Ocean Science
Ocean Science
OS
Articles | Volume 21, issue 4
Articles | Volume 21, issue 4
https://doi.org/10.5194/os-21-1315-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-21-1315-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 4
Research article
 | 
14 Jul 2025
Research article |  | 14 Jul 2025

Application of the HIDRA2 deep-learning model for sea level forecasting along the Estonian coast of the Baltic Sea

Amirhossein Barzandeh, Matjaž Ličer, Marko Rus, Matej Kristan, Ilja Maljutenko, Jüri Elken, Priidik Lagemaa, and Rivo Uiboupin

Supplement

https://doi.org/10.5194/os-21-1315-2025-supplement

Data sets

Time series of hydrological monitoring data in JSON format Estonian Environment Agency https://keskkonnaportaal.ee/et/avaandmed/hudroloogilise-seire-andmestik

Model code and software

HIDRA2 - Deep-learning ensemble sea level and storm tide forecasting in the presence of seiches Marko Rus et al. https://doi.org/10.5281/zenodo.7307365

Baltic Sea Physics Analysis and Forecast, Marine Data Store (MDS) CMEMS - EU Copernicus Marine Service Information https://doi.org/10.48670/moi-00010

Download
Short summary
We evaluated a deep-learning model, HIDRA2, for predicting sea levels along the Estonian coast and compared it to traditional numerical models. HIDRA2 performed better overall, offering faster forecasts and valuable uncertainty estimates using ensemble predictions.
Read more
Share
Special issue
Special issue on ocean extremes (55th International Liége...