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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>3</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/gmdd-3-1161-2010</doi>
	<article_url>http://www.geosci-model-dev-discuss.net/3/1161/2010/</article_url>
	<abstract_html>http://www.geosci-model-dev-discuss.net/3/1161/2010/gmdd-3-1161-2010.html</abstract_html>
	<fulltext_pdf>http://www.geosci-model-dev-discuss.net/3/1161/2010/gmdd-3-1161-2010.pdf</fulltext_pdf>
	<start_page>1161</start_page>
	<end_page>1184</end_page>
	<publication_date>2010-08-04</publication_date>
	<article_title content_type="html">IMOGEN: an intermediate complexity model to evaluate terrestrial impacts of a changing climate</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>C. Huntingford</name>
			<email>chg@ceh.ac.uk</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>B. B. B. Booth</name>
		</author>
		<author numeration="3" affiliations="3,8">
			<name>S. Sitch</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>N. Gedney</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>J. A. Lowe</name>
		</author>
		<author numeration="6" affiliations="2">
			<name>S. K. Liddicoat</name>
		</author>
		<author numeration="7" affiliations="1">
			<name>L. M. Mercado</name>
		</author>
		<author numeration="8" affiliations="3">
			<name>M. J. Best</name>
		</author>
		<author numeration="9" affiliations="3">
			<name>G. P. Weedon</name>
		</author>
		<author numeration="10" affiliations="5,9">
			<name>R. A. Fisher</name>
		</author>
		<author numeration="11" affiliations="2">
			<name>P. Good</name>
		</author>
		<author numeration="12" affiliations="6">
			<name>P. Zelazowski</name>
		</author>
		<author numeration="13" affiliations="7">
			<name>A. C. Spessa</name>
		</author>
		<author numeration="14" affiliations="2">
			<name>C. D. Jones</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Centre for Ecology and Hydrology, Wallingford, OXON, OX10 8BB, UK</affiliation>
		<affiliation numeration="2" content_type="html">Met Office Hadley Centre, FitzRoy Road, Exeter, Devon, EX1 3PB, UK</affiliation>
		<affiliation numeration="3" content_type="html">Joint Centre for Hydro-Meteorological Research, Met Office Hadley Centre, Wallingford, OXON, OX10 8BB, UK</affiliation>
		<affiliation numeration="4" content_type="html">Reading Unit, Met Office Hadley Centre, Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading, RG6 6BB, UK</affiliation>
		<affiliation numeration="5" content_type="html">Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK</affiliation>
		<affiliation numeration="6" content_type="html">Environmental Change Institute, School of Geography and the Environment, Oxford, OX1 3QY, UK</affiliation>
		<affiliation numeration="7" content_type="html">National Centre for Atmospheric Sciences, Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading, RG6 6BB, UK</affiliation>
		<affiliation numeration="8" content_type="html">now at: School of Geography, University of Leeds, LS2 9JT, UK</affiliation>
		<affiliation numeration="9" content_type="html">now at: Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico, NM 87545, USA</affiliation>
	</affiliations>
	<abstract content_type="html">We present a computationally efficient modelling system, IMOGEN, designed to
undertake global and regional assessment of climate change impacts on the
physical and biogeochemical behaviour of the land surface. A pattern-scaling
approach to climate change drives a gridded land surface and vegetation
model MOSES/TRIFFID. The structure allows extrapolation of General
Circulation Model (GCM) simulations to different future pathways of
greenhouse gases, including rapid first-order assessments of how the land
surface and associated biogeochemical cycles might change. Evaluation of how
new terrestrial process understanding influences such predictions can also
be made with relative ease.</abstract>
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</article>

