Deep Learning

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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.

April 2026 · 2 min · Siyuan Shen, Chi Li, Aaron van Donkelaar, Nathan A. Jacobs, Chenguang Wang, Randall V. Martin
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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.

February 2026 · 2 min · Siyuan Shen, Chi Li, Aaron van Donkelaar, Nathan A. Jacobs, Randall V. Martin