Search Results for author:
Found 2 papers, 1 papers with code
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
To this end, we introduce a method for SST prediction that transfers physical knowledge from historical observations to numerical models.
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
Physical modeling methods can offer the potential for extrapolation beyond observational conditions, while data-driven methods are flexible in adapting to data and are capable of detecting unexpected patterns.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
