#machine learning
Jan 2026
Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
A physics-inspired neural architecture that decomposes latent-state evolution into dedicated advection, diffusion, and reaction operators and achieves competitive deterministic forecast skill, with particularly strong performance at short to medium lead times, while preserving improved spectral fidelity and forecast ac...
Carlos A. Pereira, St'ephane Gaudreault, V. Dallerit et al.
· arXiv.org · 5 citations