Articles | Volume 23, issue 10
https://doi.org/10.5194/acp-23-5735-2023
https://doi.org/10.5194/acp-23-5735-2023
Research article
 | 
23 May 2023
Research article |  | 23 May 2023

Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations

Aishwarya Raman, Thomas Hill, Paul J. DeMott, Balwinder Singh, Kai Zhang, Po-Lun Ma, Mingxuan Wu, Hailong Wang, Simon P. Alexander, and Susannah M. Burrows

Viewed

Total article views: 2,801 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,235 529 37 2,801 129 28 26
  • HTML: 2,235
  • PDF: 529
  • XML: 37
  • Total: 2,801
  • Supplement: 129
  • BibTeX: 28
  • EndNote: 26
Views and downloads (calculated since 12 Apr 2022)
Cumulative views and downloads (calculated since 12 Apr 2022)

Viewed (geographical distribution)

Total article views: 2,801 (including HTML, PDF, and XML) Thereof 2,742 with geography defined and 59 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Apr 2024
Download
Short summary
Ice-nucleating particles (INPs) play an important role in cloud processes and associated precipitation. Yet, INPs are not accurately represented in climate models. This study attempts to uncover these gaps by comparing model-simulated INP concentrations against field campaign measurements in the SO for an entire year, 2017–2018. Differences in INP concentrations and variability between the model and observations have major implications for modeling cloud properties in high latitudes.
Altmetrics
Final-revised paper
Preprint