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Climatic Change

, Volume 149, Issue 3–4, pp 413–425 | Cite as

Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise

  • Davina L. Passeri
  • Matthew V. Bilskie
  • Nathaniel G. Plant
  • Joseph W. Long
  • Scott C. Hagen
Article

Abstract

Sea level rise (SLR) has the potential to exacerbate the impacts of extreme storm events on the coastal landscape. This study examines the coupled interactions of SLR on storm-driven hydrodynamics and barrier island morphology. A numerical model is used to simulate the hydrodynamic and morphodynamic impacts of two Gulf of Mexico hurricanes under present-day and future sea levels. SLR increased surge heights and caused overwash to occur at more locations and for longer durations. During surge recession, water level gradients resulted in seaward sediment transport. The duration of the seaward-directed water level gradients was altered under SLR; longer durations caused more seaward-directed cross-barrier transport and a larger net loss in the subaerial island volume due to increased sand deposition in the nearshore. Determining how SLR and the method of SLR implementation (static or dynamic) modulate storm-driven morphologic change is important for understanding and managing longer-term coastal evolution.

Notes

Acknowledgments

The model inputs and outputs for this study can be found in Passeri, D.L., Bilskie, M.V., Plant, N.G., Long, J.W., Hagen, S.C., 2018, Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Inputs and Results: U.S. Geological Survey data release,  https://doi.org/10.5066/F7N87930. The authors would like to thank Soupy Dalyander at USGS and the anonymous reviewers for their constructive comments. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Funding information

This effort was funded in part under awards NA10NOS4780146 and NA16NOS4780208 from the National Oceanic and Atmospheric Administration (NOAA) Center for Sponsored Coastal Ocean Research (CSCOR).

Supplementary material

10584_2018_2245_MOESM1_ESM.docx (536 kb)
ESM 1 (DOCX 536 kb)
10584_2018_2245_MOESM2_ESM.docx (1.1 mb)
ESM 2 (DOCX 1155 kb)
10584_2018_2245_MOESM3_ESM.docx (395 kb)
ESM 3 (DOCX 394 kb)
10584_2018_2245_MOESM4_ESM.docx (248 kb)
ESM 4 (DOCX 247 kb)

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Copyright information

© This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2018

Authors and Affiliations

  1. 1.U.S. Geological Survey St. Petersburg Coastal and Marine Science CenterSt. PetersburgUSA
  2. 2.Center for Coastal ResiliencyLouisiana State UniversityBaton RougeUSA
  3. 3.Department of Civil & Environmental Engineering/Center for Computation & TechnologyLouisiana State UniversityBaton RougeUSA
  4. 4.U.S. Geological Survey St. Petersburg Coastal and Marine Science CenterSt. PetersburgUSA

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