Articles | Volume 25, issue 18
https://doi.org/10.5194/acp-25-11483-2025
© Author(s) 2025. 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-25-11483-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Sep 2025
Research article |
| 29 Sep 2025
| 29 Sep 2025
Seasonal differences in observed versus modelled new particle formation at two European boreal stations
Carl Svenhag
CORRESPONDING AUTHOR
Department of Physics, Lund University, Lund, Sweden
currently at: Department of Environmental Science, Aarhus University, Roskilde, Denmark
Pontus Roldin
Department of Physics, Lund University, Lund, Sweden
Tinja Olenius
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Robin Wollesen de Jonge
Department of Physics, Lund University, Lund, Sweden
currently at: Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, Finland
Sara M. Blichner
Department of Environmental Science and Analytical Chemistry, Stockholm University, Stockholm, Sweden
Daniel Yazgi
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Moa K. Sporre
Department of Physics, Lund University, Lund, Sweden
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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.
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Short summary
This study is an investigation of the model representation of how particles are formed and grow in the atmosphere. Using modelled and observed data from two boreal forest stations in 2018, we identify key factors for new particle formation to improve particle climate predictions in the global EC-Earth3 model. Comparisons with the detailed ADCHEM model show that adding ammonia improves particle growth predictions, though EC-Earth3 still greatly underestimates the number of particles during warmer months.
This study is an investigation of the model representation of how particles are formed and grow...
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