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Wavelength dependence of Angstrom exponent and single scattering albedo observed by skyradiometer in Seoul, Korea

MPG-Autoren
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Yoon,  J.
Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Zitation

Koo, J.-H., Kim, J., Lee, J., Eck, T. F., Lee, Y. G., Park, S. S., et al. (2016). Wavelength dependence of Angstrom exponent and single scattering albedo observed by skyradiometer in Seoul, Korea. Atmospheric Research, 181, 12-19. doi:10.1016/j.atmosres.2016.06.006.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-002C-92FF-0
Zusammenfassung
Absorption and scattering characteristics of various aerosol events are investigated using 2-years of measurements from a skyradiometer at Yonsei University in Seoul, Korea. Both transported dust and anthropogenic aerosols are observed at distinct geo-location of Seoul, a megacity located a few thousand kilometers away from dust source regions in China. We focus on the wavelength dependence of Angstrom exponent (AE) and single scattering albedo (SSA), showing the characteristics of regional aerosols. The correlation between spectral SSAs and AEs calculated using different wavelength pairs generally indicates relatively weak absorption of fine-mode aerosols (urban pollution and/or biomass burning) and strong absorption of coarse-mode aerosols (desert dust) at this location. AE ratio (AER), a ratio of AEs calculated using wavelength pair between shorter (340-675 nm) and longer wavelength pair (675-1020 nm) correlates differently with SSA according to the dominant size of local aerosols. Correlations between SSA and AER show strong absorption of aerosols for AER < 1.0 and weak absorption for AER > 2.0. Based on the seasonal pattern of wavelength dependence of AER and SSA, this correlation difference looks to reveal the separated charatteristics of transported dust and anthropogenic particles from urban pollution respectively. The seasonal characteristics of AER and SSAs also show that the skyradiometer measurement with multiple wavelengths may be able to detect the water soluble brown carbon, one of the important secondary organic aerosols in the summertime atmospheric composition. (C) 2016 Published by Elsevier B.V.