Articles | Volume 18, issue 23
https://doi.org/10.5194/amt-18-7243-2025
https://doi.org/10.5194/amt-18-7243-2025
Research article
 | 
02 Dec 2025
Research article |  | 02 Dec 2025

The Ice Cloud Imager: retrieval of frozen water mass profiles

Eleanor May and Patrick Eriksson

Viewed

Total article views: 2,003 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,674 246 83 2,003 59 72
  • HTML: 1,674
  • PDF: 246
  • XML: 83
  • Total: 2,003
  • BibTeX: 59
  • EndNote: 72
Views and downloads (calculated since 28 May 2025)
Cumulative views and downloads (calculated since 28 May 2025)

Viewed (geographical distribution)

Total article views: 2,003 (including HTML, PDF, and XML) Thereof 1,990 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Apr 2026
Download
Short summary
The vertical distribution of atmospheric ice impacts Earth's weather and climate. The Ice Cloud Imager (ICI) will measure at microwave and sub-millimetre frequencies, which are well suited to detect atmospheric ice. In this study, a machine learning model is trained on ICI simulations. Results show that the vertical distribution of ice can be derived from ICI observations, and that ICI could offer a valuable data source that complements existing radar- and lidar-based measurements.
Share