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Open access Sep 2026

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...

Huang-Jian Wu, Zi-Fa Wang, Yuan-Hang Zhang et al. · 0 citations
Sep 2026

14-Day PM2.5 and O3 Forecasting over Eastern China Using a Hybrid CNN-Transformer Architecture Driven by Multilevel Meteorological Fields

Air pollution is modulated by multiscale meteorological processes spanning from local to regional domains and extending from the near-surface layer to the upper troposphere. However, existing data-driven models often neglect these complex spatiotemporal dependencies, limiting medium- to long-term forecast accuracy. T...

Lei Zhang, An-Bao Gong, Tong Wu et al. · 0 citations

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