The evolution of cloud microphysics upon aerosol interaction at the summit of Mt. Tai, China

Jiarong Li, Chao Zhu, Hui Chen, Defeng Zhao, Likun Xue, Xinfeng Wang, Hongyong Li, Pengfei Liu, Junfeng Liu, Chenglong Zhang, Yujing Mu, Wenjin Zhang (+5 others)
2019 Atmospheric Chemistry and Physics Discussions  
<p><strong>Abstract.</strong> The influence of aerosols, both natural and anthropogenic, remains a major area of uncertainty when predicting the properties and behaviour of clouds and their influence on climate. In an attempt to understand better the microphysical properties of cloud droplets, the aerosol-cloud interactions, and the corresponding climate effect during cloud life cycles in the North China Plain, an intensive observation took place from 17 June to 30 July 2018 at the summit of
more » ... at the summit of Mt. Tai. Cloud microphysical parameters were monitored simultaneously with number concentrations of cloud condensation nuclei (N<sub>CCN</sub>) at different supersaturations, PM<sub>2.5</sub> mass concentrations, particle size distributions and meteorological parameters. Number concentrations of cloud droplets (N<sub>C</sub>), liquid water content (LWC) and effective radius of cloud droplets (r<sub>eff</sub>) show large variations among 40 cloud events observed during the campaign. Perturbations of aerosols will significantly increase the N<sub>C</sub> of cloud droplets and shift cloud droplets toward smaller size ranges. Clouds in clean days are more susceptible to the change in concentrations of particle number (N<sub>P</sub>). LWC shows positive correlation with r<sub>eff</sub>. As N<sub>C</sub> increases, r<sub>eff</sub> changes from a trimodal distribution to a unimodal distribution. By assuming a cloud thickness of 100&amp;thinsp;m, we find that the albedo can increase 36.4&amp;thinsp;% if the cloud gets to be disturbed by aerosols. This may induce a cooling effect on the local climate system. Our results contribute more information about regional cloud microphysics and will help to reduce the uncertainties in climate models when predicting climate responses to cloud-aerosol interactions.</p>
doi:10.5194/acp-2019-660 fatcat:hhk2j7snzbdlhlnf6xp2opc3uy