Hydrodynamic model ensembles for climate change projections in estuarine regions

Detalhes bibliográficos
Autor(a) principal: Iglesias, Isabel
Data de Publicação: 2022
Outros Autores: Bio, Ana, Melo, Willian Weber, Avilez-Valente, Paulo, Pinho, José L. S., Cruz, Mariana Reis Monteiro, Gomes, Ana Carolina Magalhães, Vieira, J.M.P., Bastos, Luísa, Veloso-Gomes, Fernando
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/80148
Resumo: In 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.
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spelling Hydrodynamic model ensembles for climate change projections in estuarine regionsEstuariesHydrodynamicsEnsembleNumerical modelsExtreme eventsClimate changeScience & TechnologyIn 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.This 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.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoIglesias, IsabelBio, AnaMelo, Willian WeberAvilez-Valente, PauloPinho, José L. S.Cruz, Mariana Reis MonteiroGomes, Ana Carolina MagalhãesVieira, J.M.P.Bastos, LuísaVeloso-Gomes, Fernando2022-06-202022-06-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/80148engIglesias, 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/w141219662073-444110.3390/w141219661966https://www.mdpi.com/2073-4441/14/12/1966info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:20:42ZPortal AgregadorONG
dc.title.none.fl_str_mv Hydrodynamic model ensembles for climate change projections in estuarine regions
title Hydrodynamic model ensembles for climate change projections in estuarine regions
spellingShingle Hydrodynamic model ensembles for climate change projections in estuarine regions
Iglesias, Isabel
Estuaries
Hydrodynamics
Ensemble
Numerical models
Extreme events
Climate change
Science & Technology
title_short Hydrodynamic model ensembles for climate change projections in estuarine regions
title_full Hydrodynamic model ensembles for climate change projections in estuarine regions
title_fullStr Hydrodynamic model ensembles for climate change projections in estuarine regions
title_full_unstemmed Hydrodynamic model ensembles for climate change projections in estuarine regions
title_sort Hydrodynamic model ensembles for climate change projections in estuarine regions
author Iglesias, Isabel
author_facet Iglesias, Isabel
Bio, Ana
Melo, Willian Weber
Avilez-Valente, Paulo
Pinho, José L. S.
Cruz, Mariana Reis Monteiro
Gomes, Ana Carolina Magalhães
Vieira, J.M.P.
Bastos, Luísa
Veloso-Gomes, Fernando
author_role author
author2 Bio, Ana
Melo, Willian Weber
Avilez-Valente, Paulo
Pinho, José L. S.
Cruz, Mariana Reis Monteiro
Gomes, Ana Carolina Magalhães
Vieira, J.M.P.
Bastos, Luísa
Veloso-Gomes, Fernando
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Iglesias, Isabel
Bio, Ana
Melo, Willian Weber
Avilez-Valente, Paulo
Pinho, José L. S.
Cruz, Mariana Reis Monteiro
Gomes, Ana Carolina Magalhães
Vieira, J.M.P.
Bastos, Luísa
Veloso-Gomes, Fernando
dc.subject.por.fl_str_mv Estuaries
Hydrodynamics
Ensemble
Numerical models
Extreme events
Climate change
Science & Technology
topic Estuaries
Hydrodynamics
Ensemble
Numerical models
Extreme events
Climate change
Science & Technology
description In 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-20
2022-06-20T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/80148
url https://hdl.handle.net/1822/80148
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Iglesias, 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/w14121966
2073-4441
10.3390/w14121966
1966
https://www.mdpi.com/2073-4441/14/12/1966
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.mail.fl_str_mv
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