1 citations · 1 across the 3 of their papers we have counts for
3 papers
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★ 1 cited
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…
physics.ao-ph2020
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…