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<front>
<journal-meta>
<journal-id journal-id-type="publisher">NPG</journal-id>
<journal-title-group>
<journal-title>Nonlinear Processes in Geophysics</journal-title>
<abbrev-journal-title abbrev-type="publisher">NPG</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Nonlin. Processes Geophys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1607-7946</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/npg-18-719-2011</article-id>
<title-group>
<article-title>Extreme events and long-range correlations  in space weather</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sharma</surname>
<given-names>A. S.</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>Veeramani</surname>
<given-names>T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Astronomy, University of Maryland, College Park, Maryland, 20742, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>now at: Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>10</month>
<year>2011</year>
</pub-date>
<volume>18</volume>
<issue>5</issue>
<fpage>719</fpage>
<lpage>725</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2011 A. S. Sharma</copyright-statement>
<copyright-year>2011</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://npg.copernicus.org/articles/18/719/2011/npg-18-719-2011.html">This article is available from https://npg.copernicus.org/articles/18/719/2011/npg-18-719-2011.html</self-uri>
<self-uri xlink:href="https://npg.copernicus.org/articles/18/719/2011/npg-18-719-2011.pdf">The full text article is available as a PDF file from https://npg.copernicus.org/articles/18/719/2011/npg-18-719-2011.pdf</self-uri>
<abstract>
<p>Space weather is driven by the
 solar wind and many  geospace storms and substorms are  natural hazards with
 considerable societal impact. The dynamical and statistical features of these
  events are complicated because of the turbulent nature of their driver, the solar
wind. Large-scale data sets of geospace storms and substorms are analysed for
this study of the inherent statistical characteristics of extreme events in
geospace. The detrended fluctuation analysis, based on the autocorrelation
functions, is used and yields scaling behavior representing long-term
correlations. The scaling function is represented by two exponents, arising
due mainly to the presence of the largely coherent internal dynamics of the
magnetosphere and the turbulent nature of the solar wind driver.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
</front>
<body/>
<back>
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