Characterizing pollution weather patterns using satellite carbon monoxide data

Satellite remote sensing of carbon monoxide (CO) has been effective in providing global measurement of CO since the 2000s. This study aims to find a linkage between high CO episodes and weather patterns over eastern China, using the satellite CO product measured from the Atmospheric Infrared Sounder (AIRS), along with the reanalysis meteorological data. AIRS data show high CO in eastern China, a populous and highly industrialized region. The highest CO in the region occurs in late winter and early spring, between 25 and 38 °N. CO in summer is evidently low. From the high CO days detected by AIRS, nine weather patterns are identified and their frequencies varying with season are summarized. High CO days in winter, spring and autumn mainly associate with high-pressure systems while in summer, high CO days occur mostly under low pressure and uniform pressure conditions.

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