Searching. Please wait…
1583
37
170
29013
4402
2599
347
386
Abstract: Climate change-induced sea level rise and increasing storm severity are significant stressors that threaten the livability of coastal areas worldwide. This research presents a site-specific metamodel based on SWASH (Simulating WAves till SHore) numerical model simulations that aim at simplifying in a fast and efficient manner the prediction of hydrodynamic variables along cross-shore profiles. To accomplish this, a large synthetic database of offshore wave and sea level conditions is created and downscaled using numerical modeling together with sampling, selection, and interpolation techniques. All these mathematical methods permit to replace the computationally intensive cost of classical dynamical downscaling. In addition, the metamodel uses dimensionality reduction techniques that allow to account for a comprehensive analysis of the primary patterns governing the coastal hydrodynamic behavior. The proposed tool has been numerically validated in three different idealized coral reef profiles, showing good skill at reproducing the spatial evolution of wave setup, wave heights associated with different frequency bands, and wave runup. The flexibility and robustness of the method make it very convenient for being used in coastal risk assessments, early warning systems, or climate change projections.
Fuente: Ocean Engineering, 2024, 291, 116419
Publisher: Elsevier BV
Publication date: 01/01/2024
No. of pages: 12
Publication type: Article
DOI: 10.1016/j.oceaneng.2023.116419
ISSN: 0029-8018,1873-5258
Spanish project: PID2019-107053RB-I00
Publication Url: https://doi.org/10.1016/j.oceaneng.2023.116419
Consult in UCrea Read publication
ALBA RICONDO CUEVA
LAURA CAGIGAL GIL
BEATRIZ PEREZ DIAZ
FERNANDO JAVIER MENDEZ INCERA
Back