Articles | Volume 8, issue 1
07 Apr 2022
 | 07 Apr 2022

Deep learning for statistical downscaling of sea states

Marceau Michel, Said Obakrim, Nicolas Raillard, Pierre Ailliot, and Valérie Monbet

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Cited articles

Anderson, G., Carse, F., Turton, J., and Saulter, A.: Quantification of wave measurements from lightvessels, J. Oper. Oceanogr., 9, 93–102,, 2016. 
Ardhuin, F.: Ocean waves in geosciences, Technical Report,, 2021. 
Ardhuin, F., Chapron, B., and Collard, F.: Observation of swell dissipation across oceans, Geophys. Res. Lett., 36, 1–5,, 2009. 
Baño-Medina, J., Manzanas, R., and Gutiérrez, J. M.: Configuration and intercomparison of deep learning neural models for statistical downscaling, Geosci. Model Dev., 13, 2109–2124,, 2020. 
Short summary
In this study, we introduce a deep learning algorithm to establish the relationship between wind and waves in order to predict the latter. The performance of the proposed method has been evaluated both on the output of numerical wave models and on in situ data and compared to other statistical methods developed by our research team. The results obtained confirm the interest of deep learning methods for forecasting ocean data.