And it's just a box of rain, I don't know who put it there. Believe it if you need it, or leave it if you dare. — from Box of Rain by Grateful Dead
Climate change has pushed the hydrological cycle of the earth out of statistical stationarity. We are frequently observing unprecedented floods and droughts. The environmental system's response to such hydrological extrema is difficult to predict from existing observation data.
Physically-based mechanistic models can predict the system's response to previously unobserved extrema. The results of such model runs give insight into the environmental system's inner working and help to develop management strategies. Historically, such models were computationally expensive. But advances in computer technology now enable us to run these models at increasingly larger scales. This may lead to a paradigm shift in hydrology.
My research interest is in computational methods for environmental and geophysical flow problems. Ideally, these methods should fully leverage available data and computing power resources. My main tools are numerical methods for differential equations and high-performance computing, which I'm applying to study the resilience of urban and environmental hydrosystems to climate change.