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Learning the spatio-temporal relationship between wind and significant wave height using deep learning. (arXiv:2205.13325v1 [stat.ML])
May 27, 2022, 1:11 a.m. | Said Obakrim, Valérie Monbet, Nicolas Raillard, Pierre Ailliot
stat.ML updates on arXiv.org arxiv.org
Ocean wave climate has a significant impact on near-shore and off-shore human
activities, and its characterisation can help in the design of ocean structures
such as wave energy converters and sea dikes. Therefore, engineers need long
time series of ocean wave parameters. Numerical models are a valuable source of
ocean wave data; however, they are computationally expensive. Consequently,
statistical and data-driven approaches have gained increasing interest in
recent decades. This work investigates the spatio-temporal relationship between
North Atlantic wind and …
More from arxiv.org / stat.ML updates on arXiv.org
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