PhD Thesis: Hybrid Physical–Machine Learning Models Improve High Streamflow Prediction for Flood Early Warning

This PhD thesis defense by Sergio Ricardo López Chacón focuses on enhancing short-term prediction of high streamflow by combining physically based models with machine learning. It addresses key limitations of ML models in hydrology: accuracy degradation on high (flood-relevant) s