Impact of equatorial Atlantic variability on ENSO predictive skill

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dc.contributor.authorExarchou, Eleftheria
dc.contributor.authorOrtega, Pablo
dc.contributor.authorRodríguez Fonseca, María Belén
dc.contributor.authorLosada Doval, Teresa
dc.contributor.authorPolo Sánchez, Irene
dc.contributor.authorProdhomme, Cloé
dc.date.accessioned2023-06-17T09:03:06Z
dc.date.available2023-06-17T09:03:06Z
dc.date.issued2021-03-12
dc.description© The Author(s) 2021. E.E.’s work was supported by the FP7-PREFACE project (grant agreement number: 603521) and the H2020 project TRIATLAS (grant agreement number: 817578). C.P. was supported by a Spanish Juan de la Cierva (JCI-2016-30802) fellowship and P.O. by a Ramón y Cajal (RyC-2017-22772) fellowship. B.R.d.F., T.L., and I.P. are supported by the European Union Seventh Framework Program (FP7/2007-2013) under Grant Agreement 603521 (PREFACE-EU project) and the Spanish Project CGL2017-86415-R. We are grateful to Francisco J. Doblas Reyes for his valuable feedback.
dc.description.abstractEl Niño-Southern Oscillation (ENSO) is a key mode of climate variability with worldwide climate impacts. Recent studies have highlighted the impact of other tropical oceans on its variability. In particular, observations have demonstrated that summer Atlantic Niños (Niñas) favor the development of Pacific Niñas (Niños) the following winter, but it is unclear how well climate models capture this teleconnection and its role in defining the seasonal predictive skill of ENSO. Here we use an ensemble of seasonal forecast systems to demonstrate that a better representation of equatorial Atlantic variability in summer and its lagged teleconnection mechanism with the Pacific relates to enhanced predictive capacity of autumn/winter ENSO. An additional sensitivity study further shows that correcting SST variability in equatorial Atlantic improves different aspects of forecast skill in the Tropical Pacific, boosting ENSO skill. This study thus emphasizes that new efforts to improve the representation of equatorial Atlantic variability, a region with long standing systematic model biases, can foster predictive skill in the region, the Tropical Pacific and beyond, through the global impacts of ENSO.
dc.description.departmentDepto. de Física de la Tierra y Astrofísica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipUnión Europea. Horizonte 2020
dc.description.sponsorshipUnión Europea. FP7
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/65032
dc.identifier.doi10.1038/s41467-021-21857-2
dc.identifier.issn2041-1723
dc.identifier.officialurlhttp://dx.doi.org/10.1038/s41467-021-21857-2
dc.identifier.relatedurlhttps://www.nature.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/8040
dc.issue.number1
dc.journal.titleNature communications
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.projectIDPREFACE (603521)
dc.relation.projectIDTRIATLAS (817578)
dc.relation.projectID(RyC-2017-22772; JCI-2016-30802; CGL2017-86415-R)
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu52
dc.subject.ucmFísica atmosférica
dc.subject.unesco2501 Ciencias de la Atmósfera
dc.titleImpact of equatorial Atlantic variability on ENSO predictive skill
dc.typejournal article
dc.volume.number12
dspace.entity.typePublication
relation.isAuthorOfPublicationa3494605-922c-4914-8015-fb37bf6f596a
relation.isAuthorOfPublication3b36c31e-a46b-4f43-896b-bb0ec386447d
relation.isAuthorOfPublication.latestForDiscoverya3494605-922c-4914-8015-fb37bf6f596a
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