Articles | Volume 22, issue 21
https://doi.org/10.5194/acp-22-14441-2022
https://doi.org/10.5194/acp-22-14441-2022
Research article
 | 
11 Nov 2022
Research article |  | 11 Nov 2022

Predicting atmospheric background number concentration of ice-nucleating particles in the Arctic

Guangyu Li, Jörg Wieder, Julie T. Pasquier, Jan Henneberger, and Zamin A. Kanji

Viewed

Total article views: 3,055 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,135 855 65 3,055 105 57 50
  • HTML: 2,135
  • PDF: 855
  • XML: 65
  • Total: 3,055
  • Supplement: 105
  • BibTeX: 57
  • EndNote: 50
Views and downloads (calculated since 27 Jan 2022)
Cumulative views and downloads (calculated since 27 Jan 2022)

Viewed (geographical distribution)

Total article views: 3,055 (including HTML, PDF, and XML) Thereof 3,012 with geography defined and 43 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 10 Oct 2024
Download
Short summary
The concentration of ice-nucleating particles (INPs) is atmospherically relevant for primary ice formation in clouds. In this work, from 12 weeks of field measurement data in the Arctic, we developed a new parameterization to predict INP concentrations applicable for pristine background conditions based only on temperature. The INP parameterization could improve the cloud microphysical representation in climate models, aiding in Arctic climate predictions.
Altmetrics
Final-revised paper
Preprint