I’ve been reviewing recent advancements in urban runoff modeling, particularly with the integration of machine learning techniques. Innovations in data assimilation processes are showing promise in predicting runoff more accurately in cities with complex drainage systems. I’d love to hear if anyone has been using these methods in their own projects or studies?