Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 17
Articles | Volume 15, issue 17
https://doi.org/10.5194/amt-15-5141-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5141-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 17
Research article
 | 
13 Sep 2022
Research article |  | 13 Sep 2022

Ice crystal images from optical array probes: classification with convolutional neural networks

Louis Jaffeux, Alfons Schwarzenböck, Pierre Coutris, and Christophe Duroure

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Short summary
Optical array probes are instruments used aboard research aircraft to capture 2D images of ice or water particles in clouds. This study presents a new tool using innovative machine learning, called convolutional neural networks, designed to identify the shape of imaged ice particles for two of these imagers, namely 2DS and PIP. Such a tool will be a very strong asset for understanding cloud microphysics. Beyond traditional evaluation metrics, human inspections were performed of unknown data.
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