Articles | Volume 17, issue 19
https://doi.org/10.5194/amt-17-5765-2024
https://doi.org/10.5194/amt-17-5765-2024
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

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Latest update: 13 Mar 2025
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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.
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