Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 5
Articles | Volume 17, issue 5
https://doi.org/10.5194/amt-17-1475-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-17-1475-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 5
Research article
 | 
11 Mar 2024
Research article |  | 11 Mar 2024

Quantifying riming from airborne data during the HALO-(AC)3 campaign

Nina Maherndl, Manuel Moser, Johannes Lucke, Mario Mech, Nils Risse, Imke Schirmacher, and Maximilian Maahn

Viewed

Total article views: 2,374 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,919 401 54 2,374 79 92
  • HTML: 1,919
  • PDF: 401
  • XML: 54
  • Total: 2,374
  • BibTeX: 79
  • EndNote: 92
Views and downloads (calculated since 27 Sep 2023)
Cumulative views and downloads (calculated since 27 Sep 2023)

Viewed (geographical distribution)

Total article views: 2,374 (including HTML, PDF, and XML) Thereof 2,229 with geography defined and 145 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2025
Download
Short summary
In some clouds, liquid water droplets can freeze onto ice crystals (riming). Riming leads to the formation of snowflakes. We show two ways to quantify riming using aircraft data collected in the Arctic. One aircraft had a cloud radar, while the other aircraft was measuring directly in cloud. The first method compares radar and direct observations. The second looks at snowflake shape. Both methods agree, except when there were gaps in the cloud. This improves our ability to understand riming.
Read more
Share
Special issue
HALO-(AC)3 – an airborne campaign to study air...