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Comprehensive Analysis of Tornado Statistics in Comparison to Earthquakes: Intensity and Temporal Behaviour : Volume 20, Issue 1 (15/01/2013)

By Schielicke, L.

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Book Id: WPLBN0003989721
Format Type: PDF Article :
File Size: Pages 11
Reproduction Date: 2015

Title: Comprehensive Analysis of Tornado Statistics in Comparison to Earthquakes: Intensity and Temporal Behaviour : Volume 20, Issue 1 (15/01/2013)  
Author: Schielicke, L.
Volume: Vol. 20, Issue 1
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Névir, P., & Schielicke, L. (2013). Comprehensive Analysis of Tornado Statistics in Comparison to Earthquakes: Intensity and Temporal Behaviour : Volume 20, Issue 1 (15/01/2013). Retrieved from

Description: Freie Universität Berlin, Institut für Meteorologie, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany. Tornadoes and earthquakes are characterised by a high variability in their properties concerning intensity, geometric properties and temporal behaviour. Earthquakes are known for power-law behaviour in their intensity (Gutenberg–Richter law) and temporal statistics (e.g. Omori law and interevent waiting times). The observed similarity of high variability of these two phenomena motivated us to compare the statistical behaviour of tornadoes using seismological methods and quest for power-law behaviour. In general, the statistics of tornadoes show power-law behaviour partly coextensive with characteristic scales when the temporal resolution is high (10 to 60 min). These characteristic scales match with the typical diurnal behaviour of tornadoes, which is characterised by a maximum of tornado occurrences in the late afternoon hours. Furthermore, the distributions support the observation that tornadoes cluster in time. Finally, we shortly discuss a possible similar underlying structure composed of heterogeneous, coupled, interactive threshold oscillators that possibly explains the observed behaviour.

Comprehensive analysis of tornado statistics in comparison to earthquakes: intensity and temporal behaviour

Davis, P. M., Jackson, D. D., and Kagan, Y. Y.: The longer it has been since the last earthquake, the longer the expected time till the next?, Bull. Seism. Soc. Am., 79, 1439–1456, 1989.; Doswell III, C. A., Edwards, R., Thompson, R. L., Hart, J. A., and Crosbie, K. C.: A simple and flexible method for ranking severe weather events, Weather Forecast., 21, 939–951, 2006.; Doswell III, C. A., Brooks, H. E., and Dotzek, N.: On the implementation of the enhanced Fujita scale in the USA, Atmos. Res., 93, 554–563, 2009.; Dotzek, N., Grieser, J., and Brooks, H. E.: Statistical modeling of tornado intensity distributions, Atmos. Res., 67–68, 163–187, 2003.; Ben-Zion, Y.: Appendix 2, Key Formulas in Earthquake Seismology, in: International Handbook of Earthquake and Engineering Seismology, Part B, edited by: Lee, W. H., Kanamori, H., Jennings, P. C., and Kisslinger, C., Academic Press, 1857–1875, 2003.; Brooks, H. E.: On the Relationship of Tornado Path Length and Width to Intensity, Weather Forecast., 19, 310–319, 2004.; Brooks, H. E. and Doswell III, C. A.: Some aspects of the international climatology of tornadoes by damage classification, Atmos. Res., 56, 191–201, 2001.; Brooks, H. E., Doswell III, C. A., and Kay, M. P.: Climatological estimates of local daily tornado probability, Weather Forecast., 18, 626–640, 2003.; Chakraborti, A. and Patriarca, M.: Variational Principle for the Pareto Power Law, Phys. Rev. Lett., 103, 228701, doi:10.1103/PhysRevLett.103.228701, 2009.; Doswell III, C. A. and Bosart, L. F.: Extratropical synoptic-scale processes and severe convection, Meteorol. Monogr., 28, 27–70, 2001.; Doswell III, C. A., Brooks, H. E., and Maddox, R. A.: Flash flood forecasting: An ingredients-based methodology, Weather Forecast., 11, 560–581, 1996.; Dotzek, N., Kurgansky, M. V., Grieser, J., Feuerstein, B., and Névir, P.: Observational evidence for exponential tornado intensity distributions over specific kinetic energy, Geophys. Res. Lett., 32, L24813, doi:10.1029/2005GL024583, 2005.; Englehardt, J. D.: Scale invariance of incident size distributions in response to sizes of their causes, Risk Anal., 22, 369–381, 2002.; Feuerstein, B., Dotzek, N., and Grieser, J.: Assessing a tornado climatology from global tornado intensity distributions, J. Climate, 18, 585–596, 2005.; Fujita, T. T.: Proposed characterisation of tornadoes and hurricanes by area and intensity, SMRP research paper no. 91, University of Chicago, 42 pp., 1971.; Godano, C. and Pingue, F.: Is the seismic moment-frequency relation universal?, Geophys. J. Int., 142, 193–198, 2000.; Gutenberg, B. and Richter, C. F.: Earthquake magnitude, intensity and acceleration, Bull Seismol. Soc. Am., 46, 105–145, 1956.; Hainzl, S., Zöller, G., and Scherbaum, F: Earthquake clusters resulting from delayed rupture propagation in finite fault segments, J. Geophys. Res., 108, 2013, doi:10.1029/2001JB000610, 2003.; Herz, A. V. M. and Hopfield, J. J.: Earthquake cycles and neural reverberations: collective oscillations in systems with pulse-coupled threshold elements, Phys. Rev. Lett., 75, 1222–1225, 1995.; Hutton, K., Woessner, J., and Hauksson, E.: Earthquake Monitoring in Southern California for Seventy-Seven Years (1932–2008), Bull. Seismol. Soc. Am., 100, 423–446, 2010.; Kagan, Y. and Knopoff, L.: Statistical study of the occurrence of shallow earthquakes, Geophys. J. Astr. Soc., 55, 67–86, 1978.; Jones, L. M. and Molnar, P.: Some characteristics of foreshocks and their possible relationship to earthquake prediction and premonitory slip on faults, J. Geophys. Res., 84, 3596–3608, doi:10.1029/JB084iB07p03596, 1979.; Kurgansky, M. V.: The statistical distribution of intense moist-convective, spiral vortices in the atmos


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