Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/80148

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Campo DCValorIdioma
dc.contributor.authorIglesias, Isabelpor
dc.contributor.authorBio, Anapor
dc.contributor.authorWeber de Melo, Willianpor
dc.contributor.authorAvilez-Valente, Paulopor
dc.contributor.authorPinho, José L. S.por
dc.contributor.authorCruz, Mariana Reis Monteiropor
dc.contributor.authorGomes, Ana Carolina Magalhãespor
dc.contributor.authorVieira, J.M.P.por
dc.contributor.authorBastos, Luísapor
dc.contributor.authorVeloso-Gomes, Fernandopor
dc.date.accessioned2022-10-14T12:53:27Z-
dc.date.available2022-10-14T12:53:27Z-
dc.date.issued2022-06-20-
dc.identifier.citationIglesias, I.; Bio, A.; Melo, W.; Avilez-Valente, P.; Pinho, J.; Cruz, M.; Gomes, A.; Vieira, J.; Bastos, L.; Veloso-Gomes, F. Hydrodynamic Model Ensembles for Climate Change Projections in Estuarine Regions. Water 2022, 14, 1966. https://doi.org/10.3390/w14121966por
dc.identifier.urihttps://hdl.handle.net/1822/80148-
dc.description.abstractIn the current context of climate change, understanding the effects of the changing conditions on estuaries is of utmost importance to protect populations and ecosystems. Given the diversity of impacts depending on the region, there is a need for local and dedicated studies to understand and mitigate the risks. Numerical models can provide forecasts of extreme floods and sea-level rise (SLR). However, they can present inaccuracies. In this work, the ensemble technique was applied to improve the numerical modeling forecasting for estuaries by considering scenarios of extreme river flow discharges (EFDs) and SLR scenarios for 2050 and 2100. The simulations were performed for two different estuarine regions in northern Portugal, and the superensemble was constructed with the results of two different numerical models. The results differed per estuary, highlighting the importance of a local approach. For the Douro estuary dynamics, the results showed that for the EFD, the effects of the SLR were not noticeable, indicating that, in this estuary, the river component was more important than the maritime component. In contrast, the Minho estuary dynamics were found to be affected by the SLR along the whole estuarine region, indicating a maritime influence and a worsening of the flood conditions for future scenarios.por
dc.description.sponsorshipThis research was partially supported by the Strategic Funding UIDB/04423/2020 and UIDP/04423/2020 through national funds provided by the FCT—Foundation for Science and Technology and European Regional Development Fund (ERDF). This contribution was also funded by the project EsCo-Ensembles (PTDC/ECI-EGC/30877/2017), co-financed by NORTE 2020, Portugal 2020, and the European Union through the ERDF, and by the FCT through national funds.por
dc.language.isoengpor
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)por
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04423%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04423%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FECI-EGC%2F30877%2F2017/PTpor
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectEstuariespor
dc.subjectHydrodynamicspor
dc.subjectEnsemblepor
dc.subjectNumerical modelspor
dc.subjectExtreme eventspor
dc.subjectClimate changepor
dc.titleHydrodynamic model ensembles for climate change projections in estuarine regionspor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.mdpi.com/2073-4441/14/12/1966por
oaire.citationStartPage1por
oaire.citationEndPage18por
oaire.citationIssue12por
oaire.citationVolume14por
dc.date.updated2022-06-23T12:13:15Z-
dc.identifier.eissn2073-4441-
dc.identifier.doi10.3390/w14121966por
dc.subject.wosScience & Technologypor
sdum.journalWaterpor
oaire.versionVoRpor
dc.identifier.articlenumber1966por
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