Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8863424 | Atmospheric Environment | 2018 | 25 Pages |
Abstract
The light scattering enhancement factor f (RH), defined as the ratio of the light scattering coefficient (ÏSP) observed under an elevated relative humidity (RH) conditions to that under dry conditions, is a crucial parameter for estimating aerosol direct radiative effects and atmospheric visibility. In this paper, a new f (RH) parameterization scheme considering both the influence of aerosol chemical compositions and that of particle number size distribution (PNSD) is proposed based on in situ measurements in the North China Plain. The development of this parameterization scheme includes three steps. First, aerosol hygroscopicity parameter κ is parameterized with aerosol chemical compositions. Then, the ratio between f (RH) fitted parameter κsca (f(RH)=1+κscaRH100âRH) and κ is introduced to correlate f (RH) with κ. The ratio, influenced mostly by PNSD, is described as a function of scattering Ã
ngström exponent (SAE) because the SAE can represent the predominant size of aerosol particles to some extent. Finally, f (RH) cycle is parameterized with κsca. Validation results show that a good consistency between the parameterized and measured f (RHâ¯=â¯80%) is achieved and the correlation coefficient is 0.80. This parameterization scheme between aerosol chemistry and f (RH) can be used in chemical transport models for reducing uncertainties in estimations of direct aerosol radiative forcing and air quality assessments.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Yingli Yu, Chunsheng Zhao, Ye Kuang, Jiangchuan Tao, Gang Zhao, Chuanyang Shen, Wanyun Xu,