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Discussion papers | Copyright
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 22 Sep 2017

Research article | 22 Sep 2017

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Wave run-up prediction and observation in a micro-tidal beach

Diana Di Luccio1, Guido Benassai2, Giorgio Budillon1, Luigi Mucerino3, Raffaele Montella1, and Eugenio Pugliese Carratelli4 Diana Di Luccio et al.
  • 1University of Naples "Parthenope", Science and Technologies Department, Centro Direzionale Is. C4, 80143 Napoli, Italy
  • 2University of Naples "Parthenope", Engineering Department, Centro Direzionale Is. C4, 80143 Napoli, Italy
  • 3University of Genova, Department of Earth, Environment and Life Sciences, Corso Europa 26, 16132 Genova, Italy
  • 4Inter-University Consortium for the Prediction and Prevention of Major Risks Hazards (CUGRI), 84080 Penta di Fisciano (SA), Italy

Abstract. Extreme weather events have significant impacts on coastal human activities and related economy. In this scenario the forecast of sea storms and wave run-up events is a challenging goal to mitigate the wave effects on shores, piers and coastal structures. To do this, we used a computational model chain based on both community and ad hoc developed numerical models in an operational context to evaluate the beach inundation levels. At this aim, we compared the results of simulated and observed wave run-up levels on a micro-tidal beach located on the northern Tyrrhenian Sea. The offshore wave simulations have been performed by WaveWatch III model, implemented by Campania Center for Marine and Atmospheric Monitoring and Modelling (CCMMMA) – University of Naples Parthenope, which were used as initial conditions for run-up calculations using different formulas. The validation of the simulated waves was done with different observation systems. The offshore wave simulations were matched with remote sensing data, while the run-up levels calculated with different formulas were compared with observations taken from a video camera system. The usual statistical errors were taken as a measurement of the modelling system capability to properly simulate the beach run-up during a storm.

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Diana Di Luccio et al.
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