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dc.contributor.authorTu'uholoaki, Moleni
dc.contributor.authorEspejo Hermosa, Antonio
dc.contributor.authorSingh, Awnesh
dc.contributor.authorDamlamian, Herve
dc.contributor.authorWandres, Moritz
dc.contributor.authorChand, Savin
dc.contributor.authorMéndez Incera, Fernando Javier 
dc.contributor.authorFa'anunu, Ofa
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-06-27T14:10:59Z
dc.date.available2023-06-27T14:10:59Z
dc.date.issued2023-06
dc.identifier.issn0930-7575
dc.identifier.issn1432-0894
dc.identifier.urihttps://hdl.handle.net/10902/29392
dc.description.abstractTropical cyclones (TCs) as a natural hazard pose a major threat and risk to the human population globally. This threat is expected to increase in a warming climate as the frequency of severe TCs is expected to increase. In this study, the influence of different monthly sea surface temperature (SST) patterns on the locations and frequency of tropical cyclone genesis (TCG) in the Southwest Pacific (SWP) region is investigated. Using principal component analysis and k-means clustering of monthly SST between 1970 and 2019, nine statistically different SST patterns are identified. Our findings show that the more prominent ENSO patterns such as the Modoki El Niño (i.e., Modoki I and Modoki II) and Eastern Pacific (EP) El Niño impact the frequency and location of TCG significantly. Our results enhance the overall understanding of the TCG variability and the relationship between TCG and SST configurations in the SWP region. The results of this study may support early warning system in SWP by improving seasonal outlooks and quantification of the level of TC-related risks for the vulnerable Pacific Island communities.es_ES
dc.description.sponsorshipThe first author is funded under the Pacific Excellence for Research and Innovation (PERSI) scholarship of the University of the South Pacific (USP).es_ES
dc.format.extent16 p.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rights© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceClimate Dynamics, 2023, 60(11-12), 3353-3368es_ES
dc.subject.otherENSO typeses_ES
dc.subject.otherSea surface temperatureses_ES
dc.subject.otherK-means clustering algorithmes_ES
dc.subject.otherPrincipal component analysises_ES
dc.subject.otherTropical cycloneses_ES
dc.titleClustering tropical cyclone genesis on ENSO timescales in the Southwest Pacifices_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s00382-022-06497-6es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1007/s00382-022-06497-6
dc.type.versionpublishedVersiones_ES


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© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International LicenseExcepto si se señala otra cosa, la licencia del ítem se describe como © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License