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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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fclim-04-955414.pdf (Verlagsversion), 822KB
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2022
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© The Authors

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 Urheber:
Smith, Doug M.1, Autor
Gillett, Nathan P., Autor
Simpson, Isla R., Autor
Athanasiadis, Panos J., Autor
Baehr, Johanna, Autor
Bethke, Ingo, Autor
Bilge, Tarkan A., Autor
Bonnet, Rémy, Autor
Boucher, Olivier, Autor
Findell, Kirsten L., Autor
Gastineau, Guillaume, Autor
Gualdi, Silvio, Autor
Hermanson, Leon, Autor
Leung, L. Ruby, Autor
Mignot, Juliette, Autor
Müller, Wolfgang A.2, Autor           
Osprey, Scott, Autor
Otterå, Odd Helge, Autor
Persad, Geeta G., Autor
Scaife, Adam A., Autor
Schmidt, Gavin A., AutorShiogama, Hideo, AutorSutton, Rowan T., AutorSwingedouw, Didier, AutorYang, Shuting, AutorZhou, Tianjun, AutorZiehn, Tilo, Autor mehr..
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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 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2022-09-162022-09-16
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.3389/fclim.2022.955414
BibTex Citekey: SmithGillettEtAl2022
 Art des Abschluß: -

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Projektname : CONSTRAIN
Grant ID : 820829
Förderprogramm : Horizon 2020 (H2020)
Förderorganisation : European Commission (EC)

Quelle 1

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Titel: Frontiers in Climate
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Frontiers Media S.A.
Seiten: - Band / Heft: 4 Artikelnummer: 955414 Start- / Endseite: - Identifikator: ISSN: 26249553