Global Satellite-derived Monthly PM₂.₅ Total Mass (0.01x0.01) - V6GL (Selected as AGU Impactful Datasets)
This dataset contains global annual and monthly ground-level fine particulate matter (PM₂.₅) for 1998-2024 at around 1 km resolution.
Geophysical Constraints
North America Satellite-derived Monthly PM₂.₅ Total and Compositional Mass (0.01x0.01) - V6.NA.01
This version is recommended for users with a North American-only focus and includes total and compositional PM₂.₅, as well as the as well as the uncertainty estimation for 2000-2023. This version uses deep learning based structures.
Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning
Global estimation of fine particulate matter (PM₂.₅) concentrations with deep learning that incorporates geophysical a priori information.