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Tropical cyclone wind field forcing for surge models: critical issues and sensitivities

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  • V. Cardone
  • A. Cox

Abstract

Several wind fields developed for Hurricane Katrina (2005) in the US Gulf of Mexico (GOM) are applied with the ADCIRC hydrodynamic model to explore the sensitivity of predictions of coastal surges to wind fields developed by alternative methods. The alternative model predictions are evaluated against water level measurements provided by gages at two coastal locations. It is found that all the post-event analyzed wind fields yield a range of predictions of only ±10% of the available peak surge measurements regardless of whether the wind fields are produced by dynamical boundary layer models, kinematic analysis methods or a blend. However, the richness of meteorological forcing data in the GOM is not typically matched in other basins affected by tropical cyclones and errors may be much larger where storm intensity and size parameters are estimated mainly from satellite data. The attributes and remaining critical deficiencies of current methods for surface wind specification in both data-rich and data-poor environments are reviewed. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • V. Cardone & A. Cox, 2009. "Tropical cyclone wind field forcing for surge models: critical issues and sensitivities," 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. 51(1), pages 29-47, October.
  • Handle: RePEc:spr:nathaz:v:51:y:2009:i:1:p:29-47
    DOI: 10.1007/s11069-009-9369-0
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    References listed on IDEAS

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    1. Mark D. Powell & Peter J. Vickery & Timothy A. Reinhold, 2003. "Reduced drag coefficient for high wind speeds in tropical cyclones," Nature, Nature, vol. 422(6929), pages 279-283, March.
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    1. Pulong Ma & Georgios Karagiannis & Bledar A. Konomi & Taylor G. Asher & Gabriel R. Toro & Andrew T. Cox, 2022. "Multifidelity computer model emulation with high‐dimensional output: An application to storm surge," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(4), pages 861-883, August.
    2. Kelin Hu & Qin Chen & Sytske Kimball, 2012. "Consistency in hurricane surface wind forecasting: an improved parametric model," 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. 61(3), pages 1029-1050, April.
    3. Zhaoqing Yang & Sourav Taraphdar & Taiping Wang & L. Ruby Leung & Molly Grear, 2016. "Uncertainty and feasibility of dynamical downscaling for modeling tropical cyclones for storm surge simulation," 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. 84(2), pages 1161-1184, November.
    4. Md Arifur Rahman & Yu Zhang & Lixin Lu & Saeed Moghimi & Kelin Hu & Ali Abdolali, 2023. "Relative accuracy of HWRF reanalysis and a parametric wind model during the landfall of Hurricane Florence and the impacts on storm surge simulations," 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. 116(1), pages 869-904, March.

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