Articles | Volume 16, issue 6
https://doi.org/10.5194/acp-16-4043-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-4043-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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. Hoyle
CORRESPONDING AUTHOR
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
WSL Institute for Snow and Avalanche Research SLF Davos, Switzerland
Clare S. Webster
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
WSL Institute for Snow and Avalanche Research SLF Davos, Switzerland
now at: Department of Geography, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, UK
Harald E. Rieder
Wegener Center for Climate and Global Change and IGAM/Department of Physics, University of Graz, Austria
Austrian Polar Research Institute, Vienna, Austria
Athanasios Nenes
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Institute of Chemical Engineering Sciences, Foundation for Research and Technology, Hellas, 26504 Patras, Greece
Institute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Palea Penteli, Greece
Emanuel Hammer
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
now at: Grolimund and Partner – Environmental Engineering, Thunstrasse 101a, 3006 Bern, Switzerland
Erik Herrmann
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
Martin Gysel
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
Nicolas Bukowiecki
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
Ernest Weingartner
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
now at: Institute of Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland
Martin Steinbacher
Laboratory for Air Pollution/Environmental Technology, Empa – Swiss Federal Laboratories for Materials Science and Technology, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland
Urs Baltensperger
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen, Switzerland
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Cited
9 citations as recorded by crossref.
- Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition J. Schmale et al. 10.1038/sdata.2017.3
- Activation of atmospheric aerosols in fog and low clouds N. Zíková et al. 10.1016/j.atmosenv.2020.117490
- Seasonality of the particle number concentration and size distribution: a global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories C. Rose et al. 10.5194/acp-21-17185-2021
- Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories J. Schmale et al. 10.5194/acp-18-2853-2018
- Cloud droplet activation properties and scavenged fraction of black carbon in liquid-phase clouds at the high-alpine research station Jungfraujoch (3580 m a.s.l.) G. Motos et al. 10.5194/acp-19-3833-2019
- CCN Activity, Variability and Influence on Droplet Formation during the HygrA-Cd Campaign in Athens A. Bougiatioti et al. 10.3390/atmos8060108
- A review of atmospheric chemistry observations at mountain sites S. Okamoto & H. Tanimoto 10.1186/s40645-016-0109-2
- On the drivers of droplet variability in alpine mixed-phase clouds P. Georgakaki et al. 10.5194/acp-21-10993-2021
- Quantitative evaluation of seven optical sensors for cloud microphysical measurements at the Puy-de-Dôme Observatory, France G. Guyot et al. 10.5194/amt-8-4347-2015
8 citations as recorded by crossref.
- Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition J. Schmale et al. 10.1038/sdata.2017.3
- Activation of atmospheric aerosols in fog and low clouds N. Zíková et al. 10.1016/j.atmosenv.2020.117490
- Seasonality of the particle number concentration and size distribution: a global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories C. Rose et al. 10.5194/acp-21-17185-2021
- Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories J. Schmale et al. 10.5194/acp-18-2853-2018
- Cloud droplet activation properties and scavenged fraction of black carbon in liquid-phase clouds at the high-alpine research station Jungfraujoch (3580 m a.s.l.) G. Motos et al. 10.5194/acp-19-3833-2019
- CCN Activity, Variability and Influence on Droplet Formation during the HygrA-Cd Campaign in Athens A. Bougiatioti et al. 10.3390/atmos8060108
- A review of atmospheric chemistry observations at mountain sites S. Okamoto & H. Tanimoto 10.1186/s40645-016-0109-2
- On the drivers of droplet variability in alpine mixed-phase clouds P. Georgakaki et al. 10.5194/acp-21-10993-2021
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Discussed (final revised paper)
Latest update: 26 Mar 2023
Short summary
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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