Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland

Storm surges are the most important driver of flooding in many coastal areas. Understanding the spatial extent of storm surge events has important financial and practical implications for flood risk management, reinsurance, infrastructure reliability and emergency response. In this paper, we apply a...

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Autores: Camus Braña, Paula, Haigh, Ivan D., Quinn, Niall, Wahl, Thomas, Benson, Thomas, Gouldby, Ben, Nasr, Ahmed A., Rashid, Md Mamunur, Rodríguez Enríquez, Alejandra, Darby, Stephen E., Nicholls, Robert J., Nadal-Caraballo, Norberto C.
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/33023
Acesso em linha:https://hdl.handle.net/10902/33023
Access Level:acceso abierto
Palavra-chave:Storm surge
Extremes
Spatial footprints
Storm tracks
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spelling Tracking the spatial footprints of extreme storm surges around the coastline of the UK and IrelandCamus Braña, PaulaHaigh, Ivan D.Quinn, NiallWahl, ThomasBenson, ThomasGouldby, BenNasr, Ahmed A.Rashid, Md MamunurRodríguez Enríquez, AlejandraDarby, Stephen E.Nicholls, Robert J.Nadal-Caraballo, Norberto C.Storm surgeExtremesSpatial footprintsStorm tracksStorm surges are the most important driver of flooding in many coastal areas. Understanding the spatial extent of storm surge events has important financial and practical implications for flood risk management, reinsurance, infrastructure reliability and emergency response. In this paper, we apply a new tracking algorithm to a high-resolution surge hindcast (CODEC, 1980-2017) to characterize the spatial dependence and temporal evolution of extreme surge events along the coastline of the UK and Ireland. We quantify the severity of each spatial event based on its footprint extremity to select and rank the collection of events. Several surge footprint types are obtained based on the most impacted coastal stretch from each particular event, and these are linked to the driving storm tracks. Using the collection of the extreme surge events, we assess the spatial distribution and interannual variability of the duration, size, severity, and type. We find that the northeast coastline is most impacted by the longest and largest storm surge events, while the English Channel experiences the shortest and smallest storm surge events. The interannual variability indicates that the winter seasons of 1989-90 and 2013-14 were the most serious in terms of the number of events and their severity, based on the return period along the affected coastlines. The most extreme surge event and the highest number of events occurred in the winter season 1989-90, while the proportion of events with larger severities was higher during the winter season 2013-14. This new spatial analysis approach of surge extremes allows us to distinguish several categories of spatial footprints of events around the UK/Ireland coast and link these to distinct storm tracks. The spatial dependence structures detected can improve multivariate statistical methods which are crucial inputs to coastal flooding assessments.P.C., I.D.H., S.E.D and R.J.N’s time on this research has been sup ported by the UK NERC grant CHANCE (grant no. NE/S010262/1). T.W and A.N have been supported by the National Science Foundation under NSF Grant Numbers 1929382, 2141461, and 2103754. The storm tracking algorithm used in this study was developed by T.B, B.G and N.C. N-C in a study lead by HR Wallingford and funded by the U.S. Army Corps of Engineers.Elsevier B.V.Universidad de Cantabria20242024-06-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/33023Weather and Climate Extremes, 2024, 44, 100662reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/330232026-06-02T12:39:31Z
dc.title.none.fl_str_mv Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
title Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
spellingShingle Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
Camus Braña, Paula
Storm surge
Extremes
Spatial footprints
Storm tracks
title_short Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
title_full Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
title_fullStr Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
title_full_unstemmed Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
title_sort Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland
dc.creator.none.fl_str_mv Camus Braña, Paula
Haigh, Ivan D.
Quinn, Niall
Wahl, Thomas
Benson, Thomas
Gouldby, Ben
Nasr, Ahmed A.
Rashid, Md Mamunur
Rodríguez Enríquez, Alejandra
Darby, Stephen E.
Nicholls, Robert J.
Nadal-Caraballo, Norberto C.
author Camus Braña, Paula
author_facet Camus Braña, Paula
Haigh, Ivan D.
Quinn, Niall
Wahl, Thomas
Benson, Thomas
Gouldby, Ben
Nasr, Ahmed A.
Rashid, Md Mamunur
Rodríguez Enríquez, Alejandra
Darby, Stephen E.
Nicholls, Robert J.
Nadal-Caraballo, Norberto C.
author_role author
author2 Haigh, Ivan D.
Quinn, Niall
Wahl, Thomas
Benson, Thomas
Gouldby, Ben
Nasr, Ahmed A.
Rashid, Md Mamunur
Rodríguez Enríquez, Alejandra
Darby, Stephen E.
Nicholls, Robert J.
Nadal-Caraballo, Norberto C.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Storm surge
Extremes
Spatial footprints
Storm tracks
topic Storm surge
Extremes
Spatial footprints
Storm tracks
description Storm surges are the most important driver of flooding in many coastal areas. Understanding the spatial extent of storm surge events has important financial and practical implications for flood risk management, reinsurance, infrastructure reliability and emergency response. In this paper, we apply a new tracking algorithm to a high-resolution surge hindcast (CODEC, 1980-2017) to characterize the spatial dependence and temporal evolution of extreme surge events along the coastline of the UK and Ireland. We quantify the severity of each spatial event based on its footprint extremity to select and rank the collection of events. Several surge footprint types are obtained based on the most impacted coastal stretch from each particular event, and these are linked to the driving storm tracks. Using the collection of the extreme surge events, we assess the spatial distribution and interannual variability of the duration, size, severity, and type. We find that the northeast coastline is most impacted by the longest and largest storm surge events, while the English Channel experiences the shortest and smallest storm surge events. The interannual variability indicates that the winter seasons of 1989-90 and 2013-14 were the most serious in terms of the number of events and their severity, based on the return period along the affected coastlines. The most extreme surge event and the highest number of events occurred in the winter season 1989-90, while the proportion of events with larger severities was higher during the winter season 2013-14. This new spatial analysis approach of surge extremes allows us to distinguish several categories of spatial footprints of events around the UK/Ireland coast and link these to distinct storm tracks. The spatial dependence structures detected can improve multivariate statistical methods which are crucial inputs to coastal flooding assessments.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/33023
url https://hdl.handle.net/10902/33023
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
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.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Weather and Climate Extremes, 2024, 44, 100662
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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