Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 19
Articles | Volume 17, issue 19
https://doi.org/10.5194/amt-17-5765-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-5765-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 19
Research article
 | 
02 Oct 2024
Research article |  | 02 Oct 2024

Supercooled liquid water cloud classification using lidar backscatter peak properties

Luke Edgar Whitehead, Adrian James McDonald, and Adrien Guyot

Viewed

Total article views: 578 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
412 125 41 578 33 36
  • HTML: 412
  • PDF: 125
  • XML: 41
  • Total: 578
  • BibTeX: 33
  • EndNote: 36
Views and downloads (calculated since 10 Jul 2023)
Cumulative views and downloads (calculated since 10 Jul 2023)

Viewed (geographical distribution)

Total article views: 578 (including HTML, PDF, and XML) Thereof 596 with geography defined and -18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Oct 2024
Download
Short summary
Supercooled liquid water cloud is important to represent in weather and climate models, particularly in the Southern Hemisphere. Previous work has developed a new machine learning method for measuring supercooled liquid water in Antarctic clouds using simple lidar observations. We evaluate this technique using a lidar dataset from Christchurch, New Zealand, and develop an updated algorithm for accurate supercooled liquid water detection at mid-latitudes.
Read more