2022 article

Numerical extensions to incorporate subgrid corrections in an established storm surge model

Begmohammadi, A., Wirasaet, D., Poisson, A., Woodruff, J. L. L., Dietrich, J. C., Bolster, D., & Kennedy, A. B. B. (2022, December 28). COASTAL ENGINEERING JOURNAL.

co-author countries: United States of America ๐Ÿ‡บ๐Ÿ‡ธ
author keywords: Subgrid model; storm surge modeling; numerical method; SLOSH; mathematical modeling
Source: Web Of Science
Added: January 9, 2023

ABSTRACTABSTRACTInundation models represent coastal regions with a grid of computational points, often with varying resolution of flow pathways and barriers. Models based on coarse grid solutions of shallow water equations have been improved recently via the use of subgrid corrections, which account for information (ground surface elevations, roughness characteristics) at smaller scales. In this work, numerical approaches of an established storm surge model are extended to include subgrid corrections. In an attempt to maintain continuity with existing users and results, model extensions were limited to those needed to provide basic subgrid capabilities, and included two major additions. First, a finite volume method is used to incorporate corrections to the mass and momentum equations using high-resolution ground surface elevations. Second, the no-slip condition imposed on the B-grid wet/dry interface in the model is modified to a slip condition to enable flows in channels with widths comparable to cell size. Numerical results demonstrate these numerical extensions can significantly enhance the accuracy of the modelโ€™s predictions of coastal flooding, with low additional computational cost.KEYWORDS: Subgrid modelstorm surge modelingnumerical methodSLOSHmathematical modeling AcknowledgementThe authors thank Arthur Taylor for sharing the SLOSH source code.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Science Foundation, USA, via grants ICER 1664037 and 1664040, and through a grant from the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), USA. Their support is gratefully acknowledged.