Senior Director, Water Resources Engineering
- PhD, Geography and Environmental Engineering/Systems, John Hopkins University
- MS, Civil Engineering/Water Resources, Georgia Institute of Technology
- BS, Civil Engineering/Water Resources, University of Maryland
Jay Day, PhD, specializes in watershed modeling and streamflow forecasting, with extensive experience in implementing river forecasting technology in the United States and around the world. During his career, he has capitalized on his knowledge of watershed modeling to support the development of decision support systems for improved water management.
Before joining Riverside Technology and RTI, Dr. Day spent 13 years at the National Weather Service (NWS) Hydrologic Research Laboratory, where he served as the Water Resources Forecasting Project area leader. In that role, he was responsible for development and operational support of the NWS Ensemble Streamflow Prediction system, which provides probabilistic forecasts of streamflow at time scales ranging from one week to several seasons. These forecasts help water managers make complex decisions involving competing objectives of water resource systems.
Dr. Day has 40 years of experience and has published more than 20 papers in his areas of expertise.