Machine Learning Weather Classification with Fluorescence Detector Pedestal Data at the Telescope Array Cosmic Observatory

Telescope Array Cosmic Ray Observatory has completed 10 years of operations with the Fluorescence Detector (FD) sites of Black Rock (BR) and Long Ridge (LR) achieving a duty cycle of 10% and 9% respectively. Included in the data is nights with cloudy weather which are excluded from our cosmic ray analysis. Weather observations are recorded every half hour while the FDs are operating by shift runners. However a more robust and uniform weather classification method is desired for flagging and excluding bad weather. A series of snapshot of the night sky was created using the detector's photomultiplier tubes (PMTs) pedestals. We classfied the night's weather using machine learning methods and the PMT pedestal snapshots. Results of this machine learning weather classification will be presented.