Articles | Volume 18, issue 6
https://doi.org/10.5194/os-18-1665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-1665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Nov 2022
Research article |
| 22 Nov 2022
| 22 Nov 2022
Accuracy of numerical wave model results: application to the Atlantic coasts of Europe
Laboratoire d'Océanographie Physique et Spatiale, Univ. Brest, Ifremer, IRD, CNRS, Brest, France
Fabrice Ardhuin
Laboratoire d'Océanographie Physique et Spatiale, Univ. Brest, Ifremer, IRD, CNRS, Brest, France
Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
Guillaume Dodet
Laboratoire d'Océanographie Physique et Spatiale, Univ. Brest, Ifremer, IRD, CNRS, Brest, France
Mickael Accensi
Laboratoire d'Océanographie Physique et Spatiale, Univ. Brest, Ifremer, IRD, CNRS, Brest, France
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- An assessment of the impact of boundary conditions in dynamical downscaling techniques for fetch-limited waves A. Ruju & F. Viola https://doi.org/10.1080/21664250.2024.2399393
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- Analysis and extreme event prediction of waves in the eastern shelf seas of China based on a 44-year hindcast Y. Meng et al. https://doi.org/10.1016/j.oceaneng.2024.119102
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- Comparison of the SIMAR-WANA, ERA-5, and Waverys Databases for Maritime Climate Estimations and the Implications of Coastal Protection Structures N. Juan et al. https://doi.org/10.1061/JWPED5.WWENG-2017
- Wave Climate Variability along the Coastlines of Senegal over the Last Four Decades M. Samou et al. https://doi.org/10.3390/atmos14071142
- Multi‐annual variability of storm events and morphological response in the SW Iceland: The Valahnúkamöl boulder barrier P. Stéphan et al. https://doi.org/10.1002/esp.70072
- Assessing future climate change impacts on marine renewable energy resources in the UK under a high emission scenario with CMIP6 and SWAN J. McWhirter et al. https://doi.org/10.1016/j.renene.2026.125813
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- An assessment of the impact of boundary conditions in dynamical downscaling techniques for fetch-limited waves A. Ruju & F. Viola https://doi.org/10.1080/21664250.2024.2399393
- Hydrodynamic Analysis-Based Modeling of Coastal Abrasion Prevention (Case Study: Pulau Baai Port, Bengkulu) M. Irmawan et al. https://doi.org/10.3390/app14020940
- Regional assessment of typhoon wind, wave, and current multi-hazards for offshore structure design using SWAN + ADCIRC: Sensitivity to reanalysis wind forcings and extreme value distributions Y. Zhang et al. https://doi.org/10.1016/j.wace.2026.100899
- The Met Office operational wave forecasting system: the evolution of the regional and global models N. Valiente et al. https://doi.org/10.5194/gmd-16-2515-2023
- Methodology for wave power estimation at remote sites with satellite altimeter validation applied to Indonesia J. McIlvenny & B. Williamson https://doi.org/10.1007/s40722-025-00455-0
- The ECHOWAVE Hindcast: A 30-years high resolution database for wave energy applications in North Atlantic European waters M. Alday & G. Lavidas https://doi.org/10.1016/j.renene.2024.121391
- A wave-coupled movable bottom friction scheme for spectral wave modeling based on sediment grain size and ripple evolution X. Dong et al. https://doi.org/10.1016/j.coastaleng.2026.104953
- Development and validation of an Early Warning System for coastal flooding operating on a Mediterranean urban beach A. Chatzipavlis et al. https://doi.org/10.5194/nhess-26-1573-2026
- Effects of wave spectrum representation on power production estimations from point absorbers M. Alday et al. https://doi.org/10.1016/j.apor.2025.104626
- Wave Climate Dynamics of a Morphologically Complex Coast: A Hybrid Downscaling Study of Manzanillo, Mexico H. García-Nava et al. https://doi.org/10.3390/jmse14060544
- Hydrodynamic Modelling of Semi-Enclosed Coastal Systems: A Stepwise Assessment of Key Forcing Factors B. Chen et al. https://doi.org/10.3390/jmse14111058
Saved (final revised paper)
Latest update: 03 Jul 2026
Short summary
Obtaining accurate results from wave models in coastal regions is typically more difficult. This is due to the complex interactions between waves and the local environment characteristics like complex shorelines, sea bottom topography, the presence of strong currents, and other processes that include wave growth and decay. In the present study we analyze which elements can be adjusted and/or included in order to reduce errors in the modeled output.
Obtaining accurate results from wave models in coastal regions is typically more difficult. This...
