Skip to main content
Log in

Multi-timescale exploration of teleconnection/tornado activity relationships in the Southeastern United States

  • Research
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Teleconnections like the El Niño/Southern Oscillation affect climate and weather conditions across the globe, including conditions that modulate tornado activity. Early studies of teleconnection/tornado activity relationships provided evidence of links between one teleconnection and tornado activity. Later attempts introduced multivariate approaches by analyzing bivariate distributions and integrating multiple teleconnections in statistical models to predict variability in tornado activity. However, little attention has been given to teleconnection interactions and the role of these interactions in modulating tornado activity. Here, we employ a data-driven, multiple logistic regression modelling approach to explore the interactions between the El Niño/Southern Oscillation, North Atlantic Oscillation, Artic Oscillation, and Pacific North American pattern and their ability to predict the odds of an active tornado period in the southeastern United States. We develop models at the annual, seasonal, and monthly scales and, in doing so, illustrate that the teleconnections and teleconnection interactions that best predict the odds of an active tornado period differ across timescales and that the relationships exhibit clear seasonality. We also show climate conditions associated with select interactions, like the ENSO-NAO interaction in spring, that help explain the elevated tornado activity, namely anomalously high near-surface air temperature and humidity steered by an anomalously strong subtropical high.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

Tornado data are obtained from https://www.spc.noaa.gov/wcm/. Teleconnection data are obtained from https://psl.noaa.gov/gcos_wgsp/Timeseries/Nino34/ and https://www.cpc.ncep.noaa.gov/products/precip/CWlink/daily_ao_index/teleconnections.shtml. Atmospheric composite plots were obtained from https://psl.noaa.gov/cgi-bin/data/composites/plot20thc.v2.pl. Datasets generated from these datasources are available upon request from the corresponding author.

References

  • Agee E, Larson J, Childs S, Marmo A (2016) Spatial redistribution of U.S. tornado activity between 1954 and 2013. J Appl Meteorol Climatol 55:1681–1697. https://doi.org/10.1175/JAMC-D-15-0342.1

    Article  Google Scholar 

  • Alexander MA, Bladé I, Newman M, Lanzante JR, Lau NC, Scott JD (2002) The atmospheric bridge: the influence of ENSO teleconnections on air–sea interaction over the global oceans. J Clim 15:2205–2231

    Article  Google Scholar 

  • Allen JT, Tippett MK, Sobel AH (2015) Influence of El Niño-Southern Oscillation on tornado and hail frequency in the United States. Nature Geosciences 8:278–283. https://doi.org/10.1038/ngeo2385

    Article  CAS  Google Scholar 

  • Ashley W (2007) Spatial and temporal analysis of tornado fatalities in the United States: 1880–2005. Weather Forecast 22:1214–1228. https://doi.org/10.1175/2007WAF2007004.1

    Article  Google Scholar 

  • Ashley WS, Strader SM (2016) Recipe for disaster: How the dynamic ingredients of risk and exposure are changing the tornado disaster landscape. Bull Am Meteor Soc 97:767–786

    Article  Google Scholar 

  • Barry RG, Carleton AM (2001) Synoptic and dynamic climatology. Routledge, London

  • Brooks HE, Doswell CA III (2002) Deaths in the 3 May 1999 Oklahoma City tornado from a historical perspective. Weather Forecast 17:354–361

    Article  Google Scholar 

  • Brown MC, Nowotarski CJ (2020) Southeastern U.S. tornado outbreak likelihood using daily climate indices. J Clim 33:3229–3252

    Article  Google Scholar 

  • Changnon SA (2009) Tornado losses in the United States. Nat Hazard Rev 10:145–150

    Article  Google Scholar 

  • Chaurasia A, Harel O (2012) Using AIC in multiple linear regression framework with multiply imputed data. Health Serv Outcomes Res Method 12:219–233

    Article  Google Scholar 

  • Childs SJ, Schumacher RS, Allen JT (2018) Cold-season tornadoes: climatological and meteorological insights. Weather Forecast 33:671–691

    Article  Google Scholar 

  • Coleman TA, Dixon PG (2014) An objective analysis of tornado risk in the United States. Weather Forecast 29:366–376

