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Published May 24, 2013 | Published
Book Section - Chapter Open

Multi-species nucleation rates in CLOUD

Abstract

In the CLOUD experiment at CERN we have been investigating the chemical species that are most important to atmospheric new particle formation. Sulphuric acid plays a key role in aerosol nucleation, but other vapours and ions can strongly enhance the formation rate. Quantifying the contribution of each species and the conditions under which each one is important is a major challenge and requires sophisticated laboratory experiments. The CLOUD chamber, a 3m stainless steel aerosol chamber exposed to a pion beam from the CERN Proton Synchrotron, can create a precisely controlled atmospheric environment over a wide range of temperatures, ionisation states and gas mixtures, while keeping contamination levels extremely low. CLOUD has studied a range of vapour species at atmospheric concentrations, including, in various combinations, sulphuric acid, ammonia, dimethylamine and alpha-pinene. The effect of ions on the nucleation rates has been measured for all species since it is of considerable interest as a possible link between galactic cosmic rays and climate[1]. This work will present an overview of the nucleation rates measured in CLOUD and compare them with atmospheric observations.

Additional Information

© 2013 AIP Publishing LLC. Published online 24 May 2013. We would like to thank CERN for supporting CLOUD with important technical and financial resources, and for providing a particle beam from the CERN Proton Synchrotron. This research has received funding from the EC Seventh Framework Programme (Marie Curie Initial Training Network "CLOUD-ITN" no. 215072, MC-ITN "CLOUD-TRAIN" no. 316662, and ERC-Advanced "ATMNUCLE" grant no. 227463), the German Federal Ministry of Education and Research (project nos. 01LK0902A and 01LK1222A), the Swiss National Science Foundation (project nos. 200020_135307 and 206620_130527), the Academy of Finland (Center of Excellence project no. 1118615), the Academy of Finland (135054, 133872, 251427, 139656, 139995, 137749, 141217, 141451), the Finnish Funding Agency for Technology and Innovation, the Nessling Foundation, the Austrian Science Fund (FWF; project no. P19546 and L593), the Portuguese Foundation for Science and Technology (project no. CERN/FP/116387/2010), the Swedish Research Council, Vetenskapsärdet (grant 2011-5120), the Presidium of the Russian Academy of Sciences and Russian Foundation for Basic Research (grants 08-02-91006-CERN and 12-02-91522-CERN), and the U.S. National Science Foundation (grants AGS1136479 and CHE1012293).

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