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dc.contributor.authorLobeto Alonso, Hector
dc.contributor.authorSemedo, Álvaro
dc.contributor.authorMenéndez García, Melisa 
dc.contributor.authorLemos, Gil
dc.contributor.authorKumar, Rajesh
dc.contributor.authorAkpinar, Adem
dc.contributor.authorDobrynin, Mikhail
dc.contributor.authorKamranzad, Bahareh
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-02-13T12:51:50Z
dc.date.available2025-02-13T12:51:50Z
dc.date.issued2023-12
dc.identifier.issn1748-9326
dc.identifier.urihttps://hdl.handle.net/10902/35529
dc.description.abstractThis study investigates the epistemic uncertainty associated with the wave propagation modeling in wave climate projections. A single-forcing, single-scenario, seven-member global wave climate projection ensemble is used, developed using three wave models with a consistent numerical domain. The uncertainty is assessed through projected changes in wave height, wave period, and wave direction. The relative importance of the wave model used and its internal parameterization are examined. The former is the dominant source of uncertainty in approximately two-thirds of the global ocean. The study reveals divergences in projected changes from runs of different models and runs of the same model with different parameterizations over 75% of the ensemble mean change in several ocean regions. Projected changes in the wave period shows the most significant uncertainties, particularly in the Pacific Ocean basin, while the wave height shows the least. Over 30% of global coastlines exhibit significant uncertainties in at least two out of the three wave climate variables analyzed. The coasts of western North America, the Maritime Continent and the Arabian Sea show the most significant wave modeling uncertainties.es_ES
dc.description.sponsorshipHL and MM acknowledge financial support by CoCliCo project, which received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 101003598, and the ThinkInAzul programme, with funding from European Union NextGenerationEU/PRTR-C17.I1 and the Comunidad de Cantabria. GL acknowledges financial support of Portuguese Fundação para a Ciência e a Tecnologia I.P./MCTES through national funds (PIDDAC)—UIDB/50019/2020—Instituto Dom Luiz.es_ES
dc.format.extent12 p.es_ES
dc.language.isoenges_ES
dc.publisherIOPes_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceEnvironmental Research Letters, 2023, 18(12), 124006es_ES
dc.subject.otherWave climatees_ES
dc.subject.otherClimate changees_ES
dc.subject.otherUncertaintyes_ES
dc.subject.otherWave modelinges_ES
dc.titleOn the assessment of the wave modeling uncertainty in wave climate projectionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1088/1748-9326/ad0137es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101003598/EU/COASTAL CLIMATE CORE SERVICES/CoCliCo/es_ES
dc.identifier.DOI10.1088/1748-9326/ad0137
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