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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-13-449-2006</article-id>
<title-group>
<article-title>Statistical characteristics of surrogate data based on geophysical measurements</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Venema</surname>
<given-names>V.</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>Bachner</surname>
<given-names>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>Rust</surname>
<given-names>H. W.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Simmer</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Meteorologisches Institut, Universität Bonn, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Potsdam Institute for Climate Impact Research, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>09</month>
<year>2006</year>
</pub-date>
<volume>13</volume>
<issue>4</issue>
<fpage>449</fpage>
<lpage>466</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2006 V. Venema et al.</copyright-statement>
<copyright-year>2006</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by-nc-sa/2.5/">https://creativecommons.org/licenses/by-nc-sa/2.5/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://npg.copernicus.org/articles/13/449/2006/npg-13-449-2006.html">This article is available from https://npg.copernicus.org/articles/13/449/2006/npg-13-449-2006.html</self-uri>
<self-uri xlink:href="https://npg.copernicus.org/articles/13/449/2006/npg-13-449-2006.pdf">The full text article is available as a PDF file from https://npg.copernicus.org/articles/13/449/2006/npg-13-449-2006.pdf</self-uri>
<abstract>
<p>In this study, the statistical properties of a range of
measurements are compared with those of their surrogate time series. Seven
different records are studied, amongst others, historical time series of
mean daily temperature, daily rain sums and runoff from two rivers, and
cloud measurements. Seven different algorithms are used to generate the
surrogate time series. The best-known method is the iterative amplitude
adjusted Fourier transform (IAAFT) algorithm, which is able to reproduce the
measured distribution as well as the power spectrum. Using this setup, the
measurements and their surrogates are compared with respect to their power
spectrum, increment distribution, structure functions, annual percentiles
and return values. It is found that the surrogates that reproduce the power
spectrum and the distribution of the measurements are able to closely match
the increment distributions and the structure functions of the measurements,
but this often does not hold for surrogates that only mimic the power
spectrum of the measurement. However, even the best performing surrogates do
not have asymmetric increment distributions, i.e., they cannot reproduce
nonlinear dynamical processes that are asymmetric in time. Furthermore, we
have found deviations of the structure functions on small scales.</p>
</abstract>
<counts><page-count count="18"/></counts>
</article-meta>
</front>
<body/>
<back>
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</article>