Interpretable Patch-Based Deep Learning for Wildfire Spread Prediction from Ensemble Simulations

arXiv:2609.18555v1 Announce Type: cross Abstract: Wildfire spread is traditionally predicted using physics-based simulators, which are physically interpretable but whose cost increases with each additional ensemble member. We ask how well deep learning surroga