Post-storm recuperation as a stepping-stone towards long-term integrated modelling in steep beaches
- 1Centre for Marine and Environmental Research (CIMA), University of Algarve, Campus de Gambelas, Edf. 7, 8005-139 Faro, Portugal
- 2IHE Delft institute for Water Education, Water Science and Engineering Dept., Westvest 7, 2611AX Delft, the Netherlands
- 3Deltares, Marine and Coastal Systems, Boussinesqweg 1, 2629 HV Delft, the Netherlands
Integrated modelling approaches for the evolution of the entire dune-beach system have become increasingly sought-after, not only for management purposes, but also to allow better understanding of the feedbacks between processes and scales and a closer approximation of where critical system thresholds may lie. The effective reproduction of both destructive and constructive processes over a broad spectrum of temporal scales is crucial to any, such, integrated approach. Recent improvements of the XBeach-Duna model regarding approximation of nearshore processes were tested using in-situ data from the Emma storm impacts on a reflective beach (Praia de Faro, in S. Portugal). The model results compare well with measured post-storm and recovered profiles, showing high model skill under both erosive and constructive regimes. Building from this event-scale analysis, a gradual increase of temporal windows in simulated forcing conditions, through wave schematisation, is presented and discussed in terms of optimisation between gains in simulation time and losses in geomorphic change information. This methodological approach and findings are the basis that will allow passing on to dependable, long-term simulations of the beach-dune system evolution.
Acknowledgements: The work was implemented in the framework of the ENLACE project (ref. 28949 FEDER), funded by FCT (Fundação para a Ciência e a Tecnologia)
How to cite: Kombiadou, K., Costas, S., Roelvink, D., and McCall, R.: Post-storm recuperation as a stepping-stone towards long-term integrated modelling in steep beaches, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17470, https://doi.org/10.5194/egusphere-egu2020-17470, 2020.