Nate Hyde


June 2007

Document Type


Degree Name



Dept. of Environmental and Biomolecular Systems


Oregon Health & Science University


Coastal ecosystems are inadequately understood in the context of increasing stresses from a combination of anthropogenic sources, natural variability and global climate change. Estuarine Modeling Systems (EMS) seek to advance knowledge of estuarine and near-shore circulation by combining observations, 3D numerical simulations, and data products. The Rapid Deployment Forecasting System (RDFS) has been conceived in order to facilitate the expansion of EMS. RDFS involves the quick deployment of model-based forecasting systems, which can be then be leveraged into high quality EMS. A pilot Coos Bay Estuary RDFS has been launched and developed towards a full fledged EMS. Through this development the opportunities and obstacles in the RDFS to EMS process are investigated. With the spread of EMS comes the opportunity to re-visit and expand fundamental understanding of estuarine processes, including extended ability to conduct comparisons across estuaries. A newly conceived model-based estuarine characterization and classification system (MECCS) uses EMS to provide effective logistical means to hypothesize, to classify and to contrast estuarine behavior. At the core of MECCS is the filtering of simulation EMS databases, using mostly classical definitions of a range of dimensionless numbers and classification parameters. A pilot MECCS associated with the pilot Coos Bay EMS has been developed. Initial characterization and classification numbers focus on traditional parameters associated with stratification and circulation, as well as parameters associated with estuarine flushing.




OGI School of Science and Engineering



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