Fusing Physics and AI Enhances Accuracy and Diagnostic Capabilities in Air Quality Forecasting
Accurate air-quality forecasts with diagnostic value are pivotal for emission-control policies and public health, yet chemical transport models (CTMs) are hampered by uncertainties in physicochemical parameterizations, whereas AI-only approaches sacrifice interpretability for predictive power. Here, we introduce ProN...