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dc.rights.licenseopenen_US
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorAZORAKOS, Georgios
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorCASTELLE, Bruno
IDREF: 087596520
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorMARIEU, Vincent
dc.contributor.authorIDIER, Déborah
dc.date.accessioned2025-02-20T12:20:53Z
dc.date.available2025-02-20T12:20:53Z
dc.date.issued2024-08
dc.identifier.issn0378-3839en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/205060
dc.description.abstractEnModelling and predicting the future of sandy shorelines is a key challenge in coastal research and is critical for sustainable coastal management. However, currently the most skillful shoreline models strongly rely on data to calibrate the free parameters, and are thus restricted to a few well monitored sites in the world. Here we address the challenges and opportunities offered by optical satellite imagery to provide useful information for equilibrium shoreline model calibration on cross-shore transport dominated sites. We focus on Truc Vert beach, southwest France, where previous work showed good equilibrium model skill to reproduce shoreline change from the time scales of hours (storms) to decades. Satellite derived waterlines are extracted over 11 years (2009–2020) and further transformed into satellite derived shorelines (SDS) with different water level corrections (e.g. tide and/or run up) and varying alongshore averaging lengths, and thus different uncertainties, in order to test model performance. Successively the timeseries duration and sampling frequency required for model calibration were also investigated. The model calibrated using the SDS data showed similar skill as the model calibrated using in-situ alongshore averaged shoreline positions, even for the uncorrected SDS dataset which Root Mean Square Error (RMSE) are approximately 30 m. Alongshore averaging was found to be the only necessary processing of the SDS data while any other site-specific corrections did not significantly improve model skill. Finally to further investigate the effect of sampling frequency and noise in the dataset we performed an analysis using a synthetic shoreline. Our results suggest that the effect of noise is negligible as long as the sampling frequency remains high (dt 30 days). Pending further validation, results show the strong potential of using uncorrected SDS dataset for shoreline model calibration at cross-shore transport dominated sandy coasts.
dc.description.sponsorshipComprendre et prévoir l'évolution contemporaine du traite de côte dans un contexte de changement climatique par assimilation de données satellite dans les modèles hybrides - ANR-21-CE01-0015en_US
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enShoreline
dc.subject.enSatellite data
dc.subject.enNumerical modelling
dc.subject.enCalibration
dc.titleSatellite-derived equilibrium shoreline modelling at a high-energy meso-macrotidal beach
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.coastaleng.2024.104536en_US
dc.subject.halSciences de l'environnementen_US
bordeaux.journalCoastal Engineeringen_US
bordeaux.page104536en_US
bordeaux.volume191en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamMETHYSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcecrossref
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcecrossref
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Satellite-derived%20equilibrium%20shoreline%20modelling%20at%20a%20high-energy%20meso-macrotidal%20beach&rft.atitle=Satellite-derived%20equilibrium%20shoreline%20modelling%20at%20a%20high-energy%20meso-macrotidal%20beach&rft.jtitle=Coastal%20Engineering&rft.date=2024-08&rft.volume=191&rft.spage=104536&rft.epage=104536&rft.eissn=0378-3839&rft.issn=0378-3839&rft.au=AZORAKOS,%20Georgios&CASTELLE,%20Bruno&MARIEU,%20Vincent&IDIER,%20D%C3%A9borah&rft.genre=article


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