Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 22
Articles | Volume 22, issue 22
https://doi.org/10.5194/acp-22-14571-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-14571-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 22
Research article
 | 
16 Nov 2022
Research article |  | 16 Nov 2022

Survival probability of new atmospheric particles: closure between theory and measurements from 1.4 to 100 nm

Runlong Cai, Chenjuan Deng, Dominik Stolzenburg, Chenxi Li, Junchen Guo, Veli-Matti Kerminen, Jingkun Jiang, Markku Kulmala, and Juha Kangasluoma

Viewed

Total article views: 2,878 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,029 792 57 2,878 83 101
  • HTML: 2,029
  • PDF: 792
  • XML: 57
  • Total: 2,878
  • BibTeX: 83
  • EndNote: 101
Views and downloads (calculated since 29 Jul 2022)
Cumulative views and downloads (calculated since 29 Jul 2022)

Viewed (geographical distribution)

Total article views: 2,878 (including HTML, PDF, and XML) Thereof 2,878 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Dec 2025
Download
Short summary
The survival probability of new particles is the key parameter governing their influences on the atmosphere and climate, yet the knowledge of particle survival in the atmosphere is rather limited. We propose methods to compute the size-resolved particle survival probability and validate them using simulations and measurements from diverse environments. Using these methods, we could explain particle survival from the cluster size to the cloud condensation nuclei size.
Read more
Share
Altmetrics
Final-revised paper
Preprint