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dc.contributor.authorRepina, Oxana
dc.contributor.authorCarvalho, Rafael C.
dc.contributor.authorCoco, Giovanni
dc.contributor.authorÁlvarez Antolínez, José Antonio
dc.contributor.authorDe Santiago, Iñaki
dc.contributor.authorHarley, Mitchell D.
dc.contributor.authorJaramillo Cardona, Camilo 
dc.contributor.authorSplinter, Kristen D.
dc.contributor.authorVitousek, Sean
dc.contributor.authorWoodroffe, Colin D.
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-06-02T11:55:15Z
dc.date.available2025-06-02T11:55:15Z
dc.date.issued2025-06-15
dc.identifier.issn0378-3839
dc.identifier.issn1872-7379
dc.identifier.urihttps://hdl.handle.net/10902/36471
dc.description.abstractRobust and reliable models are needed to understand how coastlines will evolve over the coming decades, driven by both natural variability and climate change. This study evaluated how accurately five popular 'reduced-complexity' models replicate multi-decadal shoreline change at Narrabeen-Collaroy Beach, a sandy embayment in Sydney, Australia. Measured shoreline positions derived from approximately monthly field surveys were used for 20-year calibration and 20-year validation periods. The models performed similarly on average but with large variability between transects. The set-up of several models was modified to compensate for their sensitivity to imperfect input wave data, and further site-specific improvements were identified. Capturing interannual to decadal-scale variability in cross-shore and longshore dynamics at this site was challenging for all five models. Models appeared to aggregate key processes at this timescale into parameter values rather than representing them directly. This suggests time-varying parameters or changes to model structure may be necessary for decadal-scale simulations.es_ES
dc.description.sponsorshipOxana Repina acknowledges the support of an Australian Government Research Training Program Scholarship, as well as the resources and services provided by the University of Wollongong partner share of the NCI, which is supported by the Australian Government. Iñaki de Santiago acknowledges the support of the KOSTARISK joint laboratory (funded by AZTI, UPPA and RPT), Regions4Climate project (Horizon Europe, DOI: 10.3030/101093873) and the Urban Klima 2050–LIFE 18 IPC 000001 project (European Union's LIFE program). Camilo Jaramillo (C.J.) acknowledges the support of the ThinkInAzul programme, supported by MCIN/Ministerio de Ciencia e Innovación with funding from the European Union NextGeneration EU (PRTR-C17.I1) and by Comunidad de Cantabria. C.J. has also been supported by a Margarita Salas post-doctoral fellowship, funded by the European Union-NextGenerationEU, Ministry of Universities, and Recovery and Resilience Facility, through a call from the University of Cantabria. Kristen D. Splinter acknowledges support from an ARC Future Fellowship (FT220100009). This work is a contribution to the IGCP Project 725 ‘Forecasting Coastal Change’. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.es_ES
dc.format.extent24 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceCoastal Engineering, 2025, 199, 104738es_ES
dc.subject.otherReduced-complexity modelses_ES
dc.subject.otherEquilibrium modelses_ES
dc.subject.otherShoreline evolutiones_ES
dc.subject.otherCross-shore transportes_ES
dc.subject.otherLongshore transportes_ES
dc.titleEvaluating five shoreline change models against 40 years of field survey data at an embayed sandy beaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.coastaleng.2025.104738es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.coastaleng.2025.104738
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial 4.0 International