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dc.contributor.authorSweet, William V.
dc.contributor.authorGenz, Ayesha S.
dc.contributor.authorMenéndez García, Melisa 
dc.contributor.authorMarra, John J.
dc.contributor.authorObeysekera, Jayantha
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-08-27T10:10:07Z
dc.date.available2024-08-27T10:10:07Z
dc.date.issued2024-07
dc.identifier.issn0094-8276
dc.identifier.issn1944-8007
dc.identifier.urihttps://hdl.handle.net/10902/33582
dc.description.abstractCoastal communities are flooding more often due to sea level rise (SLR), but some years are worse than others. We use a statistical model to show how the probabilities of coastal high waters, often referred to as extreme water levels—a combination of above average tides and storm surge—have shifted higher or lower every year with SLR and from changes in the tides and climatic (persistent weather and ocean) patterns. There are many U.S. and Pacific coastal regions where year‐to‐year variability is 15 cm or more, which is as large as the last 30 years of SLR and this pattern is projected to continue over the next 30 years. Considering additional SLR over the next 30 years could help compensate for year‐to‐year variabilityes_ES
dc.description.sponsorshipSupport was provided from the US Department of Defense (DoD) Strategic Environmental Research and Development Program (SERDP) under Project RC‐2644. Jayantha Obeysekera had support from the Institute of Environment, FIU.es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Geophysical Uniones_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceGeophysical Research Letters, 2024, 51(14), e2024GL108864es_ES
dc.titleImplications of variability and trends in coastal extreme water levelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1029/2024GL108864
dc.type.versionpublishedVersiones_ES


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