Modeling land-estuarine exchanges in shallow Chesapeake waters: State-of-the-art, challenges, and improved applications through community modeling


Session Date: June 2nd 2016

Session Time: 3:00

Session Lead: Maria Tzortziou

Session Co-Lead(s): Blake Clark, Raleigh Hood, and Marjy Friedrichs

Session Abstract:

Despite recent advances in modeling hydrodynamic, biogeochemical, water quality and fliving resources in watershed and estuarine environments, a large gap still exists in our ability to link these systems and model processes at the shallow terrestrial-aquatic interface. Improved, high-resolution, 3D mechanistic models with appropriate parameterizations for the key physical, chemical, and biological processes are critical for predicting potential responses of estuarine ecosystems to future anthropogenic pressures and assessing how the services these ecosystems provide may be altered in a changing climate. The development and application of such complex, coupled, mechanistic modeling frameworks requires the engagement of both scientists (modelers and experimentalists) as well as stakeholders to efficiently incorporate the new modeling approaches into enhanced scenario forecasting tools and decision support systems. This session aims to bring together modelers, experimentalists, managers and stakeholders to exchange information on current and future directions in modeling and understanding of the complex hydrodynamic, water quality and biogeochemical processes in the shallow waters of the Chesapeake Bay. 

Presentations:

Time Title
3:00 Comparison of Shallow-water Models for Use in Supporting Chesapeake Bay Management Decision-making - Marjorie Friedrichs - VIMS
3:20 Modeling light and primary production in shallow, turbid tributaries - John Klinck - Old Dominion University
3:40 Shallow-water simulation of Chester River Estuary using coupled FVCOM and ICM water quality model. - Richard Tian - UMCES
4:00 Development of a HAB Model for the James River Estuary - Jim Fitzpatrick - HDR, Inc.
4:20 Chesapeake Bayes: Big Data and Probabilistic Modeling - Pasky Pascual - US EPA
4:40 Modeling the marsh-estuary organic carbon cycle in the Rhode River, MD, USA - J. Blake Clark - Horn Point Laboratory, UMCES
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