A new Applied Water Science study led by Berkeley Freshwater postdoc Sooyeon Yi highlights the importance of improving flood forecasting for reservoir-based systems, essential for effective flood management and community safety. By comparing advanced machine learning and deep learning techniques, the research provides valuable insights into optimizing prediction models, ultimately enhancing our ability to respond to extreme flood events. This work is crucial for informing decision-makers and improving early warning systems in regions vulnerable to flooding.
