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Thinking outside the polygon: a study of tornado warning perception outside of warning polygon bounds

Author

Listed:
  • Makenzie J. Krocak

    (University of Oklahoma
    National Institute for Risk and Resilience
    National Weather Center
    National Weather Center)

  • Sean Ernst

    (University of Oklahoma
    National Institute for Risk and Resilience)

  • Jinan N. Allan

    (University of Oklahoma
    National Institute for Risk and Resilience)

  • Wesley Wehde

    (University of Oklahoma
    National Institute for Risk and Resilience)

  • Joseph T. Ripberger

    (University of Oklahoma
    National Institute for Risk and Resilience)

  • Carol L. Silva

    (University of Oklahoma
    National Institute for Risk and Resilience)

  • Hank C. Jenkins-Smith

    (University of Oklahoma
    National Institute for Risk and Resilience)

Abstract

When the National Weather Service (NWS) issues a tornado warning, the alert is rapidly and widely disseminated to individuals in the general area of the warning. Historically, the assumption has been that a false-negative warning perception (i.e., when someone located within a warning polygon does not believe they have received a tornado warning) carries a higher cost than a false-positive warning perception (i.e., when someone located outside the warning area believes they have received a warning). While many studies investigate tornado warning false alarms (i.e., when the NWS issues a tornado warning, but a tornado does not actually occur), less work focuses on studying individuals outside of the warning polygon bounds who believe they received a warning (i.e., false-positive perceptions). This work attempts to quantify the occurrence of false-positive perceptions and possible factors associated with the rate of occurrence. Following two separate storm events, Oklahomans were asked whether they perceived a tornado warning. Their geolocated responses were then compared to issued warning polygons. Individuals closer to tornado warnings or within a different type of warning (e.g., a severe thunderstorm warning) are more likely to report a false-positive perception than those farther away or outside of other hazard warnings. Further work is needed to understand the rate of false-positive perceptions across different hazards and how this may influence warning response and trust in the National Weather Service.

Suggested Citation

  • Makenzie J. Krocak & Sean Ernst & Jinan N. Allan & Wesley Wehde & Joseph T. Ripberger & Carol L. Silva & Hank C. Jenkins-Smith, 2020. "Thinking outside the polygon: a study of tornado warning perception outside of warning polygon bounds," 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. 102(3), pages 1351-1368, July.
  • Handle: RePEc:spr:nathaz:v:102:y:2020:i:3:d:10.1007_s11069-020-03970-5
    DOI: 10.1007/s11069-020-03970-5
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    References listed on IDEAS

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    1. Ihnji Jon & Shih‐Kai Huang & Michael K. Lindell, 2019. "Perceptions and Expected Immediate Reactions to Severe Storm Displays," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 274-290, January.
    2. Wesley Wehde & Jason M. Pudlo & Scott E. Robinson, 2019. "“Is There Anybody Out There?”: Communication of Natural Hazard Warnings at Home and Away," Social Science Quarterly, Southwestern Social Science Association, vol. 100(7), pages 2607-2624, December.
    3. Michael Lindell & Shih-Kai Huang & Hung-Lung Wei & Charles Samuelson, 2016. "Perceptions and expected immediate reactions to tornado warning polygons," 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. 80(1), pages 683-707, January.
    4. Joseph T. Ripberger & Carol L. Silva & Hank C. Jenkins‐Smith & Deven E. Carlson & Mark James & Kerry G. Herron, 2015. "False Alarms and Missed Events: The Impact and Origins of Perceived Inaccuracy in Tornado Warning Systems," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 44-56, January.
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