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<article language="en">
	<journal>
		<journal_title>The Cryosphere Discussions</journal_title>
		<journal_url>www.the-cryosphere-discuss.net</journal_url>
		<issn>1994-0432</issn>
		<eissn>1994-0440</eissn>
		<volume_number>2</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/tcd-2-487-2008</doi>
	<article_url>http://www.the-cryosphere-discuss.net/2/487/2008/</article_url>
	<abstract_html>http://www.the-cryosphere-discuss.net/2/487/2008/tcd-2-487-2008.html</abstract_html>
	<fulltext_pdf>http://www.the-cryosphere-discuss.net/2/487/2008/tcd-2-487-2008.pdf</fulltext_pdf>
	<start_page>487</start_page>
	<end_page>511</end_page>
	<publication_date>2008-07-01</publication_date>
	<article_title content_type="html">On the use of incoming longwave radiation parameterizations in a glacier environment</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>J. Sedlar</name>
			<email>josephs@misu.su.se</email>
		</author>
		<author numeration="2" affiliations="2,3">
			<name>R. Hock</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Meteorology, Stockholm University, Sweden</affiliation>
		<affiliation numeration="2" content_type="html">Geophysical Institute, University of Alaska Fairbanks, USA</affiliation>
		<affiliation numeration="3" content_type="html">Department of Earth Sciences, Uppsala University, Sweden</affiliation>
	</affiliations>
	<abstract content_type="html">Energy balance based glacier melt models require accurate estimates of
incoming longwave radiation since it is generally the largest source of
energy input. Multi-year near-surface meteorological data from
Storglaciären, northern Sweden, were used to evaluate commonly used
longwave radiation parameterizations in a glacier environment under
clear-sky, overcast-sky and all-sky conditions. The tested parameterization
depending solely on air temperature performed worse than those including
also air humidity. Adopting parameter values from the literature instead of
fitting them to the data resulted in similar correlation coefficients
between modeled and measured radiation, but generated larger biases,
emphasizing the need to derive site-specific coefficients. Nearly all models
including those fitted to the data tended to overestimate longwave radiation
during periods of low longwave radiation, and vice versa when radiation
input was high. An attempt was made to parameterize cloud cover using top of
atmosphere and measured global radiation. Both hourly and daily calculations
of incoming longwave radiation using the cloud parameterization provided
similar, or even stronger, correlations to the measurements compared to
using observed cloud fraction as input. Using the global radiation cloud
parameterization is promising for use in high-latitude regions where global
radiation measurements exist but cloud observations do not.</abstract>
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</article>

