ocean-forecasting

OceanMoE introduces a Mixture-of-Experts framework with structured conditional sparse computation to balance shared ocean context and adaptive specialization for multivariate ocean forecasting, demonstrating improved accuracy in long-horizon predictions.

Njord is a probabilistic graph neural network for ensemble ocean forecasting that provides uncertainty estimates and achieves state-of-the-art performance on global and regional benchmarks, improving surface temperature prediction.

OceanCBM is a concept bottleneck model for spatiotemporal prediction and mechanistic interpretability in ocean forecasting, using mixed supervision to predict mixed layer heat content while imposing soft physical structure. The model achieves interpretable, physically grounded representations without sacrificing predictive skill.