Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
Authors
Department of Earth Sciences, Uppsala University, Uppsala, 752 36; Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, Uppsala, 752 36
Department of Earth Sciences, Uppsala University, Uppsala, 752 36; Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, Uppsala, 752 36
Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, 2800
Swedish Meteorological and Hydrological Institute, Norrköping, 603 80
Swedish Meteorological and Hydrological Institute, Norrköping, 603 80
Department of Earth Sciences, Uppsala University, Uppsala, 752 36; Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, Uppsala, 752 36
DOI: https://doi.org/10.16993/tellusa.4101 | Journal eISSN: 3035-9554
Language: English
Page range: 79 - 97
Submitted on: Dec 17, 2024
Accepted on: Mar 19, 2025
Published on: Apr 7, 2025
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2025 Kévin Dubois, Erik Nilsson, Morten Andreas Dahl Larsen, Martin Drews, Magnus Hieronymus, Mehdi Pasha Karami, Anna Rutgersson, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.