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Impact of model free parameters and sea-level rise uncertainties on 20-years shoreline hindcast: the case of Truc Vert beach (SW France)
D'ANNA, Maurizio
Bureau de Recherches Géologiques et Minières [BRGM]
Environnements et Paléoenvironnements OCéaniques [EPOC]
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Bureau de Recherches Géologiques et Minières [BRGM]
Environnements et Paléoenvironnements OCéaniques [EPOC]
D'ANNA, Maurizio
Bureau de Recherches Géologiques et Minières [BRGM]
Environnements et Paléoenvironnements OCéaniques [EPOC]
< Reduce
Bureau de Recherches Géologiques et Minières [BRGM]
Environnements et Paléoenvironnements OCéaniques [EPOC]
Language
EN
Article de revue
This item was published in
Earth Surface Processes and Landforms. 2020-03-15, vol. 45, p. 1895 - 1907
English Abstract
Shoreline change is driven by various complex processes interacting at a large range of temporal and spatial scales, making shoreline reconstructions and predictions challenging and uncertain. Despite recent progress in ...Read more >
Shoreline change is driven by various complex processes interacting at a large range of temporal and spatial scales, making shoreline reconstructions and predictions challenging and uncertain. Despite recent progress in addressing uncertainties related to the physics of sea-level rise, very little effort is made towards understanding and reducing the uncertainties related to wave-driven shoreline response. To fill this gap, 2 the uncertainties associated with the long-term modelling of shoreline change are analysed at a high-energy cross-shore transport dominated site. Using the state-of-the-art LX-Shore shoreline change model, we produce a probabilistic shoreline reconstruction, based on 3000 simulations over the past 20 years at Truc Vert beach, southwest France, whereby sea-level rise rate, depth of closure and three model free parameters are considered uncertain variables. We further address the relative impact of each source of uncertainty on the model results performing a Global Sensitivity Analysis. This analysis shows that the shoreline changes are mainly sensitive to the three parameters of the wave-driven model, but also that the sensitivity to each of these parameters is strongly modulated seasonally and interannually, in relation with wave energy variability, and depends on the time scale of interest. These results have strong implications on the model skill sensitivity to the calibration period as well as for the predictive skill of the model in a context of future climate change affecting wave climate and extremes.Read less <
English Keywords
Truc Vert
Global Sensitivity Analysis (GSA)
Sea-level rise
Shoreline modelling
Erosion
Uncertainties
ANR Project
Marier les objectifs de défense côtière avec ceux de la protection du milieu naturel grâce aux dunes sableuses - ANR-17-CE01-0014