Storm Surge and “Certain Death”: Interviews with Texas Coastal Residents following Hurricane Ike

Rebecca E. Morss National Center for Atmospheric Research, * Boulder, Colorado

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Mary H. Hayden National Center for Atmospheric Research, * Boulder, Colorado

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Abstract

Hurricane Ike made landfall near Galveston, Texas, on 13 September 2008 as a large category 2 storm that generated significant storm surge and flooding. This article presents findings from an empirical case study of Texas coastal residents’ perceptions of hurricane risk, protective decision making, and opinions of hurricane forecasts related to Hurricane Ike. The results are based on data from interviews with 49 residents affected by Hurricane Ike, conducted approximately five weeks after landfall. While most interviewees were aware that Ike was potentially dangerous, many were surprised by how much coastal flooding the hurricane caused and the resulting damage. For many—even long-time residents—Ike was a learning experience. As the hurricane approached, interviewees and their households made complex, evolving preparation and evacuation decisions. Although evacuation orders were an important consideration for some interviewees, many obtained information about Ike frequently from multiple sources to evaluate their own risk and make protective decisions. Given the storm surge and damage Ike caused, a number of interviewees believed that Ike’s classification on the Saffir–Simpson scale did not adequately communicate the risk Ike posed. The “certain death” statement issued by the National Weather Service helped convince several interviewees to evacuate. However, others had strong negative opinions of the statement that may negatively influence their interpretation of and response to future warnings. As these findings indicate, empirical studies of how intended audiences obtain, interpret, and use hurricane forecasts and warnings provide valuable knowledge that can help design more effective ways to convey hurricane risk.

Corresponding author address: Rebecca E. Morss, NCAR, P.O. Box 3000, Boulder, CO 80307-3000. Email: morss@ucar.edu

Abstract

Hurricane Ike made landfall near Galveston, Texas, on 13 September 2008 as a large category 2 storm that generated significant storm surge and flooding. This article presents findings from an empirical case study of Texas coastal residents’ perceptions of hurricane risk, protective decision making, and opinions of hurricane forecasts related to Hurricane Ike. The results are based on data from interviews with 49 residents affected by Hurricane Ike, conducted approximately five weeks after landfall. While most interviewees were aware that Ike was potentially dangerous, many were surprised by how much coastal flooding the hurricane caused and the resulting damage. For many—even long-time residents—Ike was a learning experience. As the hurricane approached, interviewees and their households made complex, evolving preparation and evacuation decisions. Although evacuation orders were an important consideration for some interviewees, many obtained information about Ike frequently from multiple sources to evaluate their own risk and make protective decisions. Given the storm surge and damage Ike caused, a number of interviewees believed that Ike’s classification on the Saffir–Simpson scale did not adequately communicate the risk Ike posed. The “certain death” statement issued by the National Weather Service helped convince several interviewees to evacuate. However, others had strong negative opinions of the statement that may negatively influence their interpretation of and response to future warnings. As these findings indicate, empirical studies of how intended audiences obtain, interpret, and use hurricane forecasts and warnings provide valuable knowledge that can help design more effective ways to convey hurricane risk.

Corresponding author address: Rebecca E. Morss, NCAR, P.O. Box 3000, Boulder, CO 80307-3000. Email: morss@ucar.edu

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  • Arlikatti, S., Lindell M. K. , Prater C. S. , and Zhang Y. , 2006: Risk area accuracy and hurricane evacuation expectations of coastal residents. Environ. Behav., 38 , 226247.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Baker, E. J., 1979: Predicting response to hurricane warnings: A reanalysis of data from four studies. Mass Emerg., 4 , 924.

  • Baker, E. J., 1991: Evacuation behavior in hurricanes. Int. J. Mass Emerg. Disasters, 9 , 287310.

  • Baker, E. J., 1995: Public response to hurricane probability forecasts. Prof. Geogr., 47 , 137147.

  • Bateman, J. M., and Edwards B. , 2002: Gender and evacuation: A closer look at why women are more likely to evacuate for hurricanes. Nat. Hazards Rev., 3 , 107117.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Broad, K., Leiserowitz A. , Weinkle J. , and Steketee M. , 2007: Misinterpretations of the “cone of uncertainty” in Florida during the 2004 hurricane season. Bull. Amer. Meteor. Soc., 88 , 651667.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burns, K., 2008: Hurricane Gustav prompts responders to evacuate pets. J. Amer. Vet. Med. Assoc., 233 , 12011202.

  • Cutter, S. L., and Smith M. M. , 2009: Fleeing from the hurricane’s wrath: Evacuation and the two Americas. Environment, 51 , 2636.

  • Dash, N., and Gladwin H. , 2007: Evacuation decision making and behavioral responses: Individual and household. Nat. Hazards Rev., 8 , 6977.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dow, K., and Cutter S. L. , 1998: Crying wolf: Repeat responses to hurricane evacuation orders. Coast. Manage., 26 , 237252.

  • Dow, K., and Cutter S. L. , 2000: Public orders and personal opinions: Household strategies for hurricane risk assessment. Global Environ. Change, 2 , 143155.

    • Search Google Scholar
    • Export Citation
  • Dow, K., and Cutter S. L. , 2002: Emerging hurricane evacuation issues: Hurricane Floyd and South Carolina. Nat. Hazards Rev., 3 , 1218.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Driscoll, P., and Salwen M. B. , 1996: Riding out the storm: Public evaluations of news coverage of Hurricane Andrew. Int. J. Mass Emerg. Disasters, 14 , 293303.

    • Search Google Scholar
    • Export Citation
  • FEMA, cited. 2009a: Hurricane Ike impact report. [Available online at www.fema.gov/pdf/hazard/hurricane/2008/ike/impact_report.pdf].

