HyCReWW: A hybrid coral reef wave and water level metamodel

Ana C. Rueda; Laura Cagigal; Stuart Pearson; Jose Antolínez; Curt D. Storlazzi; Ap van Dongeren; Paula Camus; Fernando J. Mendez

doi:10.1016/j.cageo.2019.03.004

HyCReWW: A hybrid coral reef wave and water level metamodel

Computers & Geosciences

By: Ana C. Rueda, Laura Cagigal, Stuart Pearson, Jose Antolínez, Curt D. Storlazzi, Ap van Dongeren, Paula Camus, and Fernando J. Mendez

https://doi.org/10.1016/j.cageo.2019.03.004

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Data Release: USGS data release - HyCReWW database: A hybrid coral reef wave and water level metamodel
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Abstract

Wave-induced flooding is a major coastal hazard on tropical islands fronted by coral reefs. The variability of shape, size, and physical characteristics of the reefs across the globe make it difficult to obtain a parameterization of wave run-up, which is needed for risk assessments. Therefore, we developed the HyCReWW metamodel to predict wave run-up under a wide range of reef morphometric and offshore forcing characteristics. Due to the complexity and high dimensionality of the problem, we assumed an idealized one-dimensional reef profile, characterized by seven primary parameters. XBeach Non-Hydrostatic was chosen to create the synthetic dataset, and Radial Basis Functions implemented in MATLAB® were chosen for interpolation. Results demonstrate the applicability of the metamodel to obtain fast and accurate results of wave run-up for a large range of intrinsic reef morphologic and extrinsic hydrodynamic forcing parameters, offering a useful tool for risk management and early warning systems.

Suggested Citation

Rueda, A.C., Cagigal, L., Pearson, S., Antolínez, J., Storlazzi, C.D., van Dongeren, A., Camus, P., and Mendez, F.J., 2019, HyCReWW: A hybrid coral reef wave and water level metamodel: Computers & Geosciences, v. 127, p. 85-90, https://doi.org/10.1016/j.cageo.2019.03.004.

Additional publication details
Publication type	Article
Publication Subtype	Journal Article
Title	HyCReWW: A hybrid coral reef wave and water level metamodel
Series title	Computers & Geosciences
DOI	10.1016/j.cageo.2019.03.004
Volume	127
Year Published	2019
Language	English
Publisher	Elsevier
Contributing office(s)	Pacific Coastal and Marine Science Center
Description	6 p.
First page	85
Last page	90