NWS Tornado Warnings with Zero or Negative Lead Times

J. Brotzge Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, Oklahoma

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S. Erickson NOAA/National Severe Storms Laboratory, Norman, Oklahoma

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Abstract

During a 5-yr period of study from 2000 to 2004, slightly more than 10% of all National Weather Service (NWS) tornado warnings were issued either simultaneously as the tornado formed (i.e., with zero lead time) or minutes after initial tornado formation but prior to tornado dissipation (i.e., with “negative” lead time). This study examines why these tornadoes were not warned in advance, and what climate, storm morphology, and sociological factors may have played a role in delaying the issuance of the warning. This dataset of zero and negative lead time warnings are sorted by their F-scale ratings, geographically by region and weather forecast office (WFO), hour of the day, month of the year, tornado-to-radar distance, county population density, and number of tornadoes by day, hour, and order of occurrence. Two key results from this study are (i) providing advance warning on the first tornado of the day remains a difficult challenge and (ii) the more isolated the tornado event, the less likelihood that an advance warning is provided. WFOs that experience many large-scale outbreaks have a lower proportion of warnings with negative lead time than WFOs that experience many more isolated, one-tornado or two-tornado warning days. Monthly and geographic trends in lead time are directly impacted by the number of multiple tornado events. Except for a few isolated cases, the impacts of tornado-to-radar distance, county population density, and storm morphology did not have a significant impact on negative lead-time warnings.

Corresponding author address: Jerald Brotzge, University of Oklahoma, 120 David L. Boren Blvd., Suite 2500, Norman, OK 73072-7309. Email: jbrotzge@ou.edu

Abstract

During a 5-yr period of study from 2000 to 2004, slightly more than 10% of all National Weather Service (NWS) tornado warnings were issued either simultaneously as the tornado formed (i.e., with zero lead time) or minutes after initial tornado formation but prior to tornado dissipation (i.e., with “negative” lead time). This study examines why these tornadoes were not warned in advance, and what climate, storm morphology, and sociological factors may have played a role in delaying the issuance of the warning. This dataset of zero and negative lead time warnings are sorted by their F-scale ratings, geographically by region and weather forecast office (WFO), hour of the day, month of the year, tornado-to-radar distance, county population density, and number of tornadoes by day, hour, and order of occurrence. Two key results from this study are (i) providing advance warning on the first tornado of the day remains a difficult challenge and (ii) the more isolated the tornado event, the less likelihood that an advance warning is provided. WFOs that experience many large-scale outbreaks have a lower proportion of warnings with negative lead time than WFOs that experience many more isolated, one-tornado or two-tornado warning days. Monthly and geographic trends in lead time are directly impacted by the number of multiple tornado events. Except for a few isolated cases, the impacts of tornado-to-radar distance, county population density, and storm morphology did not have a significant impact on negative lead-time warnings.

Corresponding author address: Jerald Brotzge, University of Oklahoma, 120 David L. Boren Blvd., Suite 2500, Norman, OK 73072-7309. Email: jbrotzge@ou.edu

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  • Andra, D. L., Quoetone E. M. , and Bunting W. F. , 2002: Warning decision making: The relative roles of conceptual models, technology, strategy, and forecaster expertise in 3 May 1999. Wea. Forecasting, 17 , 559566.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bieringer, P., and Ray P. S. , 1996: A comparison of tornado warning lead times with and without NEXRAD Doppler radar. Wea. Forecasting, 11 , 4752.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Crum, T. D., and Alberty R. L. , 1993: The WSR-88D and the WSR-88D Operational Support Facility. Bull. Amer. Meteor. Soc., 74 , 16691687.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Erickson, S., and Brooks H. , 2006: Lead time and time under tornado warnings: 1986–2004. Preprints, 23rd Conf. on Severe Local Storms, Atlanta, GA, Amer. Meteor. Soc., 11.5. [Available online at http://ams.confex.com/ams/23SLS/techprogram/paper_115194.htm.].

