Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2861-2021
© Author(s) 2021. 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-21-2861-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth
Institute of Chemistry, Eötvös Loránd University, Budapest, Hungary
Excellence Center, Faculty of Science, Eötvös Loránd University, Martonvásár, Hungary
Wanda Thén
Institute of Chemistry, Eötvös Loránd University, Budapest, Hungary
Hevesy György Ph. D. School of Chemistry, Eötvös Loránd University, Budapest, Hungary
Pasi Aalto
Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, Finland
Veli-Matti Kerminen
Department of Geophysics and Space Science, Eötvös Loránd University, Budapest, Hungary
Anikó Kern
Department of Geophysics and Space Science, Eötvös Loránd University, Budapest, Hungary
Zoltán Barcza
Excellence Center, Faculty of Science, Eötvös Loránd University, Martonvásár, Hungary
Department of Meteorology, Eötvös Loránd University, Budapest, Hungary
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic
Tuukka Petäjä
Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, Finland
Markku Kulmala
Institute for Atmospheric and Earth System Research, University of Helsinki, Helsinki, Finland
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- Quiet New Particle Formation in the Atmosphere M. Kulmala et al. 10.3389/fenvs.2022.912385
- Secondary organic carbon in different atmospheric environments of a continental region and seasons I. Salma et al. 10.1016/j.atmosres.2022.106360
- New particle formation event detection with convolutional neural networks X. Zhang et al. 10.1016/j.atmosenv.2024.120487
- Particle Number Concentration: A Case Study for Air Quality Monitoring W. Thén & I. Salma 10.3390/atmos13040570
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- Seamlessly combined historical and projected daily meteorological datasets for impact studies in Central Europe: The FORESEE v4.0 and the FORESEE-HUN v1.0 A. Kern et al. 10.1016/j.cliser.2023.100443
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8 citations as recorded by crossref.
- Quiet New Particle Formation in the Atmosphere M. Kulmala et al. 10.3389/fenvs.2022.912385
- Secondary organic carbon in different atmospheric environments of a continental region and seasons I. Salma et al. 10.1016/j.atmosres.2022.106360
- New particle formation event detection with convolutional neural networks X. Zhang et al. 10.1016/j.atmosenv.2024.120487
- Particle Number Concentration: A Case Study for Air Quality Monitoring W. Thén & I. Salma 10.3390/atmos13040570
- Firework smoke: Impacts on urban air quality and deposition in the human respiratory system I. Salma et al. 10.1016/j.envpol.2023.121612
- Seamlessly combined historical and projected daily meteorological datasets for impact studies in Central Europe: The FORESEE v4.0 and the FORESEE-HUN v1.0 A. Kern et al. 10.1016/j.cliser.2023.100443
- Attribution of aerosol particle number size distributions to main sources using an 11-year urban dataset M. Vörösmarty et al. 10.5194/acp-24-5695-2024
- Correlation between the Concentrations of Atmospheric Ions and Radon as Judged from Measurements at the Fonovaya Observatory M. Arshinov et al. 10.1134/S1024856022010158
Latest update: 22 Nov 2024
Short summary
The distribution of the monthly mean nucleation frequency possessed a characteristic pattern. Its shape was compared to those of environmental variables, including vegetation-derived properties. The spring maximum in the occurrence frequency often overlapped with the positive T anomaly. The link between the heat stress and the occurrence minimum in summer could not be proven, whereas an association between the occurrence frequency and vegetation growth dynamics was clearly identified in spring.
The distribution of the monthly mean nucleation frequency possessed a characteristic pattern....
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