Downscaling SMAP soil moisture using a wide & deep learning method over the Continental United States

•A new SM downscaling framework based on the Wide & Deep Learning method is proposed to improve the spatial resolution of SMAP SM.•The proposed downscaling framework is conducted for the entire CONUS.•The downscaled SM at 1-km spatial resolution is validated using in-situ measurements collected from 211 sites distributed across the CONUS.