Climate change has pushed the hydrological cycle out of statistical stationarity. We are frequently observing unprecedented floods and droughts. Such hydrological extrema are difficult to predict from existing observation data.
Mechanistic models can predict previously unobserved extrema and the system's response to them. Recent advances in computer technology enable us to run these models at increasingly larger scales. This may potentially lead to a paradigm shift in computational hydrology.
My research interest is in computational methods that fully leverage available data and computing power resources. My main tools are multiscale modeling and high-performance computing, which I'm applying to study the resilience of urban and environmental hydrosystems to climate change.