Data‐driven emulation of numerically simulated Baltic Sea surface currents with a deep convolutional U‐Net: explainability and potential forecast skill
author
Barzandeh, Amirhossein
Manss, Christoph
Stahl, Frederic
Maljutenko, Ilja
Rikka, Sander
Raudsepp, Urmas
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
Wiley
journal volume number month
vol. 3, 4
year of publication
2026
pages
art. e2026JH001321
url
http://doi.org/10.1029/2026JH001321
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2026JH001321
subject term
meretase
sügavõpe
emuleerimine
tehisintellekt
prognostika
merehoovused
pinnavesi
subject of location
Läänemeri
keyword
Baltic Sea
deep learning (DL)
emulation
explainable artificial intelligence (XAI)
forecasting
sea surface current
ISSN
2993-5210
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
TalTech department
meresüsteemide instituut
Department of Marine Systems
language
English
Inglise