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dc.contributor.authorOdériz Martínez, Itxaso
dc.contributor.authorLosada Rodríguez, Iñigo 
dc.contributor.authorSilva, R
dc.contributor.authorMori, N.
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-12-13T08:55:07Z
dc.date.available2024-12-13T08:55:07Z
dc.date.issued2024-07
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/10902/34652
dc.description.abstractThe co-occurrence of multiple hazards can either exacerbate or mitigate risks. The interrelationships between multiple hazards greatly depend on the spatiotemporal scale and can be difficult to detect from large to local scales. In this paper, we identified coastal regions worldwide where the leading tropical (El Niño-Southern Oscillation, ENSO) and polar (Arctic Oscillation, AO; Southern Annular Mode, SAM) modes of climate variability simultaneously modify the seasonal conditions of multiple hazards, including the near-surface wind speed and swell and wind-sea wave powers. We classified the results at the national and municipal levels, with a focus on multiple hazards simultaneously occurring in space and time. The results revealed that the ENSO modulates multiple hazards, affecting approximately 40% of coastal countries, while the polar annular modes affect approximately 30% of coastal countries. The ENSO induced a greater diversity of multiple hazards, with Asian countries (e.g., Indonesia experienced increases of +2% in wind and +7% in swell) and countries in the Americas (e.g., Peru exhibited increases of +1.5% in wind and +6% in wind-sea) the most notably affected. The SAM imposed a greater influence on swells in the eastern countries of ocean basins (+2.5% in Chile) than in other countries, while the influence of the AO was greater in Norway and the UK (+12% for wind-sea and 8% for swell). Low-lying islands exhibited notable variations in pairwise hazards between phases and seasons. Our results could facilitate the interpretation of multihazard interactions and pave the way for a wide range of potential implementations of different coastal industries.es_ES
dc.description.sponsorshipI.O. acknowledges the financial support through the Juan de La Cierva Programme FJC2021-047909-I, funded by MCIN/AEI/https://doi.org/10.13039/501100011033 and European Union (NextGenerationEU/PRTR). This study forms part of the ThinkInAzul programme and was supported by Ministerio de Ciencia e Innovación with funding from European Union NextGeneration EU (PRTR-C17.I1) and by Comunidad de Cantabria. It is also part of the FENIX Project funding by Comunidad de Cantabria.es_ES
dc.format.extent12 p.es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceScientific Reports, 2024, 14, 16998es_ES
dc.subject.otherMultihazardes_ES
dc.subject.otherWindses_ES
dc.subject.otherOcean waveses_ES
dc.subject.otherAOes_ES
dc.subject.otherSAMes_ES
dc.subject.otherENSOes_ES
dc.titleOn the need to integrate interannual natural variability into coastal multihazard assessmentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1038/s41598-024-67679-2es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1038/s41598-024-67679-2
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International