Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published May 24, 2013 | Published
Book Section - Chapter Open

Atmospheric nucleation and growth in the CLOUD experiment at CERN

Abstract

Nucleation and growth of new particles in the atmosphere is thought to account for up to half of all cloud condensation nuclei. However the vapours and formation rates that underly this process are poorly understood, due both to the ultra low concentrations of participating vapours in the presence of high backgrounds and to the many sources of uncontrolled variability in the atmosphere. In consequence, laboratory measurements made under clean and precisely controlled conditions play an important role in identifying the vapours responsible and quantifying their associated nucleation and growth rates. The CLOUD experiment at CERN is studying the nucleation and growth of aerosol particles, and their interaction with clouds, in a 3 m stainless steel aerosol/cloud chamber. The experiment is optimised to study the influence of ions, for which the CERN Proton Synchrotron (PS) provides an adjustable source of 'cosmic rays'. Extraordinary care has been paid in the design and construction of CLOUD and its associated systems-gas, thermal, UV and electric field-to suppress contaminants at the technological limit. The unprecedented low contamination achieved in the CLOUD chamber has revealed that atmospheric nucleation and growth is sensitive to certain atmospheric vapours at mixing ratios of only a few parts-per-trillion by volume (pptv). Here we provide an overview of the design of CLOUD and its experimental programme over four years of operation at CERN.

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, Vetenskapsrådet (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).

Attached Files

Published - 1.4803258.pdf

Files

1.4803258.pdf
Files (1.5 MB)
Name Size Download all
md5:0a0aa20d1ca1a96d55bd3b5293caf57a
1.5 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
January 13, 2024