Estimation of Hourly PM2.5 Mass Concentration from Geostationary Satellite Aerosol Optical Depth Data

Remote sensing inversion of global PM
2.5
is an important research topic. In the present study, the Aerosol Optical Depth (AOD) dataset was established by four geostationary satellites to estimate global PM
2.5
concentrations using improved Geographic Time-Weighted Regression model (IGTWR) models. Then a global hourly PM
2.5
concentration dataset was obtained in May 2020. The estimated result for PM
2.5
is verified at ground stations with R of 0.71 and RMSE (Root Mean Square Error) of 26.6 μg/m
³
. The results indicate that PM
2.5
has obvious spatial and temporal distribution in the world.