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Hyper-resolution mapping of regional storm surge and tide flooding: comparison of static and dynamic models

Author

Listed:
  • Jorge A. Ramirez

    (Florida Atlantic University)

  • Michal Lichter

    (Hebrew University of Jerusalem)

  • Tom J. Coulthard

    (University of Hull)

  • Chris Skinner

    (University of Hull)

Abstract

Storm tide (combination of storm surge and the astronomical tide) flooding is a natural hazard with significant global social and economic consequences. For this reason, government agencies and stakeholders need storm tide flood maps to determine population and infrastructure at risk to present and future levels of inundation. Computer models of varying complexity are able to produce regional-scale storm tide flood maps and current model types are either static or dynamic in their implementation. Static models of storm tide utilize storm tide heights to inundate locations hydrologically connected to the coast, whilst dynamic models simulate physical processes that cause flooding. Static models have been used in regional-scale storm tide flood impact assessments, but model limitations and coarse spatial resolutions contribute to uncertain impact estimates. Dynamic models are better at estimating flooding and impact but are computationally expensive. In this study we have developed a dynamic reduced-complexity model of storm tide flooding that is computationally efficient and is applied at hyper-resolutions (

Suggested Citation

  • Jorge A. Ramirez & Michal Lichter & Tom J. Coulthard & Chris Skinner, 2016. "Hyper-resolution mapping of regional storm surge and tide flooding: comparison of static and dynamic models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 571-590, May.
    • Handle: RePEc:spr:nathaz:v:82:y:2016:i:1:d:10.1007_s11069-016-2198-z
    DOI: 10.1007/s11069-016-2198-z
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    References listed on IDEAS

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    1. Barbara Neumann & Athanasios T Vafeidis & Juliane Zimmermann & Robert J Nicholls, 2015. "Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-34, March.
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    Cited by:

    1. Arnaud Mignan, 2022. "A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment," IJERPH, MDPI, vol. 19(23), pages 1-22, December.
    2. Edward Helderop & Tony H. Grubesic, 2022. "Hurricane storm surge: toward a normalized damage index for coastal regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 1179-1197, January.
    3. Hai Sun & Jin Wang & Wentao Ye, 2021. "A Data Augmentation-Based Evaluation System for Regional Direct Economic Losses of Storm Surge Disasters," IJERPH, MDPI, vol. 18(6), pages 1-23, March.
    4. C. A. Rucker & N. Tull & J. C. Dietrich & T. E. Langan & H. Mitasova & B. O. Blanton & J. G. Fleming & R. A. Luettich, 2021. "Downscaling of real-time coastal flooding predictions for decision support," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(2), pages 1341-1369, June.
    5. Arnaud Mignan, 2022. "Categorizing and Harmonizing Natural, Technological, and Socio-Economic Perils Following the Catastrophe Modeling Paradigm," IJERPH, MDPI, vol. 19(19), pages 1-32, October.
    6. Bouchra Zellou & Hassane Rahali, 2017. "Assessment of reduced-complexity landscape evolution model suitability to adequately simulate flood events in complex flow conditions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 1-29, March.
    7. D. J. Rasmussen & Scott Kulp & Robert E. Kopp & Michael Oppenheimer & Benjamin H. Strauss, 2022. "Popular extreme sea level metrics can better communicate impacts," Climatic Change, Springer, vol. 170(3), pages 1-17, February.
    8. Alaa Ahmed & Guna Hewa & Abdullah Alrajhi, 2021. "Flood susceptibility mapping using a geomorphometric approach in South Australian basins," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 629-653, March.
    9. Y. Androulidakis & C. Makris & Z. Mallios & I. Pytharoulis & V. Baltikas & Y. Krestenitis, 2023. "Storm surges and coastal inundation during extreme events in the Mediterranean Sea: the IANOS Medicane," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 939-978, May.

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