The Influence of Storm Size on Hurricane Surge

Jennifer L. Irish Zachry Department of Civil Engineering, Texas A&M University, College Station, Texas

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Donald T. Resio Coastal and Hydraulics Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, Mississippi

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Jay J. Ratcliff New Orleans District, U.S. Army Corps of Engineers, New Orleans, Louisiana

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Abstract

Over the last quarter-century, hurricane surge has been assumed to be primarily a function of maximum storm wind speed, as might be estimated from the Saffir–Simpson hurricane scale. However, Hurricane Katrina demonstrated that wind speed alone cannot reliably describe surge. Herein it is shown that storm size plays an important role in surge generation, particularly for very intense storms making landfall in mildly sloping regions. Prior to Hurricane Katrina, analysis of the historical hurricane record evidenced no clear correlation between surge and storm size, and consequently little attention was given to the role of size in surge generation. In contrast, it is found herein that, for a given intensity, surge varies by as much as 30% over a reasonable range of storm sizes. These findings demonstrate that storm size must be considered when estimating surge, particularly when predicting socioeconomic and flood risk.

Corresponding author address: Jennifer L. Irish, Zachry Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843. Email: jirish@civil.tamu.edu

Abstract

Over the last quarter-century, hurricane surge has been assumed to be primarily a function of maximum storm wind speed, as might be estimated from the Saffir–Simpson hurricane scale. However, Hurricane Katrina demonstrated that wind speed alone cannot reliably describe surge. Herein it is shown that storm size plays an important role in surge generation, particularly for very intense storms making landfall in mildly sloping regions. Prior to Hurricane Katrina, analysis of the historical hurricane record evidenced no clear correlation between surge and storm size, and consequently little attention was given to the role of size in surge generation. In contrast, it is found herein that, for a given intensity, surge varies by as much as 30% over a reasonable range of storm sizes. These findings demonstrate that storm size must be considered when estimating surge, particularly when predicting socioeconomic and flood risk.

Corresponding author address: Jennifer L. Irish, Zachry Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843. Email: jirish@civil.tamu.edu

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  • Berke, P., T. Larsen, and C. Ruch, 1984: A computer system for hurricane hazard assessment. Comput. Environ. Urban Syst., 9 , 259269.

  • Blain, C. A., J. J. Westerink, and R. A. Luettich Jr., 1998: Grid convergence studies for the prediction of hurricane storm surge. Int. J. Numer. Methods Fluids, 26 , 369401.

    • Search Google Scholar
    • Export Citation
  • Blake, E. S., E. N. Rappaport, J. D. Jarrell, and C. W. Landsea, 2006: The deadliest, costliest, and most intense United States tropical cyclones from 1851 to 2005 (and other frequently requested hurricane facts). NOAA Tech. Memo. NWS TPC-4, 48 pp.

  • Conner, W. C., R. H. Kraft, and D. L. Harris, 1957: Empirical methods for forecasting the maximum storm tide due to hurricanes and other tropical storms. Mon. Wea. Rev., 85 , 113116.

    • Search Google Scholar
    • Export Citation
  • Davis, R. E., and R. Dolan, 1993: Nor’easters. Amer. Sci., 81 , 428439.

  • Dean, R. G., and C. J. Bender, 2006: Static wave setup with emphasis on damping effects by vegetation and bottom friction. Coastal Eng., 53 , 149156.

    • Search Google Scholar
    • Export Citation
  • Dolan, R., and R. E. Davis, 1992: An intensity scale for Atlantic Coast northeast storms. J. Coastal Res., 8 , 840853.

  • Harris, D. L., 1959: An interim hurricane storm surge forecasting guide. U.S. Weather Bureau Rep. 32, 24 pp.

  • Harris, D. L., 1963: Characteristics of the hurricane storm surge. U.S. Weather Bureau Tech. Paper 48, 139 pp.

  • Ho, F. P., and J. F. Miller, 1982: Pertinent meteorological and hurricane tide data for Hurricane Carla. NOAA Tech. Rep. NWS 32, 111 pp.

  • Holland, G. J., 1980: An analytic model of the wind and pressure profiles in hurricanes. Mon. Wea. Rev., 108 , 12121218.

  • Hoover, R. A., 1957: Empirical relationships of the central pressure in hurricanes to the maximum surge and storm tide. Mon. Wea. Rev., 85 , 167174.

    • Search Google Scholar
    • Export Citation
  • Jelesnianski, C. P., 1972: SPLASH (Special Program to List Amplitudes of Surges from Hurricanes): I. Landfall storms. NOAA Tech. Memo. NWS TDL-46, 52 pp.

  • Jelesnianski, C. P., 1984: SLOSH—A hurricane storm surge forecasting model. Preprints, Oceans ’84 Conf., Washington, D.C., Marine Technology Society and IEEE/Oceanic Engineering Society, 314–317.

  • Jelesnianski, C. P., 1990: Storm surge modeling in the United States. NIST-SP-796, 66–76.

  • Knabb, R. D., D. P. Brown, and J. R. Rhome, 2006: Tropical cyclone report: Hurricane Rita 18-26 September 2005. National Hurricane Center Rep., 33 pp.

  • Lawrence, M. B., and T. B. Kinberlain, 2001: Preliminary report: Hurricane Bret 18-25 August 1999. National Hurricane Center Rep., 10 pp.

