crossrefJournal of Geophysical Research: Machine Learning and Computation2026-06-27
Data‐Driven Emulation of Numerically Simulated Baltic Sea Surface Currents With a Deep Convolutional U‐Net: Explainability and Potential Forecast Skill
Amirhossein Barzandeh, Christoph Manss, Frederic Stahl, Ilja Maljutenko, Sander Rikka, Urmas Raudsepp
Abstract Ocean models can represent surface circulation at kilometer scales, but their computational cost limits broad experimentation. We present DeepCUN, a deep convolutional encoder–decoder (U‐Net) that emulates daily mean Baltic Sea surface current components on a 1‐nautical‐…