Science Talks


Join us every other Friday at 10:00am as we feature local scientists discussing their work and data. We are excited to highlight the great research going on in the Mid-Atlantic!

You can watch our previous presentation, featuring Dr. Daniel Wang, can be viewed here.

Take a look at these past and upcoming presenters:


Title: Mechanisms of Temperature Change in the Chesapeake Bay
July 23, 10:00am Eastern. Featuring Kyle Hinson


Kyle Hinson is a PhD student at the Virginia Institute of Marine Science at the College of William and Mary studying current and future impacts of climate change on Chesapeake Bay Hypoxia. After graduating from UNC Chapel Hill with a B.S. in 2014, he worked as a modeling staffer at the USEPA’s Chesapeake Bay Program Office for the Scientific, Technical Assessment and Reporting Workgroup. While at the Bay Program, he helped incorporate climate change and atmospheric deposition projections to model estimates of future watershed nutrient runoff. This work continued when he entered VIMS as a graduate student and began applying modeling techniques to study the impacts of recent temperature trends, climate change uncertainty, and nutrient reductions on Bay water quality. These studies can provide important insights for watershed managers seeking to make informed decisions in the face of uncertain future climate conditions.

Recent warming in the Chesapeake Bay over the past 30 years has acted as a continuous stressor on estuarine water quality and oxygen demand, in addition to anthropogenic impacts of nutrient runoff and land-use change. A multi-jurisdictional effort is underway in the Bay watershed to improve estuarine health via nutrient and sediment reductions and reach established water quality targets. Managers are particularly interested in determining the extent to which warming trends have limited the success of management efforts. To assess the relative importance of various mechanisms contributing to observed Bay warming, we use a 3-D hydrodynamic-biogeochemical estuarine model based on the Regional Ocean Modeling System (ROMS) linked to an independent regulatory watershed model. This presentation will present the results of idealized experiments that studied the impacts of individual and combined changes in atmospheric temperature, river temperature, ocean temperature, and sea level.


Title: Real-time short-term environmental forecasting of the Chesapeake Bay: setup, uses and next steps
July 9, 10:00am Eastern. Featuring Dr. Aaron Bever


Real-time nowcasts (current conditions) and 2-day forecasts of environmental conditions in Chesapeake Bay have been continuously available online since February 2017 and are based on the Chesapeake Bay Environmental Forecast System (CBEFS). The current environmental conditions and forecasts are estimated using a 3D coupled hydrodynamic-biogeochemical model that runs daily and conditions are visualized online (www.vims.edu/hypoxia). Nowcasts and 2-day forecasts include daily averaged salinity, water temperature, pH, aragonite saturation state, dissolved oxygen, and hypoxic volume (i.e., the volume of Bay water with dissolved oxygen less than 2 mg/L). Line plots of modeled dissolved oxygen, salinity, temperature, and pH compared to the most recent Water Quality Monitoring Program data are also available online. This presentation will describe the general setup of the environmental forecast system, some current uses of the real-time products, and next steps for expanding the environmental conditions included in the forecast.

Dr. Aaron Bever has more than 15 years of experience combining field observations and state of the art 3D hydrodynamic, water quality, sediment transport, and wave models to better understand coastal and estuarine systems. Most of his recent work has focused on salinity and turbidity modeling and sediment deposition and dispersal in San Francisco Bay and also on methods to better estimate and forecast hypoxia in the Chesapeake Bay. His work in multiple estuarine systems combining long-term field-collected datasets with numerical model results has demonstrated that numerical models can give valuable insight for supporting management decisions and for improving observational sampling strategies and strategic instrument deployments. Dr. Bever received a PhD in Marine Science from Virginia Institute of Marine Science, College of William & Mary in 2011.