Model Intercomparison Project that will address this need through coordinated model experiments enabling the impacts of different external drivers to be isolated. We highlight the need to account for model errors and propose an attribution approach that exploits differences between models to diagnose the real-world situation and overcomes potential errors in atmospheric circulation changes. The experiments and analysis proposed here will provide substantial improvements to our ability to understand near-term changes in climate and will support the World Climate Research Program Lighthouse Activity on Explaining and Predicting Earth System Change.

Details

Language :
English
ISSN :
26249553
Volume :
4
Database :
Directory of Open Access Journals
Journal :
Frontiers in Climate
Publication Type :
Academic Journal
Accession number :
edsdoj.105c06136f345678b8ae3d3bbac69b9
Document Type :
article
Full Text :
https://doi.org/10.3389/fclim.2022.955414