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'…
physics.ao-ph2024
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-…
physics.flu-dyn2024
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…