dx.doi.org
Statistical downscaling of precipitation with deep neural networks
February 2023 • Bing Gong, Yan Ji, Michael Langguth, Martin G. Schultz
Accurate weather predictions are essential for many aspects of social society. Providing a reliable high-resolution precipitation field is essential to capture the finer scale of heavy precipitation events,  which is normally poorly represented in the numerical models. Statistical downscaling is an appealing tool since it is computationally inexpensive. Thus, it has been widely used over the last three decades. In recent years, super-resolution with deep learning has been successfully applied to generate …