Application of the HIDRA2 deep-learning model for sea level forecasting along the Estonian coast of the Baltic Sea
<p>Sea level predictions, typically derived from 3D hydrodynamic models, are computationally intensive and subject to uncertainties stemming from physical representation and inaccuracies in initial or boundary conditions. As a complementary alternative, data-driven machine learning models prov...
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| Main Authors: | A. Barzandeh, M. Ličer, M. Rus, M. Kristan, I. Maljutenko, J. Elken, P. Lagemaa, R. Uiboupin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | Ocean Science |
| Online Access: | https://os.copernicus.org/articles/21/1315/2025/os-21-1315-2025.pdf |
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