Classification and investigation of Asian aerosol absorptive properties Academic Article uri icon


  • Abstract. Asian aerosols are among the most complex yet widely studied components of the atmosphere not only due to their seasonal variability but also their effects on climate change. Four Aerosol Robotic Network (AERONET) sites have been selected to represent aerosol properties dominated by pollution (Taihu), mixed complex particle types (Xianghe), desert-urban (SACOL), and biomass (Mukdahan) in East Asia during the 20012010 period. The volume size distribution, aerosol optical depth ( and abs), ngstrm exponent ( and abs), and the single scattering co-albedo (oabs) parameters over the four selected sites have been used to (a) illustrate seasonal changes in aerosol size and composition and (b) discern the absorptive characteristics of black carbon (BC), organic carbon (OC), mineral dust particles, and mixtures. A strongly absorbing mineral dust influence is seen at the Xianghe, Taihu, and SACOL sites during the spring months (MAM), as given by coarse mode dominance, mean 440870 < 1, and mean abs440870 > 1.5. There is a shift towards weakly absorbing pollution (sulfate) and biomass (OC) aerosol dominance in the summer (JJA) and autumn (SON) months, as given by a strong fine mode influence, 440870 > 1, and abs440870 < 1.5. A winter season (DJF) shift toward strongly fine mode, absorbing particles (BC and OC) is observed at Xianghe and Taihu (abs440870 > 1 and abs440870 > 1.5). At Mukdahan, a strong fine mode influence is evident year round, with weakly and strongly absorbing biomass particles dominant in the autumn and winter months, respectively, while particles exhibit variable absorption during the spring season. A classification method using 440870 and oabs440 is developed in order to infer the seasonal physico-chemical properties of the aerosol types, such as fine and coarse mode, weak and strong absorption, at the four selected Asian sites.

published proceedings


altmetric score

  • 3

author list (cited authors)

  • Logan, T., Xi, B., Dong, X., Li, Z., & Cribb, M.

citation count

  • 53

complete list of authors

  • Logan, T||Xi, B||Dong, X||Li, Z||Cribb, M

publication date

  • January 2013