Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean

The NW Mediterranean coast is highly susceptible to the impacts of extreme rainstorms and coastal storms, which often lead to flash floods, coastal erosion, and flooding across a highly urbanised territory. Often, these storms occur simultaneously, resulting in compound events that intensify local i...

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Autores: Sanuy Vázquez, Marc|||0000-0003-2711-5409, Peña Rabadán, Juan Carlos, Assimenidis Mateu, Sotiris, Jiménez Quintana, José Antonio|||0000-0003-0900-4684
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/407189
Acceso en línea:https://hdl.handle.net/2117/407189
https://dx.doi.org/10.5194/hess-28-283-2024
Access Level:acceso abierto
Palabra clave:Storms -- Mediterranean Region
Tempestes -- Catalunya
Costes -- Catalunya
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
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spelling Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW MediterraneanSanuy Vázquez, Marc|||0000-0003-2711-5409Peña Rabadán, Juan CarlosAssimenidis Mateu, SotirisJiménez Quintana, José Antonio|||0000-0003-0900-4684Storms -- Mediterranean RegionTempestes -- CatalunyaCostes -- CatalunyaÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costesThe NW Mediterranean coast is highly susceptible to the impacts of extreme rainstorms and coastal storms, which often lead to flash floods, coastal erosion, and flooding across a highly urbanised territory. Often, these storms occur simultaneously, resulting in compound events that intensify local impacts when they happen in the same location or spread impacts across the territory when they occur in different areas. These multivariate and spatially compound events present significant challenges for risk management, potentially overwhelming emergency services. In this study, we analysed the prevailing atmospheric conditions during various types of extreme episodes, aiming to create the first classification of synoptic weather patterns (SWPs) conducive to compound events involving heavy rainfall and storm waves in the Spanish NW Mediterranean. To achieve this, we developed a methodological framework that combines an objective synoptic classification method based on principal component analysis and k-means clustering with a Bayesian network. This methodology was applied to a dataset comprising 562 storm events recorded over 30 years, including 112 compound events. First, we used the framework to determine the optimal combination of domain size, classification variables, and number of clusters based on the synoptic skill to replicate local-scale values of daily rainfall and significant wave height. Subsequently, we identified SWPs associated with extreme compound events, which are often characterised by upper-level lows and trough structures in conjunction with Mediterranean cyclones, resulting in severe to extreme coastal storms combined with convective systems. The obtained classification demonstrated strong skill, with scores exceeding 0.4 when considering factors like seasonality or the North Atlantic Oscillation. These findings contribute to a broader understanding of compound terrestrial–maritime extreme events in the study area and have the potential to aid in the development of effective risk management strategies.This study was conducted within the framework of the C3RiskMed (PID2020-113638RB-C21) research project funded by the Spanish Ministry of Science and Innovation. The authors express their gratitude to AEMET for supplying rain data and SMC for supplying rain data and wave data.Peer ReviewedObjectius de Desenvolupament Sostenible::13 - Acció per al ClimaEuropean Geosciences Union (EGU)20242024-01-0120242024-04-26journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/407189https://dx.doi.org/10.5194/hess-28-283-2024reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-113638RB-C21 RIESGOS NATURALES COMPUESTOS Y CONECTADOS EN LA COSTA MEDITERRANEA ESPAÑOLA ANTE EL CAMBIO CLIMATICO - MARopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4071892026-05-27T15:37:01Z
dc.title.none.fl_str_mv Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
title Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
spellingShingle Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
Sanuy Vázquez, Marc|||0000-0003-2711-5409
Storms -- Mediterranean Region
Tempestes -- Catalunya
Costes -- Catalunya
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
title_short Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
title_full Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
title_fullStr Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
title_full_unstemmed Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
title_sort Synoptic weather patterns conducive to compound extreme rainfall–wave events in the NW Mediterranean
dc.creator.none.fl_str_mv Sanuy Vázquez, Marc|||0000-0003-2711-5409
Peña Rabadán, Juan Carlos
Assimenidis Mateu, Sotiris
Jiménez Quintana, José Antonio|||0000-0003-0900-4684
author Sanuy Vázquez, Marc|||0000-0003-2711-5409
author_facet Sanuy Vázquez, Marc|||0000-0003-2711-5409
Peña Rabadán, Juan Carlos
Assimenidis Mateu, Sotiris
Jiménez Quintana, José Antonio|||0000-0003-0900-4684
author_role author
author2 Peña Rabadán, Juan Carlos
Assimenidis Mateu, Sotiris
Jiménez Quintana, José Antonio|||0000-0003-0900-4684
author2_role author
author
author
dc.subject.none.fl_str_mv Storms -- Mediterranean Region
Tempestes -- Catalunya
Costes -- Catalunya
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
topic Storms -- Mediterranean Region
Tempestes -- Catalunya
Costes -- Catalunya
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes
description The NW Mediterranean coast is highly susceptible to the impacts of extreme rainstorms and coastal storms, which often lead to flash floods, coastal erosion, and flooding across a highly urbanised territory. Often, these storms occur simultaneously, resulting in compound events that intensify local impacts when they happen in the same location or spread impacts across the territory when they occur in different areas. These multivariate and spatially compound events present significant challenges for risk management, potentially overwhelming emergency services. In this study, we analysed the prevailing atmospheric conditions during various types of extreme episodes, aiming to create the first classification of synoptic weather patterns (SWPs) conducive to compound events involving heavy rainfall and storm waves in the Spanish NW Mediterranean. To achieve this, we developed a methodological framework that combines an objective synoptic classification method based on principal component analysis and k-means clustering with a Bayesian network. This methodology was applied to a dataset comprising 562 storm events recorded over 30 years, including 112 compound events. First, we used the framework to determine the optimal combination of domain size, classification variables, and number of clusters based on the synoptic skill to replicate local-scale values of daily rainfall and significant wave height. Subsequently, we identified SWPs associated with extreme compound events, which are often characterised by upper-level lows and trough structures in conjunction with Mediterranean cyclones, resulting in severe to extreme coastal storms combined with convective systems. The obtained classification demonstrated strong skill, with scores exceeding 0.4 when considering factors like seasonality or the North Atlantic Oscillation. These findings contribute to a broader understanding of compound terrestrial–maritime extreme events in the study area and have the potential to aid in the development of effective risk management strategies.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
2024
2024-04-26
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/407189
https://dx.doi.org/10.5194/hess-28-283-2024
url https://hdl.handle.net/2117/407189
https://dx.doi.org/10.5194/hess-28-283-2024
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-113638RB-C21 RIESGOS NATURALES COMPUESTOS Y CONECTADOS EN LA COSTA MEDITERRANEA ESPAÑOLA ANTE EL CAMBIO CLIMATICO - MAR
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv European Geosciences Union (EGU)
publisher.none.fl_str_mv European Geosciences Union (EGU)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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