Storm Surge

Storm surge, the abnormal rise in sea level during a storm, poses a significant threat to coastal communities, motivating research into accurate and efficient prediction models. Current research heavily utilizes machine learning, particularly convolutional and recurrent neural networks (like CNN-LSTMs and LSTMs), to improve forecasting accuracy, often by assimilating sparse in-situ data with broader reanalysis models or by correcting biases in existing physics-based simulations. These advancements aim to enhance both short-term emergency management and long-term risk assessment by providing faster, more reliable surge predictions, even for ungauged locations and extreme events.