Physics-Constrained Deep Neural Networks for Short-Term 3-D Flow Field Prediction Using Coastal Acoustic Tomography (opens in new tab)

Accurate prediction of 3-D ocean flow fields is essential for understanding small-scale dynamic processes, improving environmental monitoring, and enhancing the performance of underwater observation and operation systems. However, predictive modeling using coastal acoustic tomography (CAT) data remains relatively unexplored. This study proposes a novel physics-constrained (PC) deep learning framework, termed PC-long short-term memory (LSTM)- multilayer perceptron (MLP), to achieve the short-t...