Dr. Andrew Gronewold, P.E., is an Associate Professor with the School for Environment and Sustainability (SEAS) at the University of Michigan. He also holds adjunct faculty appointments in the University of Michigan’s Department of Civil and Environmental Engineering, and the Department of Earth and Environmental Sciences. Dr. Gronewold conducts research through a range of hydrological science projects that explore methods for quantifying and communicating uncertainties arising within long-term hydrological monitoring networks and data, and incorporating those uncertainties into models and risk-based water resources management decisions. Much of his recent research has focused on monitoring, analyzing, and forecasting the long-term water budget and water levels of the Laurentian Great Lakes.
COntact
WebsiteLocation
Ann Arbor
Methodologies
Bayesian Methods / Computing / Data Visualization / Databases and Data management / Machine Learning / Mathematical and Statistical Modeling / Statistics
Applications
Earth Science and Ecology / Environmental and Climate Research