REMOTE SENSING AND DATA ASSIMILATION FOR SURF ZONE BATHYMETRIC INVERSION
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Keywords

data assimilation
bathymetry
forecasting

How to Cite

Wilson, G., Özkan-Haller, T., Holman, R., & Kurapov, A. (2012). REMOTE SENSING AND DATA ASSIMILATION FOR SURF ZONE BATHYMETRIC INVERSION. Coastal Engineering Proceedings, 1(33), waves.44. https://doi.org/10.9753/icce.v33.waves.44

Abstract

We demonstrate the implementation and validation of a surf zone forecasting system, which uses remote sensing observations to control errors in surf zone bathymetry. This system uses ensemble-based sequential data assimilation techniques, which are adaptable to arbitrary geophysical observations, and/or arbitrary improvements to model physics. The system is validated using data from a 2010 field experiment at Duck, NC (U.S.A.), and is shown to produce accurate corrections to bathymetry, leading to improvements in prediction of currents.
https://doi.org/10.9753/icce.v33.waves.44
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