Articles | Volume 14, issue 10
Atmos. Meas. Tech., 14, 6695–6710, 2021
Atmos. Meas. Tech., 14, 6695–6710, 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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Alonso, J., Batlles, F. J., López, G., and Ternero, A.: Sky camera imagery processing based on a sky classification using radiometric data, Energy, 68, 599–608,, 2014. 
Alonso-Montesinos, J.: Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera, Remote Sens., 12, 1382,, 2020. 
Azhar, M. A. D. M., Hamid, N. S. A., Kamil, W. M. A. W. M., and Mohamad, N. S.: Daytime Cloud Detection Method Using the All-Sky Imager over PERMATApintar Observatory, Universe, 7, 41,, 2021. 
Short summary
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.