Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018)

By: , and 
Edited by: Ping WangElizabeth Royer, and Julie D. Rosati

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Abstract

In this work, we show that large-scale compound flood models developed for North and South Carolina, USA, can skillfully simulate multiple drivers of coastal flooding as confirmed by measurements collected during Hurricane Florence (2018). Besides the accuracy of representing observed water levels, the importance of individual processes was investigated. We demonstrate that across the area of interest, it is necessary to include marine, pluvial, and fluvial forcing and the processes of wind stress and infiltration to correctly model water levels along the coast and further inland. This work highlights the need to include these processes in modeling coastal compound flooding. By using high-resolution topo-bathymetry that is incorporated via subgrid derived tables in the Super-Fast INundation of CoastS (SFINCS) model, we improved the skill of the model at efficiently simulating flooding across large-scale domains with locally relevant results.

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Publication type Conference Paper
Publication Subtype Conference Paper
Title Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018)
DOI 10.1142/9789811275135_0235
Year Published 2023
Language English
Publisher World Scientific
Contributing office(s) Pacific Coastal and Marine Science Center
Description 9 p.
Larger Work Type Book
Larger Work Subtype Conference publication
Larger Work Title Coastal Sediments 2023: Proceedings of the Coastal Sediments 2023
First page 2576
Last page 2584
Conference Title Coastal Sediments 2023
Conference Location New Orleans, Louisiana, United States
Conference Date April 11-15, 2023
Country United States
State North Carolina, South Carolina
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