Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-3897-2022
https://doi.org/10.5194/nhess-22-3897-2022
Research article
 | 
07 Dec 2022
Research article |  | 07 Dec 2022

Estimating dune erosion at the regional scale using a meta-model based on neural networks

Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, and Roshanka Ranasinghe

Related authors

Global Coastal Characteristics (GCC): a global dataset of geophysical, hydrodynamic, and socioeconomic coastal indicators
Panagiotis Athanasiou, Ap van Dongeren, Maarten Pronk, Alessio Giardino, Michalis Vousdoukas, and Roshanka Ranasinghe
Earth Syst. Sci. Data, 16, 3433–3452, https://doi.org/10.5194/essd-16-3433-2024,https://doi.org/10.5194/essd-16-3433-2024, 2024
Short summary
Global distribution of nearshore slopes with implications for coastal retreat
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Sandra Gaytan-Aguilar, and Roshanka Ranasinghe
Earth Syst. Sci. Data, 11, 1515–1529, https://doi.org/10.5194/essd-11-1515-2019,https://doi.org/10.5194/essd-11-1515-2019, 2019
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Changing sea level, changing shorelines: integration of remote-sensing observations at the Terschelling barrier island
Benedikt Aschenneller, Roelof Rietbroek, and Daphne van der Wal
Nat. Hazards Earth Syst. Sci., 24, 4145–4177, https://doi.org/10.5194/nhess-24-4145-2024,https://doi.org/10.5194/nhess-24-4145-2024, 2024
Short summary
Regional modelling of extreme sea levels induced by hurricanes
Alisée A. Chaigneau, Melisa Menéndez, Marta Ramírez-Pérez, and Alexandra Toimil
Nat. Hazards Earth Syst. Sci., 24, 4109–4131, https://doi.org/10.5194/nhess-24-4109-2024,https://doi.org/10.5194/nhess-24-4109-2024, 2024
Short summary
New insights into combined surfzone, embayment, and estuarine bathing hazards
Christopher Stokes, Timothy Poate, Gerd Masselink, Tim Scott, and Steve Instance
Nat. Hazards Earth Syst. Sci., 24, 4049–4074, https://doi.org/10.5194/nhess-24-4049-2024,https://doi.org/10.5194/nhess-24-4049-2024, 2024
Short summary
Dynamic projections of extreme sea levels for western Europe based on ocean and wind-wave modelling
Alisée A. Chaigneau, Angélique Melet, Aurore Voldoire, Maialen Irazoqui Apecechea, Guillaume Reffray, Stéphane Law-Chune, and Lotfi Aouf
Nat. Hazards Earth Syst. Sci., 24, 4031–4048, https://doi.org/10.5194/nhess-24-4031-2024,https://doi.org/10.5194/nhess-24-4031-2024, 2024
Short summary
Brief communication: From modelling to reality – flood modelling gaps highlighted by a recent severe storm surge event along the German Baltic Sea coast
Joshua Kiesel, Claudia Wolff, and Marvin Lorenz
Nat. Hazards Earth Syst. Sci., 24, 3841–3849, https://doi.org/10.5194/nhess-24-3841-2024,https://doi.org/10.5194/nhess-24-3841-2024, 2024
Short summary

Cited articles

Almar, R., Ranasinghe, R., Bergsma, E. W. J., Diaz, H., Melet, A., Papa, F., Vousdoukas, M., Athanasiou, P., Dada, O., Almeida, L. P., and Kestenare, E.: A global analysis of extreme coastal water levels with implications for potential coastal overtopping, Nat. Commun., 12, 3775, https://doi.org/10.1038/s41467-021-24008-9, 2021. 
Antolínez, J. A. A., Méndez, F. J., Anderson, D., Ruggiero, P., and Kaminsky, G. M.: Predicting Climate-Driven Coastlines With a Simple and Efficient Multiscale Model, J. Geophys. Res.-Earth Surf., 124, 1596–1624, https://doi.org/10.1029/2018JF004790, 2019. 
Arcadis/Deltares: Validation of dune erosion model XBeach. Development of “BOI Sandy Coasts,” Tech. report D10029117:2.0., 2022. 
Athanasiou, P., de Boer, W., Yoo, J., Ranasinghe, R., and Reniers, A.: Analysing decadal-scale crescentic bar dynamics using satellite imagery: A case study at Anmok beach, South Korea, Mar. Geol., 405, 1–11, https://doi.org/10.1016/j.margeo.2018.07.013, 2018. 
Download
Short summary
Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can efficiently predict dune erosion are critical for coastal zone management and early warning systems. Here we develop such a model for the Dutch coast based on machine learning techniques, allowing for dune erosion estimations in a matter of seconds relative to available computationally expensive models. Validation of the model against benchmark data and observations shows good agreement.
Altmetrics
Final-revised paper
Preprint