Operational hydrodynamic service as a tool for coastal flood assessment

Special issue Oceanography at coastal scales: modelling, coupling, observations, and applications.-- 18 pages, 10 figures, 4 tables, 1 appendix.-- Data availability: The raw data supporting the conclusions of this article will be made available by the authors on GitHub after the finalisation of the...

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Autores: Sánchez-Artús, Xavier, Gràcia, Vicenç, Espino, Manuel, Grifoll, Manel, Simarro, Gonzalo, Guillén, Jorge, González, Marta, Sánchez-Arcilla, Agustín
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/389422
Acceso en línea:http://hdl.handle.net/10261/389422
Access Level:acceso abierto
Palabra clave:http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
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spelling Operational hydrodynamic service as a tool for coastal flood assessmentSánchez-Artús, XavierGràcia, VicençEspino, ManuelGrifoll, ManelSimarro, GonzaloGuillén, JorgeGonzález, MartaSánchez-Arcilla, Agustínhttp://metadata.un.org/sdg/13Take urgent action to combat climate change and its impactsSpecial issue Oceanography at coastal scales: modelling, coupling, observations, and applications.-- 18 pages, 10 figures, 4 tables, 1 appendix.-- Data availability: The raw data supporting the conclusions of this article will be made available by the authors on GitHub after the finalisation of the REST-COAST project. Meanwhile, data can be provided by the authors on request.-- Code availability: The code supporting the conclusions of this article will be made available by the authors on requestCoastal communities are increasingly vulnerable to storm impacts, highlighting the urgent need for predictive tools and enhanced preparedness. In this work, a comprehensive, high-resolution hydrodynamic operational service using the XBeach model is presented and tested for three urban beaches in Barcelona, NW Mediterranean Sea. The operational system is designed to provide early warnings of coastal flooding at a 3 d horizon. The operational architecture is based on Python scripts combined with task automation tools, ensuring a user-friendly system implemented on a standard desktop computer. Hydrodynamic validation of the model is carried out using data gathered during a field campaign in 2022, when a high-intensity storm occurred, resulting in a root mean square error of around 0.4 m and a skill score assessment index of 0.82. Flooding predictions were validated using videometry systems, yielding satisfactory Euclidean distances of less than 5 m for storms close to the topobathymetry collection. For storms occurring years earlier, the distances ranged between 7–15 m, underscoring the need for regular topobathymetry updates to maintain forecasting accuracy. The service provides a warning system with a specific categorisation of the event, enabling the end-users to prepare for a possible flooding. The strategy is currently running in operational mode, issuing alert warnings at the correct severity level. The outcome assists in decision-making relating to such events by utilising the operational system. The presented methodology is easily adaptable and replicable to meet user requirements or to be applied in other areas of interestThis project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101037097 (REST-COAST project)With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)Peer reviewedEuropean Geosciences UnionEuropean CommissionAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/389422reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/HE/101037097https://doi.org/10.5194/os-21-749-2025Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3894222026-05-22T06:33:51Z
dc.title.none.fl_str_mv Operational hydrodynamic service as a tool for coastal flood assessment
title Operational hydrodynamic service as a tool for coastal flood assessment
spellingShingle Operational hydrodynamic service as a tool for coastal flood assessment
Sánchez-Artús, Xavier
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
title_short Operational hydrodynamic service as a tool for coastal flood assessment
title_full Operational hydrodynamic service as a tool for coastal flood assessment
title_fullStr Operational hydrodynamic service as a tool for coastal flood assessment
title_full_unstemmed Operational hydrodynamic service as a tool for coastal flood assessment
title_sort Operational hydrodynamic service as a tool for coastal flood assessment
dc.creator.none.fl_str_mv Sánchez-Artús, Xavier
Gràcia, Vicenç
Espino, Manuel
Grifoll, Manel
Simarro, Gonzalo
Guillén, Jorge
González, Marta
Sánchez-Arcilla, Agustín
author Sánchez-Artús, Xavier
author_facet Sánchez-Artús, Xavier
Gràcia, Vicenç
Espino, Manuel
Grifoll, Manel
Simarro, Gonzalo
Guillén, Jorge
González, Marta
Sánchez-Arcilla, Agustín
author_role author
author2 Gràcia, Vicenç
Espino, Manuel
Grifoll, Manel
Simarro, Gonzalo
Guillén, Jorge
González, Marta
Sánchez-Arcilla, Agustín
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv European Commission
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
topic http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
description Special issue Oceanography at coastal scales: modelling, coupling, observations, and applications.-- 18 pages, 10 figures, 4 tables, 1 appendix.-- Data availability: The raw data supporting the conclusions of this article will be made available by the authors on GitHub after the finalisation of the REST-COAST project. Meanwhile, data can be provided by the authors on request.-- Code availability: The code supporting the conclusions of this article will be made available by the authors on request
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/389422
url http://hdl.handle.net/10261/389422
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/HE/101037097
https://doi.org/10.5194/os-21-749-2025
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv European Geosciences Union
publisher.none.fl_str_mv European Geosciences Union
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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