Modelling Cross-Shore Shoreline Change on Multiple Timescales and Their Interactions
dc.contributor.author | Schepper, R | |
dc.contributor.author | Almar, R | |
dc.contributor.author | Bergsma, E | |
dc.contributor.author | de Vries, S | |
dc.contributor.author | Reniers, A | |
dc.contributor.author | Mikhalenko, Natalia | |
dc.contributor.author | Splinter, K | |
dc.date.accessioned | 2021-10-19T11:15:45Z | |
dc.date.available | 2021-10-19T11:15:45Z | |
dc.date.issued | 2021-05-27 | |
dc.identifier.issn | 2077-1312 | |
dc.identifier.issn | 2077-1312 | |
dc.identifier.other | ARTN 582 | |
dc.identifier.uri | http://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.extent | 582-582 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | MDPI | |
dc.subject | equilibrium shoreline modelling | |
dc.subject | ShoreFor | |
dc.subject | cross-shore sediment transport | |
dc.subject | multiple timescales | |
dc.title | Modelling Cross-Shore Shoreline Change on Multiple Timescales and Their Interactions | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000667022200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 6 | |
plymouth.volume | 9 | |
plymouth.publication-status | Published online | |
plymouth.journal | Journal of Marine Science and Engineering | |
dc.identifier.doi | 10.3390/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.dateAccepted | 2021-05-23 | |
dc.rights.embargodate | 2021-10-20 | |
dc.identifier.eissn | 2077-1312 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.3390/jmse9060582 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2021-05-27 | |
rioxxterms.type | Journal Article/Review |