Articles | Volume 20, issue 24
https://doi.org/10.5194/acp-20-15867-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-15867-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Identification of molecular cluster evaporation rates, cluster formation enthalpies and entropies by Monte Carlo method
Anna Shcherbacheva
CORRESPONDING AUTHOR
Institute for Atmospheric and Earth System Research, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland
Tracey Balehowsky
Department of Mathematics and Statistics Subunit, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland
Jakub Kubečka
Institute for Atmospheric and Earth System Research, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland
Tinja Olenius
Department of Environmental Science and Analytical Chemistry & Bolin Centre for Climate Research, Stockholm University, Svante Arrhenius väg 8, 11418 Stockholm, Sweden
Tapio Helin
LUT School of Engineering Science, Lappeenranta-Lahti University of Technology, P.O.Box 20, 53851 Lappeenranta, Finland
Heikki Haario
LUT School of Engineering Science, Lappeenranta-Lahti University of Technology, P.O.Box 20, 53851 Lappeenranta, Finland
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Marko Laine
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Theo Kurtén
Department of Chemistry, P.O. Box 55, University of Helsinki, 00014 Helsinki, Finland
Institute for Atmospheric and Earth System Research, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland
Hanna Vehkamäki
Institute for Atmospheric and Earth System Research, P.O. Box 64, University of Helsinki, 00014 Helsinki, Finland
Model code and software
AnnaShcher/Shcherbacheva_ACDP: Release 1 A. Shcherbacheva https://doi.org/10.5281/zenodo.3766925
Short summary
Atmospheric new particle formation and cluster growth to aerosol particles is an important field of research, in particular due to the climate change phenomenon. Evaporation rates are very difficult to account for but they are important to explain the formation and growth of particles. Different quantum chemistry (QC) methods produce substantially different values for the evaporation rates. We propose a novel approach for inferring evaporation rates of clusters from available measurements.
Atmospheric new particle formation and cluster growth to aerosol particles is an important field...
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