Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet)

Shengjuan Cai, Fangxin Fang, Vincent-Henri Peuch +3

PM2.5 forecasting is crucial for public health, air quality management, and policy development. Traditional physics-based models are computationally demanding and slow to adapt to…