Professor Gronewold’s research interests lie in hydrological modeling, with a focus on propagating uncertainty and variability into model-based water resources management decisions. His specific research areas include predicting runoff in ungauged basins, monitoring and understanding water quality dynamics in coastal areas, and incorporating probability theory and Bayesian statistics into watershed-scale data sets and forecasting tools.

He holds an adjunct appointment in the U-M Department of Civil and Environmental Engineering. Prior to his appointment in SEAS, he worked in the NOAA Great Lakes Environmental Research Laboratory as a hydrologist and physical scientist.