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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-2-513-2008</doi>
	<article_url>http://www.the-cryosphere-discuss.net/2/513/2008/</article_url>
	<abstract_html>http://www.the-cryosphere-discuss.net/2/513/2008/tcd-2-513-2008.html</abstract_html>
	<fulltext_pdf>http://www.the-cryosphere-discuss.net/2/513/2008/tcd-2-513-2008.pdf</fulltext_pdf>
	<start_page>513</start_page>
	<end_page>556</end_page>
	<publication_date>2008-07-11</publication_date>
	<article_title content_type="html">High resolution modelling of snow transport in complex terrain using simulated 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="1">
			<name>U. Strasser</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>G. E. Liston</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>W. Mauser</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department for Earth and Environmental Sciences, Ludwig-Maximilians-University (LMU), Munich, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Cooperative Inst. for Research in the Atmosphere, Colorado State Univ., Fort Collins, USA</affiliation>
	</affiliations>
	<abstract content_type="html">Snow transport is one of the most dominant processes influencing the snow
cover accumulation and ablation in high alpine 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 presented study we used the snow transport model
SnowTran-3D in combination with MM5 (Penn State University â€“ 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, as well
as aspect, inclination and vegetation. The target resolution of 30 m
corresponds to the resolution of the best available DEM and land cover map.
For the numerical modelling, data of six automatic meteorological stations
were used, comprising the winter season (Septemberâ€“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. In this paper we describe the downscaling of the wind fields and
discuss the results of the snow transport simulations with respect to the
measurements and remotely sensed data.</abstract>
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</article>

