Deep Learning for Daily 2-m Temperature Downscaling

Abstract

This paper presents a novel deep learning downscaling method, UNR-Net, capable of downscaling daily 2-m temperature by a factor of 10• The overall performance of the UNR-Net method surpasses the U-Net method and linear regression method• The 12 components-based error decomposition method is proposed to analyze the error source of different models.