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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences Discussions</journal_title>
		<journal_url>www.hydrol-earth-syst-sci-discuss.net</journal_url>
		<issn>1812-2108</issn>
		<eissn>1812-2116</eissn>
		<volume_number>6</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hessd-6-2733-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci-discuss.net/6/2733/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci-discuss.net/6/2733/2009/hessd-6-2733-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci-discuss.net/6/2733/2009/hessd-6-2733-2009.pdf</fulltext_pdf>
	<start_page>2733</start_page>
	<end_page>2750</end_page>
	<publication_date>2009-03-27</publication_date>
	<article_title content_type="html">Assessment of soil moisture fields from imperfect climate models with uncertain satellite observations</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>G. Schumann</name>
			<email>guy.schumann@bristol.ac.uk</email>
		</author>
		<author numeration="2" affiliations="1,2">
			<name>D. J. Lunt</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>P. J. Valdes</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>R. A. M. de Jeu</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>K. Scipal</name>
		</author>
		<author numeration="6" affiliations="1">
			<name>P. D. Bates</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">School of Geographical Sciences, University of Bristol, University Road, Bristol, BS8 1SS, UK</affiliation>
		<affiliation numeration="2" content_type="html">Geological Sciences Division, British Antarctic Survey, Cambridge, CB3 0ET, UK</affiliation>
		<affiliation numeration="3" content_type="html">Department of Hydrology and Geo-Environmental Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands</affiliation>
		<affiliation numeration="4" content_type="html">Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, 1040, Vienna, Austria</affiliation>
	</affiliations>
	<abstract content_type="html">We demonstrate that global satellite products can be used to evaluate climate
model soil moisture predictions but conclusions should be drawn with care. The
quality of a limited area climate model (LAM) was compared to a general
circulation model (GCM) using soil moisture data from two different Earth
observing satellites within a model validation scheme that copes with the
presence of uncertain data. Results showed that in the face of imperfect
models and data, it is difficult to investigate the quality of current land
surface schemes in simulating hydrology accurately. Nevertheless, a LAM provides,
in general, a better representation of spatial patterns and dynamics of soil
moisture. However, in months when data uncertainty is higher, particularly in
colder months and in periods when vegetation cover and soil moisture are out
of phase (e.g. August in the case of Western Europe), it is not possible to
draw firm conclusions about model acceptability. Our work indicates that a
higher resolution LAM has more benefits to soil moisture prediction than are
due to the resolution alone and can be attributed to an overall intensification
of the hydrological cycle relative to the GCM.</abstract>
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</article>
