User Profile profile for daniel.obenour

Dan Obenour develops quantitative models that improve our ability to understand, manage, and forecast the behavior of complex environmental systems. His research focuses on water quality issues, such as hypoxia and harmful algal blooms, in numerous lakes, reservoirs, and coastal areas across the United States. He also has expertise in watershed and stream water quality modeling, and in developing nonpoint-source pollution control plans. Dan’s research recognizes the inherent uncertainties involved in environmental and ecological modeling, and thus emphasizes the advancement of probabilistic (e.g., Bayesian, geostatistical) frameworks. He also aims to reduce model uncertainties through the assimilation of diverse data sources within these frameworks. Dan received a PhD in Natural Resources and Environmental Engineering from the University of Michigan in 2013, was a post-doctoral research fellow at the UM Water Center and NOAA Great Lakes Environmental Research Laboratory in 2014, and is currently an Assistant Professor at NC State University. He also has several years of civil and environmental engineering consulting experience.