Atmospheric Composition Analysis Group (ACAG) Global/Regional Estimates

The Atmospheric Composition Analysis Group (ACAG) Global/Regional Estimates (V5.GL.04) dataset presents estimated monthly and annual average concentrations of fine particulate matter (PM2.5) air pollution. The dataset provides global coverage during 1998 to 2022 with 0.01 degree (~1 km) and 0.1 degree (~10 km) spatial resolution. Summary data tables are also available at the national scale for all countries and at the sub-national scale (e.g., for states, provinces, or regions) for Canada, China, India, and the United States. Concentrations are estimated using satellite-based air pollution observations combined with a chemical transport model and subsequent calibration to ground-based air pollution observations using geographically weighted regression. This dataset can be used to study monthly or seasonal variations in PM2.5 concentrations and is intended for use in large-scale epidemiological studies and health impact assessments.