TECHNICAL PAPERS
Apr 1, 2008

Quantifying Uncertainty in Estuarine and Coastal Ocean Circulation Modeling

Publication: Journal of Hydraulic Engineering
Volume 134, Issue 4

Abstract

A methodology is developed to describe the effect of errors (or uncertainty) in the specification of certain drivers (bathymetry, river inflow, and wind speeds) on the circulation computed by a three-dimensional estuarine and coastal hydrodynamic circulation model. The methodology is based on first order variance analysis. Two analytical examples are used to illustrate the method and to provide a context for interpreting real world settings. An application of the method to a model of the N.Y./N.J. Harbor Estuary shows that current predictions are considerably sensitive to the accurate specification of bathymetry, and are usually more sensitive than water level predictions to errors in bathymetry. Estuarine properties with a strong seasonal (or spatial) component such as temperature or salinity did exhibit a sensitivity to driver accuracy that shifted from one season (or regime) to another. Bathymetry appears to control the circulation of the N.Y./N.J. Estuary more than the dynamic forcing of the winds and the Hudson River inflow, perhaps due to the fact that the estuary is primarily tidally driven.

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Acknowledgments

The writers want to acknowledge the excellent comments received from the Associate Editor and three anonymous reviewers who were assigned to this paper. Funding was provided by the Office of Naval Research under ONR Grant No. ONRN00014-03-1-0633.

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Published In

Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 134Issue 4April 2008
Pages: 403 - 415

History

Received: Nov 10, 2006
Accepted: Jul 26, 2007
Published online: Apr 1, 2008
Published in print: Apr 2008

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Authors

Affiliations

Alan F. Blumberg, F.ASCE
Ph.D.
Director of the Davidson Laboratory and George Meade Bond Professor of Ocean Engineering, Dept. of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Davidson Lab, 711 Hudson St., Hoboken, NJ 07030. E-mail: [email protected]
Nickitas Georgas, M.ASCE
Senior Research Engineer, Stevens Institute of Technology, Davidson Lab, 711 Hudson St., Hoboken, NJ 07030. E-mail: [email protected]

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