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dc.contributor.authorRepina, Oxana : Carvalho, Rafael C. : Coco, Giovanni : Antolinez, Jose A. A.
dc.contributor.authorde Santiago, Inaki
dc.contributor.authorHarley, Mitchell D.
dc.contributor.authorJaramillo, Camilo
dc.contributor.authorSplinter, Kristen D.
dc.contributor.authorVitousek, Sean
dc.contributor.authorWoodroffe, Colin D.
dc.date.accessioned2025-11-13T12:27:36Z-
dc.date.available2025-11-13T12:27:36Z-
dc.date.issued2025
dc.identifierWOS:001460199000001
dc.identifier.issn0378-3839
dc.identifier.urihttp://dspace.azti.es/handle/24689/2483-
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 `reducedcomplexity' 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.
dc.language.isoEnglish
dc.publisherELSEVIER
dc.subjectReduced-complexity models
dc.subjectEquilibrium models
dc.subjectShoreline evolution
dc.subjectCross-shore transport
dc.subjectLongshore transport
dc.subjectSEA-LEVEL RISE
dc.subjectWAVE CLIMATE
dc.subjectPARAMETER-ESTIMATION
dc.subjectGLOBAL OPTIMIZATION
dc.subjectEQUILIBRIUM-MODEL
dc.subjectCOASTAL EROSION
dc.subjectDATA-DRIVEN
dc.subjectBRUUN RULE
dc.subjectSURF ZONES
dc.subjectVARIABILITY
dc.titleEvaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach
dc.typeArticle
dc.identifier.journalCOASTAL ENGINEERING
dc.format.volume199
dc.contributor.funderARC DP
dc.contributor.funderWarringah/Northern Beaches Council
dc.contributor.funderAustralian Government Research Training Program Scholarship
dc.contributor.funderAustralian Government
dc.contributor.funderKOSTARISK joint laboratory
dc.contributor.funderRegions4Climate project
dc.contributor.funderUrban Klima [2050-LIFE 18 IPC 000001]
dc.contributor.funderThinkInAzul programme
dc.contributor.funderMCIN/Ministerio de Ciencia e Innovacion - European Union NextGeneration EU [PRTR-C17.I1]
dc.contributor.funderMargarita Salas post-doctoral fellowship - European UnionNextGenerationEU, Ministry of Universities
dc.contributor.funderARC Future Fellowship [FT220100009]
dc.contributor.funderAustralian Research Council [FT220100009] Funding Source: Australian Research Council
dc.identifier.e-issn1872-7379
dc.identifier.doi10.1016/j.coastaleng.2025.104738
Aparece en las tipos de publicación: Artículos científicos



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