Leveraging multi-source observations for vertical PM2.5 estimation: A deep learning fusion model.
Vertical information on PM2.5 is important for understanding aerosol evolution and supporting air pollution management, yet most machine-learning studies focus mainly on near-surface PM2.5 and insufficiently incorporate vertically resolved aerosol and meteorological observations. In this study, we developed a multi-sou...