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dc.contributor.authorSchepper, R
dc.contributor.authorAlmar, R
dc.contributor.authorBergsma, E
dc.contributor.authorde Vries, S
dc.contributor.authorReniers, A
dc.contributor.authorMikhalenko, Natalia
dc.contributor.authorSplinter, K
dc.date.accessioned2021-10-19T11:15:45Z
dc.date.available2021-10-19T11:15:45Z
dc.date.issued2021-05-27
dc.identifier.issn2077-1312
dc.identifier.issn2077-1312
dc.identifier.otherARTN 582
dc.identifier.urihttp://hdl.handle.net/10026.1/18110
dc.description.abstract

<jats:p>In this paper, a new approach to model wave-driven, cross-shore shoreline change incorporating multiple timescales is introduced. As a base, we use the equilibrium shoreline prediction model ShoreFor that accounts for a single timescale only. High-resolution shoreline data collected at three distinctly different study sites is used to train the new data-driven model. In addition to the direct forcing approach used in most models, here two additional terms are introduced: a time-upscaling and a time-downscaling term. The upscaling term accounts for the persistent effect of short-term events, such as storms, on the shoreline position. The downscaling term accounts for the effect of long-term shoreline modulations, caused by, for example, climate variability, on shorter event impacts. The multi-timescale model shows improvement compared to the original ShoreFor model (a normalized mean square error improvement during validation of 18 to 59%) at the three contrasted sandy beaches. Moreover, it gains insight in the various timescales (storms to inter-annual) and reveals their interactions that cause shoreline change. We find that extreme forcing events have a persistent shoreline impact and cause 57–73% of the shoreline variability at the three sites. Moreover, long-term shoreline trends affect short-term forcing event impacts and determine 20–27% of the shoreline variability.</jats:p>

dc.format.extent582-582
dc.languageen
dc.language.isoen
dc.publisherMDPI
dc.subjectequilibrium shoreline modelling
dc.subjectShoreFor
dc.subjectcross-shore sediment transport
dc.subjectmultiple timescales
dc.titleModelling Cross-Shore Shoreline Change on Multiple Timescales and Their Interactions
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000667022200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue6
plymouth.volume9
plymouth.publication-statusPublished online
plymouth.journalJournal of Marine Science and Engineering
dc.identifier.doi10.3390/jmse9060582
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2021-05-23
dc.rights.embargodate2021-10-20
dc.identifier.eissn2077-1312
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.3390/jmse9060582
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-05-27
rioxxterms.typeJournal Article/Review


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