Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3789-2019
https://doi.org/10.5194/amt-12-3789-2019
Research article
 | 
11 Jul 2019
Research article |  | 11 Jul 2019

Aerosol-type classification based on AERONET version 3 inversion products

Sung-Kyun Shin, Matthias Tesche, Youngmin Noh, and Detlef Müller

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Cited articles

Aerosol Robotic Network (AERONET): available at: https://aeronet.gsfc.nasa.gov/, 9 July 2019. a, b
Bellouin, N., Quaas, J., Morcrette, J.-J., and Boucher, O.: Estimates of aerosol radiative forcing from the MACC re-analysis, Atmos. Chem. Phys., 13, 2045–2062, https://doi.org/10.5194/acp-13-2045-2013, 2013. a
Bergstrom, R. W., Russell, P. B., and Hignett, P.: Wavelength dependence of the absorption of black carbon particles: Predictions and results from the TARFOX experiment and implications for the aerosol single scattering albedo, J. Atmos. Sci., 59, 568–578, 2002. a
Bohren, C. and Huffman, D.: Absorbing and scattering of light by small particles, Wiley, https://doi.org/10.1002/9783527618156, 1983. a, b
Bond, T. C. and Bergstrom, R. W.: Light absorption by carbonaceous particles: An investigative review, Aerosol Sci. Tech., 40, 27–67, https://doi.org/10.1080/02786820500421521, 2006. a
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Short summary
This study proposes an aerosol-type classification based on parameters from the AErosol RObotic NETwork (AERONET) version 3 level 2.0 inversion product that describe light depolarization and absorption properties of atmospheric particles. We compare our classification with an earlier method and find that the new approach allows for a refined classification of mineral dust that occurs as a mixture with other absorbing aerosols.