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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-6-411-2010</doi>
	<article_url>http://www.clim-past.net/6/411/2010/</article_url>
	<abstract_html>http://www.clim-past.net/6/411/2010/cp-6-411-2010.html</abstract_html>
	<fulltext_pdf>http://www.clim-past.net/6/411/2010/cp-6-411-2010.pdf</fulltext_pdf>
	<start_page>411</start_page>
	<end_page>414</end_page>
	<publication_date>2010-07-02</publication_date>
	<article_title content_type="html">Comment on &quot;Using multiple observationally-based constraints to estimate climate sensitivity&quot; by J. D. Annan and J. C. Hargreaves, Geophys. Res. Lett., 2006</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. V. Henriksson</name>
			<email>svante.henriksson@fmi.fi</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>E. Arjas</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>M. Laine</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>J. Tamminen</name>
		</author>
		<author numeration="5" affiliations="1,3">
			<name>A. Laaksonen</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Finnish Meteorological Institute, 00101, Helsinki, Finland</affiliation>
		<affiliation numeration="2" content_type="html">Department of Mathematics and Statistics, University of Helsinki, 00014, Helsinki, Finland</affiliation>
		<affiliation numeration="3" content_type="html">Department of Physics, University of Kuopio, 70211, Kuopio, Finland</affiliation>
	</affiliations>
	<abstract content_type="html">In their article from 2006, Annan and Hargreaves present a probabilistic estimate of climate sensitivity
obtained by using Bayes&apos; theorem to combine information from different sources. In this comment article we critisize two
aspects of their reasoning, namely using probability density functions and likelihood functions interchangeably and the assumed
independence of evidence from the different sources. The derivation of their result rests on key assumptions, some stated explicitly
and some left implicit, which could be unrealistic. Thus their study does not convincingly reduce the large uncertainty of climate
sensitivity remaining in previous observationally-based studies.</abstract>
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</article>

