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<!DOCTYPE article SYSTEM "http://www.the-cryosphere.net/inc/tc/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>The Cryosphere</journal_title>
		<journal_url>www.the-cryosphere.net</journal_url>
		<issn>1994-0416</issn>
		<eissn>1994-0424</eissn>
		<volume_number>4</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/tc-4-99-2010</doi>
	<article_url>http://www.the-cryosphere.net/4/99/2010/</article_url>
	<abstract_html>http://www.the-cryosphere.net/4/99/2010/tc-4-99-2010.html</abstract_html>
	<fulltext_pdf>http://www.the-cryosphere.net/4/99/2010/tc-4-99-2010.pdf</fulltext_pdf>
	<start_page>99</start_page>
	<end_page>113</end_page>
	<publication_date>2010-02-05</publication_date>
	<article_title content_type="html">High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>M. Bernhardt</name>
			<email>m.bernhardt@iggf.geo.uni-muenchen.de</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>G. E. Liston</name>
		</author>
		<author numeration="3" affiliations="4">
			<name>U. Strasser</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>G. Zängl</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>K. Schulz</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Geography, Ludwig-Maximilians-University (LMU), Munich, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, USA</affiliation>
		<affiliation numeration="3" content_type="html">Deutscher Wetterdienst (DWD), Offenbach, Germany</affiliation>
		<affiliation numeration="4" content_type="html">Institut für Geographie und Raumforschung, University of Graz, Graz, Austria</affiliation>
	</affiliations>
	<abstract content_type="html">Snow transport is one of the most dominant processes influencing the snow
cover accumulation and ablation in high mountain environments. Hence, the
spatial and temporal variability of the snow cover is significantly modified
with respective consequences on the total amount of water in the snow pack,
on the temporal dynamics of the runoff and on the energy balance of the
surface. For the present study we used the snow transport model SnowModel in
combination with MM5 (Penn State University – National Center for
Atmospheric Research MM5 model) generated wind fields. In a first step the
MM5 wind fields were downscaled by using a semi-empirical approach which
accounts for the elevation difference of model and real topography, and
vegetation. The target resolution of 30 m corresponds to the resolution of
the best available DEM and land cover map of the test site Berchtesgaden
National Park. For the numerical modelling, data of six automatic
meteorological stations were used, comprising the winter season (September–August)
of 2003/04 and 2004/05. In addition we had automatic snow depth measurements
and periodic manual measurements of snow courses available for the
validation of the results. It could be shown that the model performance of
SnowModel could be improved by using downscaled MM5 wind fields for the test
site. Furthermore, it was shown that an estimation of snow transport from
surrounding areas to glaciers becomes possible by using downscaled MM5 wind
fields.</abstract>
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</article>
