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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-12-8459-2012</article-id>
<title-group>
<article-title>Statistics of severe tornadoes and severe tornado outbreaks</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Malamud</surname>
<given-names>B. D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Turcotte</surname>
<given-names>D. L.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geography, King&apos;s College London, Strand, London, WC2R 2LS, UK</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Geology, University of California, Davis, CA 95616, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>09</month>
<year>2012</year>
</pub-date>
<volume>12</volume>
<issue>18</issue>
<fpage>8459</fpage>
<lpage>8473</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
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<abstract>
<p>The standard measures of the intensity of a tornado in the USA and many other
countries are the Fujita and Enhanced Fujita scales. These scales are based
on the damage that a tornado causes. Another measure of the strength of a
tornado is its path length of touchdown, &lt;i&gt;L&lt;/i&gt;. In this study we consider
severe tornadoes, which we define as &lt;i&gt;L&lt;/i&gt;≥10 km, in the continental
USA (USA Storm Prediction Center Severe Weather Database). We find that for
the period 1982–2011, for individual severe tornadoes (&lt;i&gt;L&lt;/i&gt;≥10 km):
(i) There is a strong linear scaling between the number of severe tornadoes
in a year and their total path length in that year. (ii) The cumulative
frequency path length data suggests that, not taking into account any
changing trends over time, we would expect in a given year (on average) one
severe tornado with a path length &lt;i&gt;L&lt;/i&gt;≥115 km and in a decade (on
average) one severe tornado with a path length &lt;i&gt;L&lt;/i&gt;&amp;ge;215 km. (iii) The
noncumulative frequency-length statistics of severe tornado touchdown path
lengths, 20&lt;&lt;i&gt;L&lt;/i&gt;&lt;200 km, is well approximated by an inverse power-law
relationship with exponent near 3. We then take the total path length of
severe tornadoes in a convective day (12:00–12:00 UTC), &lt;i&gt;L&lt;/i&gt;&lt;sub&gt;D&lt;/sub&gt;, as a
measure of the strength of a 24-h USA tornado outbreak. We find that:
(i) For 1982–2011, the number of severe
tornadoes in a USA convective day outbreak has a strong power-law
relationship (exponent 0.80) on the convective day total path length,
&lt;i&gt;L&lt;/i&gt;&lt;sub&gt;D&lt;/sub&gt;. (ii) For 1952–2011, the cumulative frequency path length data
for severe tornado outbreaks suggests that we would expect in a given year
(on average) one daily severe tornado outbreak with total path length
&lt;i&gt;L&lt;/i&gt;&lt;sub&gt;D&lt;/sub&gt;≥480 km and in a decade (on average) one daily severe
tornado outbreak with a total path length &lt;i&gt;L&lt;/i&gt;&lt;sub&gt;D&lt;/sub&gt;≥1200 km.
