Shorecasts: A Blind-Test of Shoreline Models

Montaño, Jennifer; Coco, Giovanni; Antolínez, José A. Á.; Beuzen, Tomas; Bryan, Karin R; Cagigal, Laura; Castelle, Bruno; Davidson, Mark; Goldstein, Evan B.; Vega, Rai Ibaceta; Idier, Déborah; Ludka, B. C.; Ansari, Sina Masoud; Méndez, Fernando J.; Murray, A. Brad; Plant, Nathaniel G.; Robinet, Arthur; Rueda, Ana; Sénéchal, Nadia; Simmons, J V; Splinter, Kristen D.; Stephens, Scott; Townend, Ian; Vitousek, Sean; Vos, Kilian

doi:10.1142/9789811204487_0055

Cited by 2 publications

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“…It is important to note that calibration of LX-Shore, which is a one-line model, relies on only four free parameters for the entire embayment. This contrasts with other existing shoreline change models coupling cross-shore and longshore processes (Vitousek et al, 2017;Antolínez et al, 2019), which rely on a specific calibration for every cross-shore transect along the coast. These models therefore require multiple calibration experiments, resulting in a number of free parameters of, at least, an order of magnitude larger than that for LX-Shore.…”

Section: Lx-shore Limitations and Opportunitiesmentioning

confidence: 86%

“…This includes the possibility of varying the mean sea level throughout the simulation, which drives slow shoreline retreat based on the Bruun rule (Bruun, 1962) and potentially affects the transformation of onshore-propagating waves across non-erodible offshore bathymetry, and, in turn, breaking wave conditions and sediment transport along the coast. Preliminary tests of shoreline change modelling with LX-Shore involving variations in prevailing wave conditions have been done in the frame of Shorecast (Montaño et al, 2019). Such modelling work may provide new insight into embayed beach behaviour in a changing climate.…”

Section: Lx-shore Limitations and Opportunitiesmentioning

confidence: 99%

“…Turki et al, 2013;Ratliff and Murray, 2014). More recently, shoreline change models coupling cross-shore and longshore processes have emerged (Vitousek et al, 2017;Robinet et al, 2018;Antolínez et al, 2019). Amongst these models, LX-Shore (Robinet et al, 2018) can handle complex shoreline geometries (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Controls of local geology and cross-shore/longshore processes on embayed beach shoreline variability

et al. 2020

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Shoreline variability along the 3.6-km long Narrabeen Beach embayment in SE Australia is investigated over a 5-year period. We apply the one-line shoreline change model LX-Shore, which couples longshore and cross-shore processes and can handle complex shoreline planforms, non-erodible emerged headlands and submerged rocky features. The model skilfully reproduces the three dominant modes of shoreline variability, which are by decreasing order of variance: cross-shore migration, rotation, and a third mode possibly related to breathing. Model results confirm previous observations that longshore processes primarily contribute to the rotation and third modes on the timescales of months to seasons, while cross-shore processes control the shoreline migration on shorter timescales from hours (storms) to months. Additional simulations simplifying progressively the bathymetry show how the inherent geology strongly modulates the spatial modes of shoreline variability. The offshore central rocky outcrop is found to limit the rotation. In contrast, the submerged rocky platforms that extend from the headlands enhance the shoreline rotation mode and increase alongshore variability of the cross-shore migration mode, owing to increased alongshore variability in wave exposure. Offshore wave transformation across large-scale submerged rocky features and headland shape are therefore critical to contemporary shoreline dynamics.

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Section: Lx-shore Limitations and Opportunitiesmentioning

confidence: 86%

Section: Lx-shore Limitations and Opportunitiesmentioning

confidence: 99%

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Controls of local geology and cross-shore/longshore processes on embayed beach shoreline variability

et al. 2020

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“…At other sites, such as in coastal embayments where the rotation signal may dominate (refer Chapter 24 Beach rotation), more complex hybrid shoreline models must be developed and applied. Such models have been recently developed (Vitousek et al, 2017;Robinet et al, 2018;Antonilez et al, 2019) which open up new perspectives to improve our understanding and predictive ability of shoreline response to storm and recovery in complex hydrodynamic and geological settings. A third model category, referred to as datadriven models range from simple autoregressive models to machine learning techniques (e.g.…”

Section: Future Perspectives and Knowledge Gapsmentioning

confidence: 99%

Extreme events: impact and recovery

Castelle

Harley

2020

Sandy Beach Morphodynamics

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Sandy coast changes on timescales from days to years and sometimes decades, primarily result from the erosion-recovery (im)balance that is controlled by the respective contributions of storms and recovery conditions. Over the last decade, our understanding and predictive ability of storm-driven erosion and subsequent multi-day to multi-annual recovery has greatly improved, notably thanks to long-term and rapidresponse coastal monitoring programs. This chapter gives a broad overview of the definitions and processes that control storm-driven beach and dune erosion and subsequent (partial, complete or excess) recovery. Key conceptual concepts are illustrated using two well-documented case studies: response and (partial) multi-annual recovery from (1) over a severe winter period along the Atlantic coast of Europe characterised by unusually strong storm clustering episode; and (2) from a single severe storm with an anomalous wave direction along the southeast coastline of Australia. Finally, future perspectives and knowledge gaps in relation to impacts and recovery from extreme events are discussed.

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Shorecasts: A Blind-Test of Shoreline Models

Cited by 2 publications

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Controls of local geology and cross-shore/longshore processes on embayed beach shoreline variability

Controls of local geology and cross-shore/longshore processes on embayed beach shoreline variability

Extreme events: impact and recovery

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