crossrefJournal of Geophysical Research: Machine Learning and Computation2026-06-01
D‐DNet: A Dual Deep Neural Network Framework for High‐Efficiency Operational PM2.5 and AOD550 Forecasting With Data Assimilation
Shengjuan Cai, Fangxin Fang, Vincent‐Henri Peuch, Mihai Alexe, Ionel Michael Navon, Yanghua Wang
Abstract Accurate forecasting of PM2.5 (particulate matter with diameter ≤2.5 μm) and AOD550 (aerosol optical depth at 550 nm) is crucial for air quality management, public health, and environmental policy. Traditional physics‐based forecasting systems, though robust, require com…