  • FEMA, cited. 2009b: Texas receives more than $2 billion in disaster assistance since Hurricane Ike. [Available online at http://www.fema.gov/news/newsrelease.fema?id=48036].

    • Search Google Scholar
    • Export Citation
  • Franklin, J. L., 2009: 2008 National Hurricane Center forecast verification report. National Hurricane Center Rep., 71 pp. [Available online at http://www.nhc.noaa.gov/verification/pdfs/Verification_2008.pdf].

    • Search Google Scholar
    • Export Citation
  • Gladwin, C. H., Gladwin H. , and Peacock W. G. , 2001: Modeling hurricane evacuation decisions with ethnographic methods. Int. J. Mass Emerg. Disasters, 19 , 117143.

    • Search Google Scholar
    • Export Citation
  • Gladwin, H., and Peacock W. G. , 1997: Warning and evacuation: A night for hard houses. Hurricane Andrew: Ethnicity, Gender and the Sociology of Disasters, W. G. Peacock, B. H. Morrow, and H. Gladwin, Eds., Routledge, 52–73.

    • Search Google Scholar
    • Export Citation
  • Lindell, M. K., and Perry R. W. , 2004: Communicating Environmental Risk in Multiethnic Communities. Sage Publications, 272 pp.

  • Lindell, M. K., and Prater C. S. , 2007: Critical behavioral assumptions in evacuation time estimate analysis for private vehicles: Examples from hurricane research and planning. J. Urban Plann. Dev., 133 , 1829.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lindell, M. K., Prater C. S. , Sanderson W. G. Jr., Lee H. M. , Yang Z. , Mohite A. , and Hwang S. N. , 2001: Texas Gulf Coast residents’ expectations and intentions regarding hurricane evacuation. Texas A&M University Hazard Reduction and Recovery Center Rep., 28 pp.

    • Search Google Scholar
    • Export Citation
  • Lindell, M. K., Lu J-C. , and Prater C. S. , 2005: Household decision making and evacuation in response to Hurricane Lili. Nat. Hazards Rev., 6 , 171179.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lindell, M. K., Prater C. S. , and Peacock W. G. , 2007: Organizational communication and decision making for hurricane emergencies. Nat. Hazards Rev., 8 , 5060.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mileti, D. S., and O’Brien P. W. , 1992: Warnings during disaster: Normalizing communicated risk. Soc. Probl., 39 , 4057.

  • Morss, R. E., and Zhang F. , 2008: Linking meteorological education to reality: A prototype undergraduate research study of public response to Hurricane Rita forecasts. Bull. Amer. Meteor. Soc., 89 , 497504.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Morss, R. E., Demuth J. L. , and Lazo J. K. , 2008: Communicating uncertainty in weather forecasts: A survey of the U.S. public. Wea. Forecasting, 23 , 974991.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • NCDC, cited. 2009: State of the climate: Hurricanes and tropical storms 2008. [Available online at http://lwf.ncdc.noaa.gov/sotc/index.php?report=tropical-cyclones&year=2008].

    • Search Google Scholar
    • Export Citation
  • NHC, cited. 2009: The Saffir-Simpson hurricane wind scale (experimental). [Available online at http://www.nhc.noaa.gov/aboutsshs.shtml].

    • Search Google Scholar
    • Export Citation
  • NOAA, 2009: Tropical cyclone report: Hurricane Ike. National Hurricane Center Rep., 55 pp. [Available online at http://www.nhc.noaa.gov/2008atlan.shtml].

    • Search Google Scholar
    • Export Citation
  • NRC, 2006: Completing the Forecast: Characterizing and Communicating Uncertainty for Better Decisions Using Weather and Climate Forecasts. National Academies Press, 124 pp.

    • Search Google Scholar
    • Export Citation
  • Parker, D., Tapsell S. , and McCarthy S. , 2007: Enhancing the human benefits of flood warnings. Nat. Hazards, 43 , 397414.

  • Peacock, W. G., Brody S. D. , and Highfield W. , 2005: Hurricane risk perceptions among Florida’s single family homeowners. Landscape Urban Plann., 73 , 120135.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Phillips, B. D., and Morrow B. H. , 2007: Social science research needs: Focus on vulnerable populations, forecasting, and warnings. Nat. Hazards Rev., 8 , 6168.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pielke R. A. Jr., , Gratz J. , Landsea C. W. , Collins D. , Saunders M. A. , and Musulin R. , 2008: Normalized Hurricane Damage in the United States: 1900–2005. Nat. Hazards Rev., 9 , 2942.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Riad, J. K., Norris F. N. , and Ruback R. B. , 1999: Predicting evacuation in two major disasters: Risk perception, social influence, and access to resources. J. Appl. Soc. Psychol., 29 , 918934.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sherman-Morris, K., 2005: Tornadoes, television and trust – A closer look at the influence of the weathercaster during severe weather. Environ. Hazards, 6 , 201210.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Simpson, R. H., and Saffir H. , 1974: The hurricane disaster-potential scale. Weatherwise, 27 , 186.

  • Sorensen, J. H., 2000: Hazard warning systems: Review of 20 years of progress. Nat. Hazards Rev., 1 , 119125.

  • Willoughby, H. E., Rappaport E. N. , and Marks F. D. , 2007: Hurricane forecasting: The state of the art. Nat. Hazards Rev., 8 , 4549.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, F., and Coauthors, 2007: An in-person survey investigating public perceptions of and response to Hurricane Rita forecasts along the Texas Coast. Wea. Forecasting, 22 , 11771190.

    • Crossref
    • Search Google Scholar
    • Export Citation
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