Xiaoyun Su

Enhancing subseasonal 2 m temperature forecast correction and downscaling over north China based on terrain-informed deep learning

Accurate high-resolution temperature predictions at the subseasonal-to-seasonal (S2S) timescale are vital for applications in agriculture, energy management, and disaster mitigation. However, current S2S forecasting capacity is hindered by declining predictive skill with increasing lead time and limited capability in c...