Articles | Volume 18, issue 20
https://doi.org/10.5194/amt-18-5393-2025
https://doi.org/10.5194/amt-18-5393-2025
Research article
 | 
16 Oct 2025
Research article |  | 16 Oct 2025

Classifying thermodynamic cloud phase using machine learning models

Lexie Goldberger, Maxwell Levin, Carlandra Harris, Andrew Geiss, Matthew D. Shupe, and Damao Zhang

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Short summary
This study leverages machine learning models to classify cloud thermodynamic phases using multi-sensor remote sensing data collected at the Department of Energy Atmospheric Radiation Measurement North Slope of Alaska observatory. We evaluate model performance, feature importance, and application of the model to another observatory and quantify how the models respond to instrument outages.
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