Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9469-2025
https://doi.org/10.5194/gmd-18-9469-2025
Model description paper
 | 
03 Dec 2025
Model description paper |  | 03 Dec 2025

SnapWave: fast, implicit wave transformation from offshore to nearshore

Dano Roelvink, Maarten van Ormondt, Johan Reyns, and Marlies van der Lugt

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Cited articles

Alves, J.-H., Tolman, H., Roland, A., Abdolali, A., Ardhuin, F., Mann, G., Chawla, A., and Smith, J.: NOAA's Great Lakes Wave Prediction System: A Successful Framework for Accelerating the Transition of Innovations to Operations, Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-22-0094.1, 2022. 
Bakker, W. T.: Coastal Dynamics, Advanced series on Ocean Engineering, Vol. 13, World Scientific, Singapore, 2013.  
Baldock, T. E., Holmes, P., Bunker, S., and Van Weert, P.: Cross-shore hydrodynamics within an unsaturated surf zone, Coastal Engineering, Volume 34, 173–196, ISSN 0378-3839, https://doi.org/10.1016/S0378-3839(98)00017-9, 1998. 
Benoit, M., Marcos, F., and Becq, F.: Development of a third generation shallow-water wave model with unstructured spatial meshing, in: Coastal Engineering, 1996, 465–478, 1997. 
Booij, N., Ris, R. C., and Holthuijsen, L. H.: A third-generation wave model for coastal regions – 1. Model description and validation, J. Geophys. Res.-Oceans, 104, 7649–7666, https://doi.org/10.1029/98jc02622, 1999. 
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Short summary
Existing wave models are often quite heavy for coastal applications. The SnapWave model simulates wave refraction (turning towards the coast), shoaling (steepening up) and dissipation (loss of energy by friction and wave breaking), and it uses an efficient computational mesh that you can refine where you need it. In the paper we show that the model can reproduce time series of waves anywhere in the world, using a depth map and wave data from a global model (ERA5) or a local wave buoy.
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