(iii) For 1982–2011, the noncumulative frequency-length statistics of
tornado outbreaks, 10&lt;&lt;i&gt;L&lt;/i&gt;&lt;sub&gt;D&lt;/sub&gt;&lt;1000 km d&lt;sup&gt;−1&lt;/sup&gt;, is well approximated
by an inverse power-law relationship with exponent near 1.8. Finally, we
consider the frequency path-length scaling of severe tornadoes
(&lt;i&gt;L&lt;/i&gt;≥10 km) during two tornado outbreaks, 27 April 2011 (67 severe
tornadoes) and 25 May 2011 (16 severe tornadoes), and find similar
statistical distributions with robust scaling. We believe that our robust
scaling results provide evidence that touchdown path lengths can be used as
quantitative measures of the systematic properties of severe tornadoes and
severe tornado outbreaks.</p>
</abstract>
<counts><page-count count="15"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple"> Brooks, H. E.: On the relationship of tornado path length and width to intensity, Weather Forecast., 19, 310–319, 2004. </mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple"> 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. </mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple"> Doswell, 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. </mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple"> Doswell, 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. </mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple"> Fujita, T. T.: Proposed characterization of tornadoes and hurricanes by area and intensity. SMRP Research Paper 91, Dept. Geophys. Sciences, Univ. of Chicago, 42 pp., 1971. </mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple"> Fujita, T. T.: Tornadoes and downbursts in the context of generalized planetary scales, J. Atmos. Sci., 38, 1511–1534, 1981. </mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple"> Fujita, T. T. and Pearson, A. D.: Results of FPP classification of 1971 and 1972 tornadoes, Preprints, Eighth Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc., 142–145, 1973. </mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple"> Glickman, T. S. (ed.): Glossary of Meteorology, 2nd edition, Amer. Meteor. Soc., 782 pp., 2000. </mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple"> Hanks, T. C. and Kanamori, H.: A moment magnitude scale, J. Geophys. Res., 84, 2348–2350, 1979. </mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple"> Humphries, N. E., Queiroz, N., Dyer, J. R., Pade, N. G., Musyl, M. K., Schaefer, K. M., Fuller, D. W., Brunnschweiler, J. M., Doyle, T. K., Houghton, J. D., Hays, G. C., Jones, C. S., Noble, L. R., Wearmouth, V. J., Southall, E. J. and Sims, D. W.: Environmental context explains Levy and Brownian movement patterns of marine predators. Nature, 465, 1066–1069, 2010. </mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple"> Kelly, D. L., Schaefer, J. T., McNulty, R. P., Doswell, C. A., and Abbey Jr., R. F.: An augmented tornado climatology, Mon. Weather Rev., 106, 1172–1183, 1978. </mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple"> McCarthy, D. W.: NWS tornado surveys and the impact on the national tornado database, First Symposium on F-Scale and Severe Weather Damage Assessment, Long Beach, CA, Amer. Meteor. Soc., preprint 3.2, 2003. </mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple"> NOAA (National Oceanic and Atmospheric Administration): Storm Prediction Centre (SPC), Tornado, Hail, and Wind Database, available at: www.spc.noaa.gov/wcm/, last access: 30 July 2012. </mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple"> Potter, S.: Fine-tuning Fujita, Weatherwise, 60, 64–71, 2007. </mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple"> Richter, C.: An instrumental earthquake magnitude scale, Bull. Seis. Soc. Amer., 25, 1–32, 1935. </mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple"> Schaefer, J. T., Schneider, R. S., and Kay, M. P.: The robustness of tornado hazard estimates, Third Symposium on Environmental Applications, Orlando, FL, USA, Amer. Meteor. Soc., paper 4.1, 35–41, 2002. </mixed-citation>
</ref>
<ref id="ref17">
<label>17</label><mixed-citation publication-type="other" xlink:type="simple"> Schielicke, L. and Névir, P.: Introduction of an atmospheric moment combining Eulerian and Lagrangian aspects of vortices: Application to tornadoes, Atmos. Res., 100, 357–365, http://dx.doi.org/10.1016/j.atmosres.2010.08.027doi:10.1016/j.atmosres.2010.08.027, 2011. </mixed-citation>
</ref>
<ref id="ref18">
<label>18</label><mixed-citation publication-type="other" xlink:type="simple"> Verbout, S. M., Brooks, H. E., Leslie, L. M., and Schultz, D. M.: Evolution of the U.S. tornado database: 1954–2003, Weather Forecast., 21, 86–93, 2006. </mixed-citation>
</ref>
<ref id="ref19">
<label>19</label><mixed-citation publication-type="other" xlink:type="simple"> White, E. P., Enquist, B. J., and Green, J. L.: On estimating the exponent of power-law frequency distributions. Ecology, 89, 905–912 http://dx.doi.org/10.1890/07–1288.1doi:10.1890/07–1288.1, 2008. </mixed-citation>
</ref>
</ref-list>
</back>
</article>