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...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|