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<article language="en">
	<journal>
		<journal_title>Nonlinear Processes  in Geophysics</journal_title>
		<journal_url>www.nonlin-processes-geophys.net</journal_url>
		<issn>1023-5809</issn>
		<eissn>1607-7946</eissn>
		<volume_number>8</volume_number>
		<issue_number>4/5</issue_number>
		<publication_year>2001</publication_year>
	</journal>
	<doi>10.5194/npg-8-201-2001</doi>
	<article_url>http://www.nonlin-processes-geophys.net/8/201/2001/</article_url>
	<abstract_html>http://www.nonlin-processes-geophys.net/8/201/2001/npg-8-201-2001.html</abstract_html>
	<fulltext_pdf>http://www.nonlin-processes-geophys.net/8/201/2001/npg-8-201-2001.pdf</fulltext_pdf>
	<start_page>201</start_page>
	<end_page>209</end_page>
	<publication_date>0000-00-00</publication_date>
	<article_title content_type="html">Climate model attractors: chaos, quasi-regularity and sensitivity to small perturbations of external forcing</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>V. P. Dymnikov</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>A. S. Gritsoun</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute of Numerical Mathematics, Moscow, Russia</affiliation>
	</affiliations>
	<abstract content_type="html">In this paper we
      discuss some theoretical results obtained for climate models (theorems for
      the existence of global attractors and inertial manifolds, estimates of
      attractor dimension and Lyapunov exponents, symmetry property of Lyapunov
      spectrum). We define the conditions for &amp;quot;quasi-regular
      behaviour&amp;quot; of a climate system. Under these conditions, the system
      behaviour is subject to the Kraichnan fluctuation-dissipation relation.
      This fact allows us to solve the problem of determining a system&apos;s
      sensitivity to small perturbations to an external forcing. The
      applicability of the above approach to the analysis of the climate system
      sensitivity is verified numerically with the example of the two-layer
      quasi-geostrophic atmospheric model.</abstract>
	<references>
	</references>
</article>

