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<article language="en">
	<journal>
		<journal_title>Geoscientific Model Development Discussions</journal_title>
		<journal_url>www.geosci-model-dev-discuss.net</journal_url>
		<issn>1991-9611</issn>
		<eissn>1991-962X</eissn>
		<volume_number>2</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/gmdd-2-551-2009</doi>
	<article_url>http://www.geosci-model-dev-discuss.net/2/551/2009/</article_url>
	<abstract_html>http://www.geosci-model-dev-discuss.net/2/551/2009/gmdd-2-551-2009.html</abstract_html>
	<fulltext_pdf>http://www.geosci-model-dev-discuss.net/2/551/2009/gmdd-2-551-2009.pdf</fulltext_pdf>
	<start_page>551</start_page>
	<end_page>579</end_page>
	<publication_date>2009-06-12</publication_date>
	<article_title content_type="html">Streamflow data assimilation for soil moisture analysis</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>K. Warrach-Sagi</name>
			<email>warrach@uni-hohenheim.de</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>V. Wulfmeyer</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute for Physics and Meteorology, University of Hohenheim, Stuttgart, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Streamflow depends on the soil moisture of a river catchment and can be
measured with relatively high accuracy. The soil moisture in the root zone
influences the latent heat flux and hence the quantity and spatial
distribution of atmospheric water vapour and precipitation. As numerical
weather forecast and climate models require a proper soil moisture
initialization for their land surface models, we enhanced an Ensemble Kalman
Filter to assimilate streamflow timeseries into the multi-layer land surface
model TERRA-ML of the regional weather forecast model COSMO. The impact of
streamflow assimilation was studied by an observing system simulation
experiment in the Enz River catchment (located at the downwind side of the
northern Black Forest in Germany). The results demonstrate a clear
improvement of the soil moisture field in the catchment. We illustrate the
potential of streamflow data assimilation for weather forecasting and
discuss its spatial and temporal requirements for a corresponding, automated
river gauging network.</abstract>
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</article>