  • Luettich, R. A., J. J. Westerink, and N. W. Scheffner, 1992: Modeling 3-D circulation using computations for the western North Atlantic and Gulf of Mexico. Estuarine and Coastal Modeling II, M. Spaulding, Ed., ASCE, 632–643.

    • Search Google Scholar
    • Export Citation
  • National Oceanic and Atmospheric Administration, 2005: Hurricane Dennis storm tide summary. NOAA Rep., 14 pp.

  • National Weather Service, cited. 1993: Memorable Gulf coast hurricanes of the 20th century. [Available online at http://www.aoml.noaa.gov/general/lib/mgch.html.].

  • National Weather Service, cited. 2000: Hurricane history. [Available online at http://www.srh.noaa.gov/crp/docs/research/hurrhistory/.].

  • National Weather Service, cited. 2005: Powerful Hurricane Ivan slams the US central Gulf coast as an upper category-3 storm. [Available online at http://www.srh.noaa.gov/mob/ivan_age/.].

  • National Weather Service, cited. 2006: The Saffir–Simpson hurrican scale. [Available online at http://www.nhc.noaa.gov/aboutsshs.shtml.].

  • Neumann, C. J., B. R. Jarvinen, C. J. McAdie, and J. D. Elms, 1999: Tropical cyclones of the North Atlantic Ocean, 1871–1998. NOAA Historical Climatology Series 6-2, 43 pp.

  • Norman, J., 2006: Katrina’s dead. Sun Herald, 17 February 2006 A1, A8–9.

  • Pasch, R. J., E. S. Blake, H. D. Cobb III, and D. P. Roberts, 2006: Tropical cyclone report Hurricane Wilma 15-25 October 2005. National Hurricane Center Rep., 27 pp.

  • Powell, M. D., and T. A. Reinhold, 2007: Tropical cyclone destructive potential by integrated kinetic energy. Bull. Amer. Meteor. Soc., 88 , 513526.

    • Search Google Scholar
    • Export Citation
  • Powell, M. D., P. J. Vickery, and T. A. Reinhold, 2003: Reduced drag coefficient for high wind speeds in tropical cyclones. Nature, 422 , 279283.

    • Search Google Scholar
    • Export Citation
  • Russo, E., 1998: Estimating hurricane storm surge amplitudes for the Gulf of Mexico and Atlantic coastlines of the United States. Proc. Oceans’98, Vol. 3, Nice, France, IEEE, 1301–1305.

    • Search Google Scholar
    • Export Citation
  • Signorini, S. R., J. S. Wei, and C. D. Miller, 1992: Hurricane-induced surge and currents on the Texas–Louisiana shelf. J. Geophys. Res., 97 , C2. 22292242.

    • Search Google Scholar
    • Export Citation
  • Simpson, R. H., 1974: The hurricane disaster-potential scale. Weatherwise, 27 , 169186.

  • Taylor, R. B., 1980: Simplified methods for prediction of hurricane surge and wave runup. Mar. Technol. Soc. J., 14 , 3. 2026.

  • Thompson, E. F., and V. J. Cardone, 1996: Practical modeling of hurricane surface wind fields. J. Waterw. Port Coastal ASCE, 122 , 4. 195205.

    • Search Google Scholar
    • Export Citation
  • Tonkin, H., G. J. Holland, N. Holbrook, and A. Herderson-Sellers, 2000: An evaluation of thermodynamic estimates of climatological maximum potential tropical cyclone intensity. Mon. Wea. Rev., 135 , 746762.

    • Search Google Scholar
    • Export Citation
  • U.S. Army Corps of Engineers, 1968: Report on Hurricane Beulah 8-21 September 1967. Galveston District Rep., 143 pp.

  • U.S. Army Corps of Engineers, 1981: Hurricane Frederic post disaster report. Mobile District Rep., 6 pp.

  • U.S. Army Corps of Engineers, 1995: Hurricane Opal storm surge and wave runup. Mobile District Memo., 22 pp.

  • U.S. Army Corps of Engineers, 2006a: Performance evaluation of the New Orleans and southeast Louisiana hurricane protection system. Interagency Performance Evaluation Task Force, Draft Final Rep., 259 pp.

  • U.S. Army Corps of Engineers, 2006b: Appendix B: History of hurricane occurrences. Louisiana Coastal Protection and Restoration (LACPR) Preliminary Tech. Rep., New Orleans District Rep., 40 pp.

  • Vickery, P. J., P. F. Skerlj, A. C. Steckley, and L. A. Twisdale, 2000: Hurricane wind field model for use in hurricane simulations. J. Struc. Eng. ASCE, 126 , 12031222.

    • Search Google Scholar
    • Export Citation
  • Weisberg, R. H., and L. Zheng, 2006: Hurricane storm surge simulations for Tampa Bay. Estuaries Coasts, 29 , 6A. 899913.

  • Westerink, J. J., R. A. Luettich, A. M. Baptista, N. W. Scheffner, and P. Farrar, 1992: Tide and storm surge predictions using finite element model. J. Hydraul. Eng. ASCE, 118 , 3731390.

    • Search Google Scholar
    • Export Citation
  • Westerink, J. J., and Coauthors, 2008: A basin- to channel-scale unstructured grid hurricane storm surge model as implemented for southern Louisiana. Mon. Wea. Rev., 136 , 833864.

    • Search Google Scholar
    • Export Citation
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