Articles | Volume 13, issue 5
Atmos. Meas. Tech., 13, 2219–2239, 2020
https://doi.org/10.5194/amt-13-2219-2020
Atmos. Meas. Tech., 13, 2219–2239, 2020
https://doi.org/10.5194/amt-13-2219-2020

Research article 08 May 2020

Research article | 08 May 2020

A convolutional neural network for classifying cloud particles recorded by imaging probes

Georgios Touloupas et al.

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Latest update: 24 Feb 2021
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Short summary
Images of cloud particles give important information for improving our understanding of microphysical cloud processes. For phase-resolved measurements, a large number of water droplets and ice crystals need to be classified by an automated approach. In this study, a convolutional neural network was designed, which exceeds the classification ability of traditional methods and therefore shortens the analysis procedure of cloud particle images.