    • Search Google Scholar
    • Export Citation
  • Friday E. W. Jr., , 1994: The modernization and associated restructuring of the National Weather Service: An overview. Bull. Amer. Meteor. Soc., 75 , 4352.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gallus W. A. Jr., , Snook N. , and Johnson E. V. , 2008: Spring and summer severe weather reports over the Midwest as a function of convective mode: A preliminary study. Wea. Forecasting, 23 , 101113.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Guillot, E., Lakshmanan V. , Smith T. , Stumpf G. , Burgess D. , and Elmore K. , 2008: Tornado and severe thunderstorm warning forecast skill and its relationship to storm type. Preprints, 24th Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, New Orleans, LA, Amer. Meteor. Soc., 4A.3. [Available online at http://ams.confex.com/ams/pdfpapers/132244.pdf.].

    • Search Google Scholar
    • Export Citation
  • Magsig, M. A., Decker T. , and Said N. M. , 2006: Builds five and six of NOAA’s NWS weather event simulator. Preprints, 22nd Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., P7.7. [Available online at http://ams.confex.com/ams/pdfpapers/104624.pdf.].

    • Search Google Scholar
    • Export Citation
  • Mitchell, E. D., Vasiloff S. V. , Stumpf G. J. , Witt A. , Eilts M. P. , Johnson J. T. , and Thomas K. W. , 1998: The National Severe Storms Laboratory tornado detection algorithm. Wea. Forecasting, 13 , 352366.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • NWS, cited. 2007: NOAA’s NWS national performance measures FY 2006–FY National Weather Service. [Available online at http://www.nws.noaa.gov/com/files/All_GPRA2006.ppt.].

    • Search Google Scholar
    • Export Citation
  • Parker, S. S., and Waldron H. , 2002: Dramatically improving warning services—One office’s experience. Preprints, 21st Conf. on Severe Local Storms, San Antonio, TX, Amer. Meteor. Soc., P9.5. [Available online at http://ams.confex.com/ams/pdfpapers/46785.pdf.].

    • Search Google Scholar
    • Export Citation
  • Rasmussen, E. N., Straka J. , Davies-Jones R. , Doswell C. III, Carr F. , Eilts M. , and MacGorman D. , 1994: The Verification of the Origins of Rotation in Tornadoes Experiment: VORTEX. Bull. Amer. Meteor. Soc., 75 , 9971006.

    • Search Google Scholar
    • Export Citation
  • Ray, P., Bieringer P. , Niu X. , and Whissel B. , 2003: An improved estimate of tornado occurrence. Mon. Wea. Rev., 131 , 10261031.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Seguin, W., 2002: AWIPS—An end-to-end look. Preprints, Interactive Symp. on the Advanced Weather Interactive Processing System (AWIPS), Orlando, FL, Amer. Meteor. Soc., 147–150.

    • Search Google Scholar
    • Export Citation
  • Simmons, K. M., and Sutter D. , 2005: WSR-88D radar, tornado warnings, and tornado casualties. Wea. Forecasting, 20 , 301310.

  • Stumpf, G. J., Witt A. , Mitchell E. D. , Spenser P. L. , Johnson J. T. , Eilts M. D. , Thomas K. W. , and Burgess D. W. , 1998: The National Severe Storms Laboratory mesocyclone detection algorithm for the WSR-88D. Wea. Forecasting, 13 , 304326.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Trapp, R. J., Mitchell E. D. , Tipton G. A. , Effertz D. W. , Watson A. I. , Andra D. L. , and Magsig M. A. , 1999: Descending and nondescending tornadic vortex signatures detected by WSR-88Ds. Wea. Forecasting, 14 , 625639.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Waldstreicher, J. S., 2005: Assessing the impact of collaborative research projects on NWS warning performance. Bull. Amer. Meteor. Soc., 86 , 193203.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wolf, P. L., 2002: Toward better warning decision-making and verification statistics: Improvements at the Wichita National Weather Service office. Preprints, 21st Conf. on Severe Local Storms, San Antonio, TX, Amer. Meteor. Soc., 10B.4. [Available online at http://ams.confex.com/ams/SLS_WAF_NWP/techprogram/paper_46960.htm.].

    • Search Google Scholar
    • Export Citation
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