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<article language="en">
	<journal>
		<journal_title>Climate of the Past Discussions</journal_title>
		<journal_url>www.clim-past-discuss.net</journal_url>
		<issn>1814-9340</issn>
		<eissn>1814-9359</eissn>
		<volume_number>3</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/cpd-3-249-2007</doi>
	<article_url>http://www.clim-past-discuss.net/3/249/2007/</article_url>
	<abstract_html>http://www.clim-past-discuss.net/3/249/2007/cpd-3-249-2007.html</abstract_html>
	<fulltext_pdf>http://www.clim-past-discuss.net/3/249/2007/cpd-3-249-2007.pdf</fulltext_pdf>
	<start_page>249</start_page>
	<end_page>284</end_page>
	<publication_date>2007-01-31</publication_date>
	<article_title content_type="html">On the verification of climate reconstructions</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>G. Bürger</name>
			<email>gerd.buerger@met.fu-berlin.de</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">FU-Berlin, Institut für Meteorologie; Carl-Heinrich-Becker-Weg 6&amp;ndash;10, 12165 Berlin, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">The skill of proxy-based reconstructions of Northern hemisphere
temperature is reassessed. Using an almost complete set of proxy and
instrumental data of the past 130 years a multi-crossvalidation is
conducted of a number of statistical methods, producing a distribution
of verification skill scores. The scores show considerable variation
for all methods, but previous estimates, such as a 50% reduction of
error (&lt;i&gt;RE&lt;/i&gt;), appear as outliers and more realistic estimates vary
about 25%. It is shown that the overestimation of skill is possible
in the presence of strong persistence (trends). In that case, the
classical &quot;early&quot; or &quot;late&quot; calibration sets are not
representative for the intended (instrumental, millennial) domain. As
a consequence, &lt;i&gt;RE&lt;/i&gt; scores are generally inflated, and the proxy
predictions are easily outperformed by random-based, a priori
skill-less predictions.
&lt;br&gt;&lt;br&gt;
To obtain robust significance levels the multi-crossvalidation is
repeated using predictors based on red noise. Comparing both
distributions, it turns out that the proxies perform significantly
better for almost all methods. The nonsense predictor scores do not
vanish, nonetheless, with an estimated 10% of spurious skill based on
representative samples. I argue that this residual score is due to the
limited sample size of 130 years, where the memory of the processes
degrades the independence of calibration and validation sets. It is
likely that proxy prediction scores are inflated correspondingly, and
have to be adjusted further.

The consequences of the limited verification skill for millennial
reconstructions is briefly discussed.</abstract>
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</article>

