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Volume 16, issue 6 | Copyright

Special issue: BACCHUS – Impact of Biogenic versus Anthropogenic emissions...

Atmos. Chem. Phys., 16, 4043-4061, 2016
https://doi.org/10.5194/acp-16-4043-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 29 Mar 2016

Research article | 29 Mar 2016

Chemical and physical influences on aerosol activation in liquid clouds: a study based on observations from the Jungfraujoch, Switzerland

Christopher R. Hoyle1,2, Clare S. Webster1,2,a, Harald E. Rieder3,4, Athanasios Nenes5,6,7,8, Emanuel Hammer1,b, Erik Herrmann1, Martin Gysel1, Nicolas Bukowiecki1, Ernest Weingartner1,c, Martin Steinbacher9, and Urs Baltensperger1 Christopher R. Hoyle et al.
  • 1Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
  • 2WSL Institute for Snow and Avalanche Research SLF Davos, Switzerland
  • 3Wegener Center for Climate and Global Change and IGAM/Department of Physics, University of Graz, Austria
  • 4Austrian Polar Research Institute, Vienna, Austria
  • 5School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
  • 6School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
  • 7Institute of Chemical Engineering Sciences, Foundation for Research and Technology, Hellas, 26504 Patras, Greece
  • 8Institute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Palea Penteli, Greece
  • 9Laboratory for Air Pollution/Environmental Technology, Empa – Swiss Federal Laboratories for Materials Science and Technology, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland
  • anow at: Department of Geography, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, UK
  • bnow at: Grolimund and Partner – Environmental Engineering, Thunstrasse 101a, 3006 Bern, Switzerland
  • cnow at: Institute of Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland

Abstract. A simple statistical model to predict the number of aerosols which activate to form cloud droplets in warm clouds has been established, based on regression analysis of data from four summertime Cloud and Aerosol Characterisation Experiments (CLACE) at the high-altitude site Jungfraujoch (JFJ). It is shown that 79% of the observed variance in droplet numbers can be represented by a model accounting only for the number of potential cloud condensation nuclei (defined as number of particles larger than 80nm in diameter), while the mean errors in the model representation may be reduced by the addition of further explanatory variables, such as the mixing ratios of O3, CO, and the height of the measurements above cloud base. The statistical model has a similar ability to represent the observed droplet numbers in each of the individual years, as well as for the two predominant local wind directions at the JFJ (northwest and southeast). Given the central European location of the JFJ, with air masses in summer being representative of the free troposphere with regular boundary layer in-mixing via convection, we expect that this statistical model is generally applicable to warm clouds under conditions where droplet formation is aerosol limited (i.e. at relatively high updraught velocities and/or relatively low aerosol number concentrations). A comparison between the statistical model and an established microphysical parametrization shows good agreement between the two and supports the conclusion that cloud droplet formation at the JFJ is predominantly controlled by the number concentration of aerosol particles.

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A simple statistical model to predict the number of aerosols which activate to form cloud droplets in warm clouds has been established, based on regression analysis of data from the high-altitude site Jungfraujoch. It is found that cloud droplet formation at the Jungfraujoch is predominantly controlled by the number concentration of aerosol particles. A statistical model based on only the number of particles larger than 80nm can explain 79 % of the observed variance in droplet numbers.
A simple statistical model to predict the number of aerosols which activate to form cloud...
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