3 papers
physics.geo-ph2025
Diffusion Models Bridge Deep Learning and Physics in ENSO Forecasting
Weifeng Xu, Xiang Zhu, Xiaoyong Li +19
Accurate long-range forecasting of the El \Nino-Southern Oscillation (ENSO) is vital for global climate prediction and disaster risk management. Yet, limited understanding of ENSO'…
cs.LG2024
Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
Yifan Hu, Fukang Yin, Weimin Zhang +4
Long-term stability stands as a crucial requirement in data-driven medium-range global weather forecasting. Spectral bias is recognized as the primary contributor to instabilities,…
physics.ao-ph2024
XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting
Xiang Wang, Renzhi Wang, Ningzi Hu +16
The leading operational Global Ocean Forecasting Systems (GOFSs) use physics-driven numerical forecasting models that solve the partial differential equations with expensive comput…