Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 23
Articles | Volume 18, issue 23
https://doi.org/10.5194/amt-18-7243-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-7243-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 23
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: 1,095 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
929 126 40 1,095 33 53
  • HTML: 929
  • PDF: 126
  • XML: 40
  • Total: 1,095
  • BibTeX: 33
  • EndNote: 53
Views and downloads (calculated since 28 May 2025)
Cumulative views and downloads (calculated since 28 May 2025)

Viewed (geographical distribution)

Total article views: 1,095 (including HTML, PDF, and XML) Thereof 1,085 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Dec 2025
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.
Read more
Share