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Storm identification for high-energy wave climates as a tool to improve long-term analysis

2023-12Journal article Open access
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dc.contributor.authorKümmerer, Vincent
dc.contributor.authorFerreira, Óscar
dc.contributor.authorFanti, Valeria
dc.contributor.authorLoureiro, C.
dc.date.accessioned2024-01-04T12:03:35Z
dc.date.available2024-01-04T12:03:35Z
dc.date.issued2023-12
dc.description.abstractCoastal storms can cause erosion and flooding of coastal areas, often accompanied by significant social-economic disruption. As such, storm characterisation is crucial for an improved understanding of storm impacts and thus for coastal management. However, storm definitions are commonly different between authors, and storm thresholds are often selected arbitrarily, with the statistical and meteorological independence between storm events frequently being neglected. In this work, a storm identification algorithm based on statistically defined criteria was developed to identify independent storms in time series of significant wave height for high wave energy environments. This approach proposes a minimum duration between storms determined using the extremal index. The performance of the storm identification algorithm was tested against the commonly used peak-over-threshold. Both approaches were applied to 40 and 70-year-long calibrated wave reanalyses datasets for Western Scotland, where the intense and rapid succession of extratropical storms during the winter makes the identification of independent storm events notably challenging. The storm identification algorithm provides results that are consistent with regional meteorological processes and timescales, allowing to separate independent storms during periods of rapid storm succession, enabling an objective and robust storm characterisation. Identifying storms and their characteristics using the proposed algorithm allowed to determine a statistically significant increasing long-term trend in storm duration, which contributes to the increase in storm wave power in the west of Scotland. The coastal storm identification algorithm is found to be particularly suitable for high-energy, storm-dominated coastal environments, such as those located along the main global extratropical storm tracks.pt_PT
dc.description.sponsorshipFundação para a Ciências e a Tecnologia (FCT) LA/P/00069/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s00382-023-07017-wpt_PT
dc.identifier.eissn1432-0894
dc.identifier.urihttp://hdl.handle.net/10400.1/20269
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationStorm processes and impacts in geologically controlled barrier islands
dc.relationCentre for Marine and Environmental Research (CIMA)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCoastal stormpt_PT
dc.subjectStorm independencept_PT
dc.subjectWave reanalysispt_PT
dc.subjectWave powerpt_PT
dc.subjectNortheast Atlanticpt_PT
dc.subjectWestern Scotlandpt_PT
dc.titleStorm identification for high-energy wave climates as a tool to improve long-term analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleStorm processes and impacts in geologically controlled barrier islands
oaire.awardTitleCentre for Marine and Environmental Research (CIMA)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2020.07497.BD/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00350%2F2020/PT
oaire.citation.titleClimate Dynamicspt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameKümmerer
person.familyNameFerreira
person.familyNameFanti
person.familyNameLoureiro
person.givenNameVincent
person.givenNameÓscar
person.givenNameValeria
person.givenNameCarlos
person.identifier453264
person.identifier.ciencia-id3D15-4ADE-0CDF
person.identifier.ciencia-id1F1C-DF44-94C9
person.identifier.ciencia-id2C10-0A7C-C90E
person.identifier.ciencia-id011D-31BD-C6B6
person.identifier.orcid0000-0003-0925-2047
person.identifier.orcid0000-0001-9975-0036
person.identifier.orcid0000-0003-3117-3492
person.identifier.ridU-9863-2018
person.identifier.scopus-author-id23667861200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication0da09945-415f-4574-a444-268a1c05b544
relation.isAuthorOfPublication.latestForDiscovery14adf536-4f81-42de-b00f-6d1cf3b0d75e
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