Enhancing Estimation of Fine Particulate Matter Chemical Composition across North America by Including Geophysical A Priori Information in Deep Learning with Uncertainty Quantification
Estimating PM₂.₅ chemical composition across North America with deep learning that incorporates geophysical a priori information, with uncertainty quantification.