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Storm Surge Modeling

Storm surge modeling simulates the abnormal rise of coastal water driven by a storm — principally the wind stress and low atmospheric pressure of a hurricane or extratropical cyclone — by solving the depth-integrated shallow-water equations of coastal hydrodynamics. The surge is the difference between the storm-driven water level and the normal astronomical tide, and it is the deadliest hazard of most landfalling hurricanes, capable of flooding low-lying coasts kilometers inland. The operational tradition began with Jelesnianski and colleagues' SLOSH model, documented in the 1992 NOAA technical report, which the National Weather Service still uses for real-time forecasting and evacuation planning. High-resolution research and design work increasingly uses the unstructured-grid ADCIRC model, whose application to southern Louisiana by Westerink, Luettich, and colleagues in 2008 set the standard for basin-to-channel-scale surge simulation. The defining challenges are representing the hurricane wind field accurately and resolving the complex coastal geometry — channels, marshes, and levees — that steers the water. The output is a time-evolving map of water level and overland inundation.

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Quellen

  1. Westerink, J. J., Luettich, R. A., Feyen, J. C., Atkinson, J. H., Dawson, C., Roberts, H. J., Powell, M. D., Dunion, J. P., Kubatko, E. J., & Pourtaheri, H. (2008). A Basin- to Channel-Scale Unstructured Grid Hurricane Storm Surge Model Applied to Southern Louisiana. Monthly Weather Review, 136(3), 833-864. DOI: 10.1175/2007MWR1946.1
  2. Jelesnianski, C. P., Chen, J., & Shaffer, W. A. (1992). SLOSH: Sea, Lake, and Overland Surges from Hurricanes. NOAA Technical Report NWS 48. Silver Spring, MD: National Weather Service. link

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ScholarGate. (2026, June 23). Storm Surge Modeling. ScholarGate. https://scholargate.app/de/disaster-studies/storm-surge-modeling

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ScholarGateStorm Surge Modeling (Storm Surge Modeling). Abgerufen am 2026-06-24 von https://scholargate.app/de/disaster-studies/storm-surge-modeling · Datensatz: https://doi.org/10.5281/zenodo.20539026