Longitudinal datasets (2000 – 2020) with high spatiotemporal resolution for air pollution exposure assessment in Canada

This dataset is aims to help health and epidemiological studies in Canada by presenting coarse to high resolution criteria air pollutants (PM2.5, NO2, O3) for the years 2000 through 2020. The datasets are based on model simulations of the US EPA’s Community Multiscale (CMAQ) model at 12 km horizontal resolution. The datasets are further processed to enhance performance using statistical and machine learning and are generated at various spatial resolutions (census divisions, postal code, gridded 12 km, or 1km.