Daniel Obenour

Area(s) of Expertise

I am interested in the development of probabilistic models that improve our ability to understand and manage complex environmental systems, with a primary focus on water quality dynamics in streams, lakes, and coastal areas. I use mechanistic and empirical modeling approaches for assessing the severity and causes of environmental impairments, in order to inform effective and efficient watershed and waterbody management. My research advances process-based modeling within a probabilistic (e.g., Bayesian) framework, often across large spatial scales. My research team currently provides annual hypoxia and algal bloom forecasts for Lake Erie, the northern Gulf of Mexico, and Neuse Estuary.