Using supervised learning to develop BaRAD, a 40-year monthly bias-adjusted global gridded radiation dataset

Abstract

Measurement(s) radiation components at the surface Technology Type(s) machine learning Factor Type(s) radiation Sample Characteristic - Environment climate Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15090462