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

Jorge A. Ramirez (), Michal Lichter, Tom J. Coulthard and Chris Skinner
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Jorge A. Ramirez: Florida Atlantic University
Michal Lichter: Hebrew University of Jerusalem
Tom J. Coulthard: University of Hull
Chris Skinner: University of Hull

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 82, issue 1, No 29, 590 pages

Abstract: 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 (

Keywords: Storm surge; Storm tide; Hydrodynamic model; Flooding; Impact assessment; Reduced-complexity (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s11069-016-2198-z

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