22 citations · 25 across the 4 of their papers we have counts for
4 papers
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'…
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,…
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…
Bayesian geoacoustic inversion using mixture density network
Guoli Wu, Jingya Zhang, Junqiang Song
Bayesian geoacoustic inversion problems are conventionally solved by Markov chain Monte Carlo methods or its variants, which are computationally expensive. This paper extends the c…