Comparison of pm_2.5 in seoul, korea estimated from the various ground-based and satellite aod

Based on multiple linear regression (MLR) models, we estimated the PM_2.5 at Seoul using a number of aerosol optical depth (AOD) values obtained from ground-based and satellite remote sensing observations. To construct the MLR model, we consider various parameters related to the ambient meteorology and air quality. In general, all AOD values resulted in the high quality of PM_2.5 estimation through the MLR method: mostly correlation coefficients >~0.8. Among various polar-orbit satellite AODs, AOD values from the MODIS measurement contribute to better PM_2.5 estimation. We also found that the quality of estimated PM_2.5 shows some seasonal variation; the estimated PM_2.5 values consistently have the highest correlation with in situ PM_2.5 in autumn, but are not well established in winter, probably due to the difficulty of AOD retrieval in the winter condition. MLR modeling using spectral AOD values from the ground-based measurements revealed that the accuracy of PM_2.5 estimation does not depend on the selected wavelength. Although all AOD values used in this study resulted in a reasonable accuracy range of PM_2.5 estimation, our analyses of the difference in estimated PM_2.5 reveal the importance of utilizing the proper AOD for the best quality of PM_2.5 estimation.