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	<journal>
		<journal_title>Climate of the Past</journal_title>
		<journal_url>www.clim-past.net</journal_url>
		<issn>1814-9324</issn>
		<eissn>1814-9332</eissn>
		<volume_number>6</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/cp-6-515-2010</doi>
	<article_url>http://www.clim-past.net/6/515/2010/</article_url>
	<abstract_html>http://www.clim-past.net/6/515/2010/cp-6-515-2010.html</abstract_html>
	<fulltext_pdf>http://www.clim-past.net/6/515/2010/cp-6-515-2010.pdf</fulltext_pdf>
	<start_page>515</start_page>
	<end_page>523</end_page>
	<publication_date>2010-08-06</publication_date>
	<article_title content_type="html">Clustering climate reconstructions</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>G. Bürger</name>
			<email>gbuerger@uvic.ca</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Pacific Climate Impacts Consortium, Victoria, Canada</affiliation>
	</affiliations>
	<abstract content_type="html">A systematic coherence analysis is presented for the set of the most
prominent millennial reconstructions of northern hemispheric
temperature. The large number of mutual coherences underwent a
clustering analysis that revealed five significant, mutually
incoherent (&quot;inconsistent&quot;) clusters. The use of multiple proxies
seems to be causing the clustering, at least in part, but not in an
easily definable, physical way. Alternatively, a multidimensional
scaling is performed on the same set of coherences. This results in a
graphic, two-dimensional rendering of the reconstructions whose
geometry (location and distance) is given by the coherences. Both
approaches offer complementary ways in dealing with the
inconsistencies.</abstract>
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