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Published February 27, 2016 | Published
Journal Article Open

Effect of ions on sulfuric acid-water binary particle formation: 2. Experimental data and comparison

Abstract

We report comprehensive, demonstrably contaminant-free measurements of binary particle formation rates by sulfuric acid and water for neutral and ion-induced pathways conducted in the European Organization for Nuclear Research Cosmics Leaving Outdoor Droplets chamber. The recently developed Atmospheric Pressure interface-time of flight-mass spectrometer was used to detect contaminants in charged clusters and to identify runs free of any contaminants. Four parameters were varied to cover ambient conditions: sulfuric acid concentration (10^5 to 10^9  mol cm^(−3)), relative humidity (11% to 58%), temperature (207 K to 299 K), and total ion concentration (0 to 6800 ions cm^(−3)). Formation rates were directly measured with novel instruments at sizes close to the critical cluster size (mobility size of 1.3 nm to 3.2 nm). We compare our results with predictions from Classical Nucleation Theory normalized by Quantum Chemical calculation (QC-normalized CNT), which is described in a companion paper. The formation rates predicted by the QC-normalized CNT were extended from critical cluster sizes to measured sizes using the UHMA2 sectional particle microphysics model. Our results show, for the first time, good agreement between predicted and measured particle formation rates for the binary (neutral and ion-induced) sulfuric acid-water system. Formation rates increase with RH, sulfuric acid, and ion concentrations and decrease with temperature at fixed RH and sulfuric acid concentration. Under atmospheric conditions, neutral particle formation dominates at low temperatures, while ion-induced particle formation dominates at higher temperatures. The good agreement between the theory and our comprehensive data set gives confidence in using the QC-normalized CNT as a powerful tool to study neutral and ion-induced binary particle formation in atmospheric modeling.

Additional Information

© 2015 American Geophysical Union. Received 17 Apr 2015. Accepted 31 Aug 2015. Accepted article online 4 Sep 2015. Published online 16 Feb 2016. 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. We also thank P. Carrie, L.-P. De Menezes, J. Dumollard, K. Ivanova, F. Josa, I. Krasin, R. Kristic, A. Laassiri, O.S. Maksumov, B. Marichy, H. Martinati, S.V. Mizin, R. Sitals, A. Wasem, and M. Wilhelmsson for their important contributions to the experiment. This research has received funding from the EC Seventh Framework Programme (Marie Curie Initial Training Network "CLOUD-ITN" 215072, MC-ITN "CLOUD-TRAIN" 316662, ERC-Starting "MOCAPAF" grant 57360 and ERC-Advanced "ATMNUCLE" grant 227463), the German Federal Ministry of Education and Research (projects 01LK0902A and 01LK1222A), the Swiss National Science Foundation (projects 200020 135307 and 206620 141278), the Academy of Finland (Center of Excellence project 1118615), the Academy of Finland (135054, 133872, 251427, 1133872, 139656, 139995, 137749, 141217, and 141451), the Finnish Funding Agency for Technology and Innovation, the Vaisala Foundation, the Kone foundation, the Nessling Foundation, the Austrian Science Fund (FWF; project J3198-N21), the Portuguese Foundation for Science and Technology (project 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), the U.S. National Science Foundation (grants AGS1136479, CHE1012293, and AGS1447056), PEGASOS project (funded by the European Commission under the Framework Program 7 (FP7-ENV-2010-265148)), and the Davidow Foundation. We thank the tofTools team for providing tools for mass spectrometry analysis. In keeping with AGU's Data Policy, all process experimental data used in this paper are summarized in Table 2, and raw data used to produce the results of the paper are available from the author upon request (jonathan.duplissy@helsinki.fi).

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Additional details

Created:
August 20, 2023
Modified:
October 18, 2023