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

Smith, D. M., Gillett, N. P., Simpson, I. R., Athanasiadis, P. J., Baehr, J., Bethke, I., et al. (2022). Attribution of multi-annual to decadal changes in the climate system: The Large Ensemble Single Forcing Model Intercomparison Project (LESFMIP). Frontiers in Climate, 4: 955414. doi:10.3389/fclim.2022.955414.

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 Creators:
Smith, Doug M.1, Author
Gillett, Nathan P., Author
Simpson, Isla R., Author
Athanasiadis, Panos J., Author
Baehr, Johanna, Author
Bethke, Ingo, Author
Bilge, Tarkan A., Author
Bonnet, Rémy, Author
Boucher, Olivier, Author
Findell, Kirsten L., Author
Gastineau, Guillaume, Author
Gualdi, Silvio, Author
Hermanson, Leon, Author
Leung, L. Ruby, Author
Mignot, Juliette, Author
Müller, Wolfgang A.2, Author           
Osprey, Scott, Author
Otterå, Odd Helge, Author
Persad, Geeta G., Author
Scaife, Adam A., Author
Schmidt, Gavin A., AuthorShiogama, Hideo, AuthorSutton, Rowan T., AuthorSwingedouw, Didier, AuthorYang, Shuting, AuthorZhou, Tianjun, AuthorZiehn, Tilo, Author more..
Affiliations:
1External Organizations, ou_persistent22              
2Decadal Climate Predictions - MiKlip, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_1479671              

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 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. Copyright © 2022 Smith, Gillett, Simpson, Athanasiadis, Baehr, Bethke, Bilge, Bonnet, Boucher, Findell, Gastineau, Gualdi, Hermanson, Leung, Mignot, Müller, Osprey, Otterå, Persad, Scaife, Schmidt, Shiogama, Sutton, Swingedouw, Yang, Zhou and Ziehn.

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Language(s): eng - English
 Dates: 2022-09-162022-09-16
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fclim.2022.955414
BibTex Citekey: SmithGillettEtAl2022
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Project name : CONSTRAIN
Grant ID : 820829
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Frontiers in Climate
Source Genre: Journal
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Publ. Info: Frontiers Media S.A.
Pages: - Volume / Issue: 4 Sequence Number: 955414 Start / End Page: - Identifier: ISSN: 26249553