(734) 764-6286

Applications:
Climate Research, Earth Science, Environmental Sciences
Methodologies:
Bayesian Methods, Computational Tools for Data Science, Data Management, Data Visualization, Predictive Modeling, Statistical Inference, Statistical Modeling
Relevant Projects:

– United States Geological Survey (USGS) Powell Center Project: improving groundwater representation in models and data


Andrew Gronewold

Associate Professor

School for Environment and Sustainability


Affiliation(s):

Department of Civil and Environmental Engineering (CoE); Department of Earth and Environmental Sciences (LSA)

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.