Author

Daniel Holmberg

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#machine learning May 2026

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting

Njord, a probabilistic data-driven model for ocean forecasting, applicable to both global and regional domains, is introduced, combining a deep latent variable framework with a graph neural network architecture, enabling sampling each forecast step in a single forward pass.

Daniel Holmberg, Joel Oskarsson, Erik Wikingsson et al. · arXiv.org · 2 citations

Preprint Aug 2026

Decadal wave reconstruction in the Mediterranean Sea with graph neural networks

Accurate simulation and prediction of ocean waves are essential for coastal risk management and climate studies. Deep learning has shown promising results for wave modeling, but most approaches still operate on regular grids and on forecasting time scales, and do not generalize to unstructured discretization or to long...

F. Benassi, Lorenzo Mentaschi, S. Causio et al. · 0 citations