Subtropical/polar jet influence on Plains and Southeast tornado outbreaks

  • Robert T. Kelnosky
  • Gregory J. Tripoli
  • Jonathan E. Martin
Original Paper
  • 12 Downloads

Abstract

While extensive research consideration has been given to the Northern Hemispheric polar (PJ) and subtropical jet (STJ) streams, there have been fewer climatological studies relating these two jet types to tornado outbreaks. This study examines tornado outbreaks in two regions with substantial tornado risk, Plains Tornado Alley (PTA) and Southeast Tornado Alley (STA), and classifies the jet streak types associated with the outbreaks. Utilizing the Storm Prediction Center (SPC) tornado database and an objective jet identification scheme created from NCEP/NCAR Reanalysis 1 data, jet streaks were identified as STJ, PJ, merged (identified as STJ and PJ), superposed, or unidentified for a 30-year period between 1984 and 2013. Tornado outbreaks were categorized into different types based on these jet streak types. Results revealed STJ and PJ tornado outbreaks compose the majority of tornado outbreaks, as well as the most intense outbreaks, in both PTA and STA. STJ tornado outbreaks were found to be more common in PTA than in STA, while PJ outbreaks were more common in STA than in PTA. The study concludes by considering how a coupled jet structure may be important for tornado outbreaks.

Keywords

Jet Tornado Climatology Southeast Plains 

Notes

Acknowledgements

This work was funded by the National Science Foundation under Grant AGS-1137137 and the Office of Naval Research under Grant N001410132. We would like to thank Luke Odell for his constructive feedback, as well as Zachary Handlos for his help with GEMPAK. In addition, we would like to thank four anonymous reviewers for their careful readings of the manuscript and their invaluable comments and suggestions.

Supplementary material

11069_2018_3306_MOESM1_ESM.xlsx (946 kb)
Online Resource 1 A chronological listing of all tornado outbreak cases from 1984 to 2013, and their associated statistical attributes. Times represent tornado touchdown times. Significant tornado production is the time between the first tornado touchdown and last tornado touchdown. Tornado numbers from the SPC tornado database represent a count of tornadoes during the year, and may be used as tornado identification number by year. (XLSX 946 kb)

