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Published September 11, 2018 | Supplemental Material + Published
Journal Article Open

Rapid growth of organic aerosol nanoparticles over a wide tropospheric temperature range

Abstract

Nucleation and growth of aerosol particles from atmospheric vapors constitutes a major source of global cloud condensation nuclei (CCN). The fraction of newly formed particles that reaches CCN sizes is highly sensitive to particle growth rates, especially for particle sizes <10 nm, where coagulation losses to larger aerosol particles are greatest. Recent results show that some oxidation products from biogenic volatile organic compounds are major contributors to particle formation and initial growth. However, whether oxidized organics contribute to particle growth over the broad span of tropospheric temperatures remains an open question, and quantitative mass balance for organic growth has yet to be demonstrated at any temperature. Here, in experiments performed under atmospheric conditions in the Cosmics Leaving Outdoor Droplets (CLOUD) chamber at the European Organization for Nuclear Research (CERN), we show that rapid growth of organic particles occurs over the range from −25 °C to 25 °C. The lower extent of autoxidation at reduced temperatures is compensated by the decreased volatility of all oxidized molecules. This is confirmed by particle-phase composition measurements, showing enhanced uptake of relatively less oxygenated products at cold temperatures. We can reproduce the measured growth rates using an aerosol growth model based entirely on the experimentally measured gas-phase spectra of oxidized organic molecules obtained from two complementary mass spectrometers. We show that the growth rates are sensitive to particle curvature, explaining widespread atmospheric observations that particle growth rates increase in the single-digit-nanometer size range. Our results demonstrate that organic vapors can contribute to particle growth over a wide range of tropospheric temperatures from molecular cluster sizes onward.

Additional Information

© 2018 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). Edited by John H. Seinfeld, California Institute of Technology, Pasadena, CA, and approved July 30, 2018 (received for review May 3, 2018). Published ahead of print August 28, 2018. We thank T. Kurten and N. Hyttinen for providing helpful COSMOtherm volatility estimates. We also thank K. Ivanova, P. Carrie, L.-P. De Menezes, J. Dumollard, 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 contributions to the experiment. We thank the European Organization for Nuclear Research (CERN) for supporting CLOUD with important technical and financial resources and for providing a particle beam from the CERN Proton Synchrotron. This research was supported by the European Commission Seventh Framework Programme (Marie Curie Initial Training Network "CLOUD-TRAIN" 316662); German Federal Ministry of Education and Research Grants 01LK1222 A and 01LK1601 A; Swiss National Science Foundation Projects 20FI20_159851, 200020_172602, and 20FI20_172622; Austrian Research Funding Association FFG Project 846050; Austrian Science Fund (FWF) Projects J3951-N36 and J-3900; European Research Council (ERC) Consolidator Grant NANODYNAMITE 616075; ERC-Advanced Grant DAMOCLES 692891; ERC Starting Grant COALA 638703; Horizon 2020 Marie Sklodowska-Curie Grant 656994 ("Nano-CAVa"); ERC Advanced Grant 742206 ATM-GP; Academy of Finland Center of Excellence Programme Grant 307331; US Department of Energy Grant DE-SC0014469; and the Presidium of the Russian Academy of Sciences Program "High Energy Physics and Neutrino Astrophysics" 2015.

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Published - 9122.full.pdf

Supplemental Material - pnas.1807604115.sapp.pdf

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Created:
August 21, 2023
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