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dc.contributor.authorAyar, Pradeebane Vaittinada
dc.contributor.authorBattisti, David Stephen
dc.contributor.authorLi, Camille
dc.contributor.authorKing, Martin
dc.contributor.authorVrac, Mathieu
dc.contributor.authorTjiputra, Jerry
dc.date.accessioned2023-11-14T09:08:25Z
dc.date.available2023-11-14T09:08:25Z
dc.date.created2023-11-02T12:42:44Z
dc.date.issued2023
dc.identifier.issn2328-4277
dc.identifier.urihttps://hdl.handle.net/11250/3102339
dc.description.abstractEl Niño-Southern Oscillation (ENSO) flavors in the tropical Pacific are studied from a regime perspective. Five recurring spatial patterns or regimes characterizing the diversity of ENSO are established using a clustering approach applied to the HadISST sea surface temperature (SST) anomalies. Compared to previous studies, our approach gives a monthly characterization of the diversity of the warm and cold phases of ENSO established from observations but commonly applied to models and observations. Two warm (eastern and central El Niño), two cold (basin wide and central La Niña) and a neutral reference regimes are found. Simulated SST anomalies by the models from the latest Coupled Model Intercomparison Project Phase 6 are then matched to these reference regimes. This allows for a consistent assessment of the skill of the models in reproducing the reference regimes over the historical period and the change in these regimes under the high-warming Shared Socio-economic Pathway (SSP5.8.5) scenario. Results over the historical period show that models simulate well the reference regimes with some discrepancies. Models simulate more intense and spatially extended ENSO patterns and have issues in capturing the correct regime seasonality, persistence, and transition between regimes. Some models also have difficulty simulating the frequency of regimes, the eastern El Niño regime in particular. In the future, both El Niño and central La Niña regimes are expected to be more frequent accompanied with a less frequent neutral regime. The central Pacific El Niño and La Niña regimes are projected to increase in amplitude and variability.en_US
dc.language.isoengen_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleA Regime View of ENSO Flavors Through Clustering in CMIP6 Modelsen_US
dc.title.alternativeA Regime View of ENSO Flavors Through Clustering in CMIP6 Modelsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.rights.holder© 2023 The Authorsen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1029/2022EF003460
dc.identifier.cristin2191434
dc.source.journalEarth's Futureen_US
dc.source.volume11en_US
dc.source.issue11en_US
dc.relation.projectSigma2: 9252en_US
dc.relation.projectSigma2: 1002en_US
dc.relation.projectNorges forskningsråd: 275268en_US
dc.relation.projectNorges forskningsråd: 318477en_US
dc.relation.projectNorges forskningsråd: 322912en_US


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Navngivelse-Ikkekommersiell 4.0 Internasjonal
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