Research Projects
Ongoing Research
Improving deep learning predictions of extreme streamflow
Deep learning models predict streamflow remarkably well on average, but struggle with the rare extremes that matter most. We are investigating why, and how to close the gap.
Understanding Changes in Global Extreme Precipitation Using Machine Learning
Using climate model output and satellite observations, we train a series of convolutional neural networks to understand the underlying physical mechanisms contributing to extreme precipitation in different regions around the globe.
Understanding Anthropogenic Landforms Adjacent to Floodplains
Recent research shows a significant gap in the documentation of levees and other anthropogenic structures near floodplains. Understanding where these structures exist and what they are protecting impact our understanding of flooding behavior, risk exposure, and effective development planning.
