Weiming Hu

I am particularly passionate about quantifying and understanding the level of uncertainty from multi-source data, e.g., remote sensing, model simulations, and ground observations, and from hybrid dynamical-machine-learning models. My goal is to investigate how to build accurate, reliable, trustworthy, and realistic models with machine learning for Environmental and Earth Sciences. My work has been applied to renewable energy forecasting, extreme event forecasting, and water resource management.