Data‐driven emulation of numerically simulated Baltic Sea surface currents with a deep convolutional U‐Net: explainability and potential forecast skill
author
Manss, Christoph
Stahl, Frederic
statement of authorship
Amirhossein Barzandeh, Christoph Manss, Frederic Stahl, Ilja Maljutenko, Sander Rikka, Urmas Raudsepp
source
Journal of Geophysical Research Machine Learning and Computation
publisher
journal volume number month
vol. 3, 4
year of publication
pages
art. e2026JH001321
url
ISSN
2993-5210
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
English
subject term
subject of location
classifier
TalTech department
Barzandeh, A., Manss, C., Stahl, F., Maljutenko, I., Rikka, S., Raudsepp, U. Data‐driven emulation of numerically simulated Baltic Sea surface currents with a deep convolutional U‐Net: explainability and potential forecast skill // Journal of Geophysical Research Machine Learning and Computation (2026) vol. 3, 4, art. e2026JH001321.