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dc.contributor.authorBellucci, Alessio
dc.contributor.authorAthanasiadis, Panos J.
dc.contributor.authorScoccimarro, Enrico
dc.contributor.authorRuggieri, Paolo
dc.contributor.authorGualdi, Silvio
dc.contributor.authorFedele, Giusy
dc.contributor.authorHaarsma, Reindert J.
dc.contributor.authorGarcía Serrano, Javier
dc.contributor.authorCastrillo, Miguel
dc.contributor.authorPutrahasan, D.
dc.contributor.authorSanchez-Gomez, Emilia
dc.contributor.authorMoine, Marie-Pierre
dc.contributor.authorRoberts, Christopher D.
dc.contributor.authorRoberts, Michael J.
dc.contributor.authorSeddon, J
dc.contributor.authorVidale, Pier Luigi
dc.contributor.otherBarcelona Supercomputing Center
dc.identifier.citationBellucci, A. [et al.]. Air-Sea interaction over the Gulf Stream in an ensemble of HighResMIP present climate simulations. "Climate Dynamics", 2021,
dc.description.abstractA dominant paradigm for mid-latitude air-sea interaction identifies the synoptic-scale atmospheric “noise” as the main driver for the observed ocean surface variability. While this conceptual model successfully holds over most of the mid-latitude ocean surface, its soundness over frontal zones (including western boundary currents; WBC) characterized by intense mesoscale activity, has been questioned in a number of studies suggesting a driving role for the small scale ocean dynamics (mesoscale oceanic eddies) in the modulation of air-sea interaction. In this context, climate models provide a powerful experimental device to inspect the emerging scale-dependent nature of mid-latitude air-sea interaction. This study assesses the impact of model resolution on the representation of air-sea interaction over the Gulf Stream region, in a multi-model ensemble of present-climate simulations performed using a common experimental design. Lead-lag correlation and covariance patterns between sea surface temperature (SST) and turbulent heat flux (THF) are diagnosed to identify the leading regimes of air-sea interaction in a region encompassing both the Gulf Stream system and the North Atlantic subtropical basin. Based on these statistical metrics it is found that coupled models based on “laminar” (eddy-parameterised) and eddy-permitting oceans are able to discriminate between an ocean-driven regime, dominating the region controlled by the Gulf Stream dynamics, and an atmosphere-driven regime, typical of the open ocean regions. However, the increase of model resolution leads to a better representation of SST and THF cross-covariance patterns and functional forms, and the major improvements can be largely ascribed to a refinement of the oceanic model component.
dc.description.sponsorshipThe authors of this study wish to thank two reviewers for their many insightful comments. AB, PA, ES, RH, JG-S, DP, ESG, MJR, CR, JS, PV acknowledge PRIMAVERA funding received from the European Commission under Grant Agreement 641727 of the Horizon 2020 research programme. JG-S was additionally supported by the Spanish ‘Ramón y Cajal’ programme (RYC-2016-21181). The authors declare that they have no conflict of interest. The datasets used in this work are cited in this manuscript with appropriate doi’s in publicly available archives.
dc.format.extent19 p.
dc.publisherSpringer Link
dc.rightsAttribution 3.0 Spain
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida
dc.subject.lcshOcean-atmosphere interaction
dc.subject.lcshGulf Stream
dc.subject.otherClimate simulation
dc.subject.otherAir-sea interaction
dc.subject.otherClimate models
dc.titleAir-Sea interaction over the Gulf Stream in an ensemble of HighResMIP present climate simulations
dc.subject.lemacSimulacio per ordinador
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
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
local.citation.publicationNameClimate Dynamics

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Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain