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BEWARE database: A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts

November 14, 2017

A process-based wave-resolving hydrodynamic model (XBeach Non-Hydrostatic, XBNH) was used to create a large synthetic database for use in a Bayesian Estimator for Wave Attack in Reef Environments (BEWARE), relating incident hydrodynamics and coral reef geomorphology to coastal flooding hazards on reef-lined coasts. Building on previous work, BEWARE improves system understanding of reef hydrodynamics by examining the intrinsic reef and extrinsic forcing factors controlling runup and flooding on reef-lined coasts. The Bayesian estimator has high predictive skill for the XBNH model outputs that are flooding indicators, and was validated for a number of available field cases. BEWARE is a potentially powerful tool for use in early warning systems or risk assessment studies, and can be used to make projections about how wave-induced flooding on coral reef-lined coasts may change due to climate change.

These data accompany the following publication: Pearson, S.G., Storlazzi, C.D., van Dongeren, A.R., Tissier, M.F.S., and Reniers, A.J.H.M., 2017, A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts: Journal of Geophysical ResearchOceans, https://doi.org/10.1002/2017JC013204.

Publication Year 2017
Title BEWARE database: A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts
DOI 10.5066/F7T43S20
Authors Marion F.S. Tissier, Stuart G. Pearson, Curt D. Storlazzi, Ap R. van Dongeren, Ad J.H.M. Reniers
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Pacific Coastal and Marine Science Center