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Volume 14, issue 15
Atmos. Chem. Phys., 14, 8105–8118, 2014
https://doi.org/10.5194/acp-14-8105-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Haze in China (HaChi 2009–2010)

Atmos. Chem. Phys., 14, 8105–8118, 2014
https://doi.org/10.5194/acp-14-8105-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Aug 2014

Research article | 13 Aug 2014

Aerosol hygroscopicity parameter derived from the light scattering enhancement factor measurements in the North China Plain

J. Chen1,*, C. S. Zhao1, N. Ma1,**, and P. Yan2 J. Chen et al.
  • 1Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
  • 2Meteorological Observation Centre, China Meteorological Administration, Beijing 100871, China
  • *now at: Earth Observatory of Singapore, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
  • **now at: Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany

Abstract. The relative humidity (RH) dependence of aerosol light scattering is an essential parameter for accurate estimation of the direct radiative forcing induced by aerosol particles. Because of insufficient information on aerosol hygroscopicity in climate models, a more detailed parameterization of hygroscopic growth factors and resulting optical properties with respect to location, time, sources, aerosol chemistry and meteorology are urgently required. In this paper, a retrieval method to calculate the aerosol hygroscopicity parameter, κ, is proposed based on the in situ measured aerosol light scattering enhancement factor, namely f(RH), and particle number size distribution (PNSD) obtained from the HaChi (Haze in China) campaign. Measurements show that f(RH) increases sharply with increasing RH, and that the time variance of f(RH) is much greater at higher RH. A sensitivity analysis reveals that the f(RH) is more sensitive to the aerosol hygroscopicity than PNSD. f(RH) for polluted cases is distinctly higher than that for clean periods at a specific RH. The derived equivalent κ, combined with the PNSD measurements, is applied in the prediction of the cloud condensation nuclei (CCN) number concentration. The predicted CCN number concentration with the derived equivalent κ agrees well with the measured ones, especially at high supersaturations. The proposed calculation algorithm of κ with the f(RH) measurements is demonstrated to be reasonable and can be widely applied.

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