“…Due to the complexity of spatiotemporal characteristics, downscaling remains a challenging and intricate problem. Over the past few decades, various downscaling techniques have been proposed, including simple downscaling, dynamical downscaling (Jing et al., 2022; F. Wang et al., 2021), and statistical downscaling (Fowler et al., 2007; Sharifi et al., 2019; Zhi et al., 2016). Among these, statistical downscaling exhibits a distinct advantage due to its high accuracy, excellent scalability, and lower computational resource requirements (Frei et al., 2003; Hagemann et al., 2004; L. Ji, Zhi, Schalge, et al., 2023; Kim & Barros, 2002; Mannig et al., 2013).…”