    Article  Google Scholar 

  • Cook AR, Leslie LM, Parsons DB, Schaefer JT (2017) The impact of El Niño-Southern Oscillation (ENSO) on winter and early spring US tornado outbreaks. J Appl Meteorol Climatol 56:2455–2478

    Article  Google Scholar 

  • Cutter SL, Boruff BJ, Shirley WL (2003) Social vulnerability to environmental hazards. Soc Sci Q 84:242–261

    Article  Google Scholar 

  • DeBoer TA (2019) Relationships between teleconnections and tornado activity in the southeastern United States. Thesis. Towson University

    Google Scholar 

  • Deser C (2000) On the teleconnectivity of the “Arctic Oscillation.” Geophys Res Lett 27:779–782

    Article  Google Scholar 

  • Dixon PG, Mercer AE, Choi J, Allen JS (2011) Tornado risk analysis: Is Dixie alley an extension of tornado alley? Bull Am Meteor Soc 92:433–441

    Article  Google Scholar 

  • Elsner JB, Jagger TH, Fricker T (2016) Statistical models for tornado climatology: Long and short-term views. PLoS ONE 11:e0166895

    Article  Google Scholar 

  • Elsner JB, Fricker T, Berry WD (2018) A model for US tornado a=casualties involving interaction between damage path estimates of population density and energy dissipation. J Appl Meteorol Climatol 57:2035–2046

    Article  Google Scholar 

  • Fricker T, Elsner J (2019) Unusually devastating tornadoes in the United States: 1995–2016. Ann Am Assoc Geogr 110:724–738. https://doi.org/10.1080/24694452.2019.1638753

    Article  Google Scholar 

  • Fricker T, Friesenhahn C (2022) Tornado fatalities in context: 1995–2018. Weather Clim Soc 14:81–93. https://doi.org/10.1175/WCAS-D-21-0028.1

    Article  Google Scholar 

  • Gaal R, Kinter JL III (2021) Soil moisture influence on the incidence of summer mesoscale convective systems in the U.S. Great Plains. Mon Weather Rev 149:3981–3994

    Article  Google Scholar 

  • Gensini VA, Brooks HE (2018) Spatial trends in United States tornado frequency. NPJ Clim Atmos Sci 1:38. https://doi.org/10.1038/s41612-018-0048-2

    Article  Google Scholar 

  • Gensini VA, Barrett BS, Allen JT, Gold D, Sirvatka P (2020) The extended-range tornado activity forecast (ERTAF) project. Bull Am Meteorol Soc 101:E700–E709

  • Gijben M, Dyson LL, Loots MT (2017) A statistical scheme to forecast the daily lightning threat over southern Africa using the Unified Model. Atmos Res 194:78–88

    Article  Google Scholar 

  • Gilford DM, Smith SR, Griffin ML, Arguez A (2013) Southeastern US daily temperature ranges associated with the El Niño-Southern Oscillation. J Appl Meteorol Climatol 52:2434–2449

    Article  Google Scholar 

  • Glickman TS, Walter Z (2000) Glossary of meteorology. Am Meteorol Soc. Boston

  • Gorsevski PV, Gessler PE, Foltz RB, Elliot WJ (2006) Spatial prediction of landslide hazard using logistic regression and ROC analysis. Trans GIS 10:395–415

    Article  Google Scholar 

  • Guo L, Wang K, Bluestein HB (2016) Variability of tornado occurrence over the continental United States since 1950. J Geophys Res: Atmos 121:6943–6953

    Article  Google Scholar 

  • Leathers DJ, Yarnal B, Palecki MA (1991) The Pacific/North American teleconnection pattern and United States climate. Part I: Regional temperature and precipitation associations. J Clim 4:517–528

    Article  Google Scholar 

  • Lepore C, Tippett MK, Allen JT (2017) ENSO-based probabilistic forecasts of March–May U.S. tornado and hail activity. Geophys Res Lett 44:9093–9101. https://doi.org/10.1002/2017GL074781

    Article  Google Scholar 

  • Marzban C, Schaefer JT (2001) The correlation between US tornadoes and Pacific sea surface temperatures. Mon Weather Rev 129:884–895

    Article  Google Scholar 

  • Moore TW (2018) Annual and seasonal tornado trends in the contiguous United States and its regions. Int J Climatol 38:1582–1594. https://doi.org/10.1002/joc.5285

