Dataset parent CARB 19RD004: Daily pollutant concentrations of NO2, PM2.5 and O3 of 100 m resolution for California 2012-2019

This study bridges gaps in air pollution research by examining exposure
dynamics in disadvantaged communities. Using cutting-edge machine learning
and massive data processing, we produced high-resolution (100 m) daily air
pollution maps for nitrogen dioxide (NO2), fine particulate matter
(PM2.5), and ozone (O3) across California from 2012 to 2019. Our findings
revealed opposite spatial patterns of NO2 and PM2.5 to that of O3. We also
identified consistent, higher pollutant exposure for disadvantaged
communities from 2012 to 2019 though the most disadvantaged communities
saw the largest NO2 and PM2.5 reductions and the advantaged neighborhoods
experienced the greatest rising O3 concentrations. Further, day-to-day
exposure variations decreased for NO2 and O3. The disparity in NO2
exposure decreased, while it persisted for O3. Additionally, PM2.5 showed
increased day-to-day variations across all communities, due to the
increase in wildfire frequency and intensity, particularly affecting
advantaged suburban and rural communities.