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<article language="en">
	<journal>
		<journal_title>Solid Earth</journal_title>
		<journal_url>www.solid-earth.net</journal_url>
		<issn>1869-9510</issn>
		<eissn>1869-9529</eissn>
		<volume_number>1</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/se-1-5-2010</doi>
	<article_url>http://www.solid-earth.net/1/5/2010/</article_url>
	<abstract_html>http://www.solid-earth.net/1/5/2010/se-1-5-2010.html</abstract_html>
	<fulltext_pdf>http://www.solid-earth.net/1/5/2010/se-1-5-2010.pdf</fulltext_pdf>
	<start_page>5</start_page>
	<end_page>24</end_page>
	<publication_date>2010-02-22</publication_date>
	<article_title content_type="html">Earth&apos;s surface heat flux</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>J. H. Davies</name>
			<email>daviesjh2@cardiff.ac.uk</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>D. R. Davies</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">School of Earth and Ocean Sciences, Cardiff University, Main Building, Park Place, Cardiff, CF103YE, Wales, UK</affiliation>
		<affiliation numeration="2" content_type="html">Department of Earth Science &amp; Engineering, Imperial College London, South Kensington Campus, London, SW72AZ, UK</affiliation>
	</affiliations>
	<abstract content_type="html">We present a revised estimate of Earth&apos;s surface heat flux that is based
upon a heat flow data-set with 38 347 measurements, which is 55% more
than used in previous estimates. Our methodology, like others, accounts for
hydrothermal circulation in young oceanic crust by utilising a half-space
cooling approximation. For the rest of Earth&apos;s surface, we estimate the
average heat flow for different geologic domains as defined by global
digital geology maps; and then produce the global estimate by multiplying it
by the total global area of that geologic domain. The averaging is done on a
polygon set which results from an intersection of a 1 degree equal area grid
with the original geology polygons; this minimises the adverse influence of
clustering. These operations and estimates are derived accurately using
methodologies from Geographical Information Science. We consider the
virtually un-sampled Antarctica separately and also make a small correction
for hot-spots in young oceanic lithosphere. A range of analyses is
presented. These, combined with statistical estimates of the error, provide
a measure of robustness. Our final preferred estimate is 47&amp;plusmn;2 TW,
which is greater than previous estimates.</abstract>
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</article>
