Articles | Volume 14, issue 10
Atmos. Meas. Tech., 14, 6695–6710, 2021
https://doi.org/10.5194/amt-14-6695-2021
Atmos. Meas. Tech., 14, 6695–6710, 2021
https://doi.org/10.5194/amt-14-6695-2021

Research article 18 Oct 2021

Research article | 18 Oct 2021

Twenty-four-hour cloud cover calculation using a ground-based imager with machine learning

Bu-Yo Kim et al.

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Cited articles

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This study investigates a method for 24 h cloud cover calculation using a camera-based imager and supervised machine learning methods. The cloud cover is calculated by learning the statistical characteristics of the ratio, difference, and luminance using RGB channels of the image with a machine learning model. The proposed approach is suitable for nowcasting because it has higher learning and prediction speed than the method in which the many pixels of a 2D image are learned.