Scripts for Paper Titled "Improving low-cloud fraction prediction through machine learning"

Two zip files of scripts were attached, used in the AGU GRL paper titled "Improving low-cloud fraction prediction through machine learning". One file was used to set up the nudging simulations of CAM5 and CAM6, which produced 6-hourly output. The 6-hourly output was not included, as it totaled ~2.6TB. Another file was used to optimize and train two machine learning models used in the study, including XGB10 and XGB7. It was noted that Bayesian optimization was adopted for hyperparameter tuning.