1 citations · 1 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'…
TSformer: A Non-autoregressive Spatial-temporal Transformers for 30-day Ocean Eddy-Resolving Forecasting
Guosong Wang, Min Hou, Mingyue Qin +4
Ocean forecasting is critical for various applications and is essential for understanding air-sea interactions, which contribute to mitigating the impacts of extreme events. State-…
Applications of Deep Learning parameterization of Ocean Momentum Forcing
Guosong Wang, Min Hou, Xinrong Wu +6
Mesoscale eddies are of utmost importance in understanding ocean dynamics and the transport of heat, salt, and nutrients. Accurate representation of these eddies in ocean models is…
Multimodal fusion for sea level anomaly forecasting
Guosong Wang, Xidong Wang, Xinrong Wu +4
The accumulated remote sensing data of altimeters and scatterometers have provided a new opportunity to forecast the ocean states and improve the knowledge in ocean/atmosphere exch…