    Article  Google Scholar 

  • Moore TW (2019) Seasonal frequency and spatial distribution of tornadoes in the United States and their relationships to the El Niño/Southern Oscillation. Ann Am Assoc Geogr 109:1033–1051. https://doi.org/10.1080/24694452.2018.1511412

    Article  Google Scholar 

  • Moore TW, DeBoer TA (2019) A review and analysis of possible changes to the climatology of tornadoes in the United States. Prog Phys Geogr: Earth Environ 43:365–390. https://doi.org/10.1177/0309133319829398

    Article  Google Scholar 

  • Moore TW, St. Clair JM, DeBoer TA (2018) An analysis of anomalous winter and spring tornado frequency by phase of the El Nino/Southern Oscillation, the Global Wind Oscillation, and the Madden-Julian Oscillation. Adv Meteorol. https://doi.org/10.1155/2018/3612567

    Article  Google Scholar 

  • Munoz E, Enfield D (2011) The boreal spring variability of the Intra-Americas low-level jet and its relation with precipitation and tornadoes in the eastern United States. Clim Dyn 36:247–259

    Article  Google Scholar 

  • NOAA (2018a) Climate Weather Linkage: Teleconnections. https://www.cpc.ncep.noaa.gov/products/precip/CWlink/daily_ao_index/teleconnections.shtml. Accessed 4 Feb 2024

  • NOAA (2018b) Niño 3.4 SST Index. Earth System Research Laboratory. https://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/Nino34/. Accessed 4 Feb 2024

  • Nouri N, Devineni N, Were V, Khanbilvardi R (2021) Explaining the trends and variability in the United States tornado record using climate teleconnections and shifts in observational practices. Nat Sci Rep 11:1741. https://doi.org/10.1038/s41598-81143-5

    Article  CAS  Google Scholar 

  • Smith TM, Reynolds RW, Livezey RE, Stokes DC (1996) Reconstruction of historical sea surface temperatures using empirical orthogonal functions. J Clim 9:1403–1420

    Article  Google Scholar 

  • SPC (2018) Storm Prediction Center WCM Page. https://www.spc.noaa.gov/wcm/. Accessed 4 Feb 2024

  • Strader SM, Ashley WS, Pingel TJ, Krmenec AJ (2017) Observed and projected changes in United States tornado exposure. Weather Clim Soc 9:109–123

    Article  Google Scholar 

  • Ting M, Hoerling MP, Xu T, Kumar A (1996) Northern Hemisphere teleconnection patterns during extreme phases of the zonal-mean circulation. J Clim 9:2614–2633

    Article  Google Scholar 

  • Tippett MK, Lepore C, L’Heureux ML (2022) Predictability of a tornado environmental index from El Nino-Southern Oscillation (ENSO) and the Arctic Oscillation. Weather Clim Dynam 3:1063–1107. https://doi.org/10.5194/wcd-3-1063-2022

    Article  Google Scholar 

  • Thompson DW, Wallace JM (1998) The Arctic Oscillation signature in the wintertime geopotnetial heigh and temperature fields. Geophys Res Lett 25:1297–1300

  • Verbout SM, Brooks HE, Leslie LM, Schultz DM (2006) Evolution of the US tornado database: 1954–2003. Weather Forecast 21:86–93

    Article  Google Scholar 

Download references

Acknowledgements

Support for the 20th Century Reanalysis Project version 3 dataset is provided by the U.S. Department of Energy, Office of Science Biological and Environmental Research (BER), by the National Oceanic and Atmospheric Administration Climate Program Office, and by the NOAA Earth System Research Laboratory Physical Sciences Laboratory.

Funding

No funding was received by any author for this work.

Author information

Authors and Affiliations

Authors

Contributions

T.W.M, T.A.D, and T.F. conceived of the study and study design. T.W.M and T.A.D performed statistical analysis and generated figures and tables. T.W.M, T.A.D, and T.F reviewed and wrote portions of the manuscript.

Corresponding author

Correspondence to Todd W. Moore.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Moore, T.W., DeBoer, T.A. & Fricker, T. Multi-timescale exploration of teleconnection/tornado activity relationships in the Southeastern United States. Theor Appl Climatol (2024). https://doi.org/10.1007/s00704-024-04960-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00704-024-04960-4

Navigation