References

  1. Ashley WS (2007) Spatial and temporal analysis of tornado fatalities in the United States: 1880–2005. Wea Forecast 22:1214–1228CrossRefGoogle Scholar
  2. Ashley WS, Krmenec AJ, Schwantes R (2008) Vulnerability due to nocturnal tornadoes. Wea Forecast 23:795–807CrossRefGoogle Scholar
  3. Beebe RG, Bates FC (1955) A mechanism for the release of convective instability. Mon Wea Rev 83:1–10CrossRefGoogle Scholar
  4. Bluestein HB, Thomas KW (1984) Diagnosis of a jet streak in the vicinity of a severe weather outbreak in the Texas Panhandle. Mon Wea Rev 112:2499–2520CrossRefGoogle Scholar
  5. Brooks HE, Doswell CA III, Kay MP (2003) Climatological estimates of local daily tornado probability for the United States. Wea Forecast 18:626–640CrossRefGoogle Scholar
  6. Christenson CE, Martin JE, Handlos ZJ (2017) A synoptic-climatology of Northern Hemisphere, cold season polar and subtropical jet superposition events. J Clim 29 (in press)Google Scholar
  7. Clark AJ, Schaffer CJ, Gallus WA Jr, Johnson-O’Mara K (2009) Climatology of storm reports relative to upper-level jet streaks. Wea Forecast 24:1032–1051CrossRefGoogle Scholar
  8. Concannon PR, Brooks HE, Doswell CA III (2000) Climatological risk of strong to violent tornadoes in the United States. Preprints, 2nd symposium on environmental applications, Long Beach, CA, Am Meteor Soc, pp 212–219Google Scholar
  9. Dixon PG, Mercer AE, Choi J, Allen JS (2011) Tornado risk analysis: is Dixie Alley an extension of Tornado Alley? Bull Am Meteor Soc 92:433–441CrossRefGoogle Scholar
  10. Doswell CA III, Burgess DW (1988) On some issues of United States tornado climatology. Mon Wea Rev 116:495–501CrossRefGoogle Scholar
  11. Doswell CA III, Edwards R, Thompson RL, Hart JA, Crosbie KC (2006) A simple and flexible method for ranking severe weather events. Wea Forecast 21:939–951CrossRefGoogle Scholar
  12. Edwards R, LaDue JG, Ferree JT, Scharfenberg K, Maier C, Coulbourne WL (2013) Tornado intensity estimation: past, present and future. Bull Am Meteor Soc 94:641–653CrossRefGoogle Scholar
  13. Fawbush EJ, Miller RC, Starrett LG (1951) An empirical method of forecasting tornado development. Bull Am Meteor Soc 32:1–9Google Scholar
  14. Forbes GS (2006) Meteorological aspects of high-impact tornado outbreaks. Preprints, Symposium on the Challenges of Severe Convective Storms, Atlanta, GA, Am Meteor Soc, P1.12. https://ams.confex.com/ams/pdfpapers/99383.pdf
  15. Furhmann CM, Konrad CE II, Kovach MM, McLeod JT, Schmitz WG, Dixon PG (2014) Ranking of tornado outbreaks across the United States and their climatological characteristics. Wea Forecast 29:684–701CrossRefGoogle Scholar
  16. Gagan JP, Gerard A, Gordon J (2010) A historical and statistical comparison of “Tornado Alley” to “Dixie Alley”. Natl Wea Dig 34(2):145–155Google Scholar
  17. Hakim GJ, Uccellini LW (1992) Diagnosing coupled jet-streak circulations for a northern plains snow band from the operational nested-grid model. Wea Forecast 7:26–48CrossRefGoogle Scholar
  18. Hales JE (1979) On the relationship of 250 mb positive vorticity advection and horizontal divergence to tornado and severe thunderstorm occurrence. Preprints, 11th Conference on severe local storms, Kansas City, MO, Am Meteor Soc, pp 28–31Google Scholar
  19. Johns RH, Doswell CA (1992) Severe local storms forecasting. Wea. Forecast 7:588–612CrossRefGoogle Scholar
  20. Kalnay E et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteor Soc 77:437–471CrossRefGoogle Scholar
  21. Kelly DL, Schaefer JT, McNulty RP, Doswell CA III, Abbey RF (1978) An augmented tornado climatology. Mon Wea Rev 106:1172–1183CrossRefGoogle Scholar
  22. Keyser D, Pecnick MJ (1985) Diagnosis of ageostrophic circulations in a two-dimensional primitive equation model of frontogenesis. J Atmos Sci 42:1283–1305CrossRefGoogle Scholar
  23. Koch P, Wernli H, Davies HC (2006) An event-based jet-stream climatology and typology. Int J Climatol 26:283–301CrossRefGoogle Scholar
  24. Lee JT, Galway JG (1956) Preliminary report on the relationship between the jet at the 200-mb level and tornado occurrence. Bull Am Meteor Soc 37:327–332Google Scholar
  25. Lee JT, Galway JG (1958) The jet chart. Bull Am Meteor Soc 39:217–223Google Scholar
  26. McNulty RP (1978) On upper tropospheric kinematics and severe weather occurrence. Mon Wea Rev 106:662–672CrossRefGoogle Scholar
  27. Moore JT, VanKnowe GE (1992) The effect of jet-streak curvature on kinematic fields. Mon Wea Rev 120:2429–2441CrossRefGoogle Scholar
  28. Palmén E, Newton CW (1969) Atmospheric circulation systems. Academic Press, LondonGoogle Scholar
  29. Reiter ER (1963) Jet stream meteorology. University of Chicago Press, Chicago, p 515Google Scholar
  30. Riehl H et al (1952) Forecasting in the Middle Latitudes. Am Meteor Soc Mono 5:80Google Scholar
  31. Rose SF, Hobbs PV, Locatelli JD, Stoelinga MT (2004) A 10-yr climatology relating the locations of reported tornadoes to the quadrants of upper-level jet streaks. Wea Forecast 19:301–309CrossRefGoogle Scholar
  32. Schaefer JT, Edwards R (1999) The SPC tornado/severe thunderstorm database. Preprints, 11th Conference on applied climatology, Dallas, TX, Am. Meteor. Soc., 6.11. https://ams.confex.com/ams/99annual/abstracts/1360.htm
  33. Schaefer JT, Kelly DL, Doswell CA, Galway JG, Williams RJ, McNulty RP, Lemon LR, Lambert BD (1980) Tornadoes, when, where, how often. Weatherwise 33:52–59CrossRefGoogle Scholar
  34. Storm Prediction Center (2015a) Severe Weather Database Files (1950–2014). http://www.spc.noaa.gov/wcm/#data. Accessed 8 Mar 2015
  35. Storm Prediction Center (2015b) SPC Online SeverePlot 3.0. http://www.spc.noaa.gov/climo/online/sp3/plot.php. Accessed 8 Mar 2015
  36. Thompson RL, Vescio MD (1998) The destruction potential index—A method for comparing tornado days. Preprints, 19th Conference on Severe Local Storms, Minneapolis, MN, Am Meteor Soc, pp 280–282Google Scholar
  37. Uccellini L, Johnson D (1979) The coupling of upper and lower tropospheric jet streaks and implications for the development of severe convective storms. Mon Wea Rev 107:682–703CrossRefGoogle Scholar
  38. Whitney LF (1977) Relationship of the subtropical jet stream to severe local storms. Mon Wea Rev 105:398–412CrossRefGoogle Scholar
  39. Winters AC, Martin JE (2014) The role of a polar/subtropical jet superposition in the May 2010 Nashville Flood. Wea Forecast 29:954–974CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Robert T. Kelnosky
    • 1
  • Gregory J. Tripoli
    • 1
  • Jonathan E. Martin
    • 1
  1. 1.Department of Atmospheric and Oceanic SciencesUniversity of Wisconsin-MadisonMadisonUSA

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