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This study examines how aerosols measured from the ground and space over theUS Southeast change temporally over a regional scale during the pastdecade. PM2.5 (particulatematter with aerodynamic diameter >2.5 micrometers) data consist of two datasets that represent the measurementsthat are used for regulatory purposes by the US EPA (Environmental Protection Agency) and continuousmeasurements used for quickly disseminating air quality information. AOD (aerosol optical depth) datacome from three NASA sensors: the MODIS sensors onboard Terra and Aquasatellites and the MISR sensor onboard the Terra satellite. We analyze allavailable data over the state of Georgia from 2000–2009 of both types ofaerosol data. The analysis reveals that during the summer the largemetropolitan area of Atlanta has average PM2.5 concentrations that are 50%more than the remainder of the state. Strong seasonality is detected in boththe AOD and PM2.5 datasets, as evidenced by a threefold increase of AODfrom mean winter values to mean summer values, and the increase in PM2.5concentrations is almost twofold over the same period. Additionally,there is agreement between MODIS and MISR onboard the Terra satelliteduring the spring and summer, having correlation coefficients of 0.64 and0.71, respectively. Monthly anomalies were used to determine the presence of atrend in all considered aerosol datasets. We found negative linear trends forboth the monthly AOD anomalies from MODIS onboard Terra and the PM2.5datasets, which are statistically significant. Decreasing trends were alsofound for MISR onboard Terra and MODIS onboard Aqua, but those trends werenot statistically significant. The observed decrease in AOD and PM2.5concentrations may be indicative of the brightening over the study region during the past decade

Characterization of atmospheric aerosol in the US Southeast from ground- and space-based measurements over the past decade