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...
| Autores: | , , , |
|---|---|
| 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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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/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
European Geosciences Union (EGU) |
| publisher.none.fl_str_mv |
European Geosciences Union (EGU) |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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