Validation and Long Term Variation Analysis of Satellite-Derived Air Pollution Components

The long-term satellite products including MODIS AOD, GOME-2 NO 2 and OMI O 3 were collected and processed respectively, and were verified by AErosol RObotic NETwork (AERONET) ground measurements. Then the time series data in eastern China were plotted and analyzed. The results show that MODIS AOD and OMI O 3 have high correlation with AERONET measurements, the correlated coefficients are 0.81 and 0.94 respectively. The GOME-2 NO 2 inversion algorithm has lower accuracy which the correlated coefficient (R) is 0.71. All the datasets have seasonal cycles, the maximum values of AOD and trop O 3 appear in summer, while the NO 2 appears in winter. After 2013, the value of all satellite products is in a downward trend, which may be closely related to the implementation of the “Ten Atmospheric Regulations” in 2013, and human activities and economic development level will affect the distribution of AOD and trop NO 2 .