Articles | Volume 21, issue 4
https://doi.org/10.5194/os-21-1315-2025
https://doi.org/10.5194/os-21-1315-2025
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

Viewed

Total article views: 2,009 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,692 225 92 2,009 61 98 139
  • HTML: 1,692
  • PDF: 225
  • XML: 92
  • Total: 2,009
  • Supplement: 61
  • BibTeX: 98
  • EndNote: 139
Views and downloads (calculated since 29 Nov 2024)
Cumulative views and downloads (calculated since 29 Nov 2024)

Viewed (geographical distribution)

Total article views: 2,009 (including HTML, PDF, and XML) Thereof 1,961 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Mar 2026
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.
Share