Tropospheric NO2 columns over northern Thailand were analyzed using monthly satellite products of the SCIMACHY, OMI, GOME-2A, and GOME-2B sensors for the 14-year period 2003-2016. The comparative results of the four pairs of different satellite datasets within overlapped years showed that they were well correlated with correlation coefficients (r) of 0.85-0.90 when the analysis was considered only during the dry period. Ground measurements of NO2 concentrations were also obtained for comparative analysis with the satellite NO2 columns. The results revealed relatively good agreement between these two parameters for a seasonal pattern. High levels of NO2 were detected during January-April. Overall, the r-values of the satellite and ground datasets during the dry period were in the range 0.54-0.81. Moreover, most satellite and ground datasets recorded greater levels of NO2 in the afternoon than in the morning corresponding with the number of fire hotspots. Satellite and ground measurements showed slightly increasing trends of NO2 levels during dry months for 2010-2016 with values of 7.23% and 0.48%, respectively, over the 6year period. The results in this study suggest that integrating satellite and ground data would provide valuable information for air quality managers to better understand the spatiotemporal distribution of NO2 which is essential for setting air quality policy and mitigation plan in Thailand.
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