Hong-Xing Cui

Rapid Joint Downscaling of Multiple Atmospheric Fields to Kilometer Scale With Deep Learning

Predicting weather and climate hazards typically relies on computationally expensive kilometer‐scale numerical models. This study introduces a U‐Net‐based deep learning framework, the Joint Atmospheric fields Downscaling Network (JADNet), for rapid, joint downscaling of multiple atmospheric variables to kilometer res...