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A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations

Chenxi Wang, Steven Platnick, Kerry Meyer, Zhibo Zhang, Yaping Zhou
2020 Atmospheric Measurement Techniques  
We trained two Random Forest (RF) machine learning models for cloud mask and cloud thermodynamic-phase detection using spectral observations from Visible Infrared Imaging Radiometer Suite (VIIRS) on board  ...  During the nighttime, the RF all-day model works best for both cloud detection and phase, particularly for pixels over snow and ice surfaces.  ...  Advanced Himawari Imager (AHI) on Himawari-8/9, the ABI on GOES-16/17, and the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat Second Generation, as long as reliable reference pixel  ... 
doi:10.5194/amt-13-2257-2020 fatcat:jjrgsfwjjjbghgxzcdbsw2bxnq