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dc.contributor.authorRuprich-Robert, Yohan
dc.contributor.authorMoreno Chamarro, Eduardo
dc.contributor.authorLevine, Xavier
dc.contributor.authorBellucci, Alessio
dc.contributor.authorCassou, Christophe
dc.contributor.authorTourigny, Etienne
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-06-04T13:18:36Z
dc.date.available2021-06-04T13:18:36Z
dc.date.issued2021
dc.identifier.citationRuprich-Robert, Y. [et al.]. Impacts of Atlantic multidecadal variability on the tropical Pacific: a multi-model study. "npj Climate and Atmospheric Science", 2021, vol. 4, 33.
dc.identifier.issn2397-3722
dc.identifier.urihttp://hdl.handle.net/2117/346636
dc.description.abstractAtlantic multidecadal variability (AMV) has been linked to the observed slowdown of global warming over 1998–2012 through its impact on the tropical Pacific. Given the global importance of tropical Pacific variability, better understanding this Atlantic–Pacific teleconnection is key for improving climate predictions, but the robustness and strength of this link are uncertain. Analyzing a multi-model set of sensitivity experiments, we find that models differ by a factor of 10 in simulating the amplitude of the Equatorial Pacific cooling response to observed AMV warming. The inter-model spread is mainly driven by different amounts of moist static energy injection from the tropical Atlantic surface into the upper troposphere. We reduce this inter-model uncertainty by analytically correcting models for their mean precipitation biases and we quantify that, following an observed 0.26 °C AMV warming, the equatorial Pacific cools by 0.11 °C with an inter-model standard deviation of 0.03 °C.
dc.description.sponsorshipY.R.-R. was founded by the European Union’s Horizon 2020 Research and Innovation Program in the framework of the Marie Skłodowska-Curie grant INADEC (Grant agreement 800154). E.M.-C. acknowledges funding from the European Commission’s Horizon 2020 projects PRIMAVERA (Grant Agreement 641727). X.L. has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement H2020-MSCA-COFUND-2016-754433. A.B. and D.N. acknowledge funding from the European Commission’s Horizon 2020 project EUCP (Grant agreement 776613). F.C. and G.D. were supported by the US National Science Foundation (NSF) under the Collaborative Research EaSM2 Grant OCE-1243015 to NCAR and by the US National Oceanic and Atmospheric Administration (NOAA) Climate Program Office under the Climate Variability and Predictability Program Grant NA13OAR4310138. NCAR is a major facility sponsored by the US NSF under Cooperative Agreement 1852977. Acknowledgments are made for the use of ECMWF’s computing and archive facilities in this research, in particular, P.D. thanks ECMWF for providing computing time in the framework of the special project SPITDAVI. R.E., N.D., L.H., and D.S. were supported by the Met Office Hadley Center 522 Climate Program funded by BEIS and Defra and by the European Commission Horizon 2020 EUCP 523 project (GA 776613). J.L.-P. was funded by the European Union’s Horizon 2020 Research and Innovation Program in the framework of the PRIMAVERA project (Grant Agreement 641727). J.R. and D.H. were funded by NERC via NCAS and the ACSIS project (NE/N018001/1), and JR was also funded by the NERC SMURPHS project (NE/N006054/1). M.M.-R. was funded by the European Union’s Horizon 2020 Research and Innovation Program in the framework of the Marie Skłodowska-Curie grant FESTIVAL (Grant agreement 797236). E.T. has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 748750 (SPFireSD project). The analysis and plots of this paper were performed with the NCAR Command Language (Version 6.6.2; 2019)67.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherNature Research
dc.rightsAttribution 3.0 Spain
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
dc.subject.lcshGlobal warming
dc.subject.lcshSea temperature
dc.subject.lcshTeleconnections (Climatology)
dc.subject.otherMultidecadal variability
dc.subject.otherAtlantic multidecadal variability (AMV)
dc.subject.otherGlobal warming
dc.titleImpacts of Atlantic multidecadal variability on the tropical Pacific: a multi-model study
dc.typeArticle
dc.subject.lemacEscalfament global
dc.identifier.doi10.1038/s41612-021-00188-5
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.nature.com/articles/s41612-021-00188-5
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/800154/EU/Impacts of the North Atlantic Decadal variability on European Climate: mechanisms and predictability/INADEC
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/641727/EU/PRocess-based climate sIMulation: AdVances in high resolution modelling and European climate Risk Assessment/PRIMAVERA
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/754433/EU/SupercompuTing And Related applicationS Fellows Program/STARS
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/748750/EU/Seasonal Prediction of Fire danger using Statistical and Dynamical models/SPFireSD
local.citation.other33
local.citation.publicationNamenpj Climate and Atmospheric Science
local.citation.volume4
dc.description.authorship"Article signat per 25 autors/es: Yohan Ruprich-Robert, Eduardo Moreno-Chamarro, Xavier Levine, Alessio Bellucci, Christophe Cassou, Frederic Castruccio, Paolo Davini, Rosie Eade, Guillaume Gastineau, Leon Hermanson, Dan Hodson, Katja Lohmann, Jorge Lopez-Parages, Paul-Arthur Monerie, Dario Nicolì, Said Qasmi, Christopher D. Roberts, Emilia Sanchez-Gomez, Gokhan Danabasoglu, Nick Dunstone, Marta Martin-Rey, Rym Msadek, Jon Robson, Doug Smith & Etienne Tourigny "


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