AI climate predictions become more trustworthy when you can explain which physical mechanisms drive the forecast; here, interpretability methods confirmed the model's drought prediction is based on real atmospheric physics, not spurious patterns.
Researchers used a deep learning model combined with interpretability techniques to predict a summer 2026 drought in central China.