Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-15071-2022
© Author(s) 2022. 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-22-15071-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing
Santeri Tuovinen
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Runlong Cai
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Veli-Matti Kerminen
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Jingkun Jiang
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Joint International research Laboratory of Atmospheric and Earth
System Research (JirLATEST), School of Atmospheric Sciences, Nanjing
University, Nanjing, China
Markku Kulmala
CORRESPONDING AUTHOR
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
Jenni Kontkanen
Institute for Atmospheric and Earth System Research/Physics, Faculty
of Science, University of Helsinki, Helsinki, Finland
CSC – IT Center for Science, Espoo, Finland
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Cited
10 citations as recorded by crossref.
- Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing S. Tuovinen et al. 10.5194/acp-22-15071-2022
- How the understanding of atmospheric new particle formation has evolved along with the development of measurement and analysis methods K. Lehtipalo et al. 10.1016/j.jaerosci.2024.106494
- Atmospheric nanoparticle growth D. Stolzenburg et al. 10.1103/RevModPhys.95.045002
- Reducing chemical complexity in representation of new-particle formation: evaluation of simplification approaches T. Olenius et al. 10.1039/D2EA00174H
- Opinion: The strength of long-term comprehensive observations to meet multiple grand challenges in different environments and in the atmosphere M. Kulmala et al. 10.5194/acp-23-14949-2023
- Comprehensive simulations of new particle formation events in Beijing with a cluster dynamics–multicomponent sectional model C. Li et al. 10.5194/acp-23-6879-2023
- Opinion: A paradigm shift in investigating the general characteristics of atmospheric new particle formation using field observations M. Kulmala et al. 10.5194/ar-2-49-2024
- Rapid Nucleation and Growth of Indoor Atmospheric Nanocluster Aerosol during the Use of Scented Volatile Chemical Products in Residential Buildings S. Patra et al. 10.1021/acsestair.4c00118
- Improved estimation of new particle formation rate for air quality model in a polluted region of South Korea Y. Kim et al. 10.1016/j.atmosenv.2025.121237
- Survival probability of new atmospheric particles: closure between theory and measurements from 1.4 to 100 nm R. Cai et al. 10.5194/acp-22-14571-2022
9 citations as recorded by crossref.
- Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing S. Tuovinen et al. 10.5194/acp-22-15071-2022
- How the understanding of atmospheric new particle formation has evolved along with the development of measurement and analysis methods K. Lehtipalo et al. 10.1016/j.jaerosci.2024.106494
- Atmospheric nanoparticle growth D. Stolzenburg et al. 10.1103/RevModPhys.95.045002
- Reducing chemical complexity in representation of new-particle formation: evaluation of simplification approaches T. Olenius et al. 10.1039/D2EA00174H
- Opinion: The strength of long-term comprehensive observations to meet multiple grand challenges in different environments and in the atmosphere M. Kulmala et al. 10.5194/acp-23-14949-2023
- Comprehensive simulations of new particle formation events in Beijing with a cluster dynamics–multicomponent sectional model C. Li et al. 10.5194/acp-23-6879-2023
- Opinion: A paradigm shift in investigating the general characteristics of atmospheric new particle formation using field observations M. Kulmala et al. 10.5194/ar-2-49-2024
- Rapid Nucleation and Growth of Indoor Atmospheric Nanocluster Aerosol during the Use of Scented Volatile Chemical Products in Residential Buildings S. Patra et al. 10.1021/acsestair.4c00118
- Improved estimation of new particle formation rate for air quality model in a polluted region of South Korea Y. Kim et al. 10.1016/j.atmosenv.2025.121237
Latest update: 23 Apr 2025
Short summary
We compare observed survival probabilities of atmospheric particles from Beijing, China, with survival probabilities based on analytical formulae and model simulations. We find observed survival probabilities under polluted conditions at smaller sizes to be higher, while at larger sizes they are lower than or similar to theoretical survival probabilities. Uncertainties in condensation sink and growth rate are unlikely to explain higher-than-predicted survival probabilities at smaller sizes.
We compare observed survival probabilities of atmospheric particles from Beijing, China, with...
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