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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>7</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/acpd-7-8035-2007</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/7/8035/2007/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/7/8035/2007/acpd-7-8035-2007.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/7/8035/2007/acpd-7-8035-2007.pdf</fulltext_pdf>
	<start_page>8035</start_page>
	<end_page>8085</end_page>
	<publication_date>2007-06-08</publication_date>
	<article_title content_type="html">Cloud-scale model intercomparison of chemical constituent transport in deep convection</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>M. C. Barth</name>
		</author>
		<author numeration="2" affiliations="1,11">
			<name>S.-W. Kim</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>C. Wang</name>
		</author>
		<author numeration="4" affiliations="3,12">
			<name>K. E. Pickering</name>
		</author>
		<author numeration="5" affiliations="3,12">
			<name>L. E. Ott</name>
		</author>
		<author numeration="6" affiliations="4">
			<name>G. Stenchikov</name>
		</author>
		<author numeration="7" affiliations="5,13">
			<name>M. Leriche</name>
		</author>
		<author numeration="8" affiliations="5">
			<name>S. Cautenet</name>
		</author>
		<author numeration="9" affiliations="6">
			<name>J.-P. Pinty</name>
		</author>
		<author numeration="10" affiliations="6">
			<name>Ch. Barthe</name>
		</author>
		<author numeration="11" affiliations="6">
			<name>C. Mari</name>
		</author>
		<author numeration="12" affiliations="7">
			<name>J. Helsdon</name>
		</author>
		<author numeration="13" affiliations="7">
			<name>R. Farley</name>
		</author>
		<author numeration="14" affiliations="8,14">
			<name>A. M. Fridlind</name>
		</author>
		<author numeration="15" affiliations="8,14">
			<name>A. S. Ackerman</name>
		</author>
		<author numeration="16" affiliations="9">
			<name>V. Spiridonov</name>
		</author>
		<author numeration="17" affiliations="10">
			<name>B. Telenta</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">National Center for Atmospheric Research, Boulder, Colorado, USA</affiliation>
		<affiliation numeration="2" content_type="html">Massachusetts Institute of Technology, Cambridge, Massachusetts, USA</affiliation>
		<affiliation numeration="3" content_type="html">University of Maryland, College Park, Maryland, USA</affiliation>
		<affiliation numeration="4" content_type="html">Rutgers University, New Brunswick, New Jersey, USA</affiliation>
		<affiliation numeration="5" content_type="html">CNRS/University Blaise-Pascal, Clermont-Ferrand, France</affiliation>
		<affiliation numeration="6" content_type="html">CNRS/Paul Sabatier University, Toulouse, France</affiliation>
		<affiliation numeration="7" content_type="html">South Dakota School of Mines and Technology, Rapid City, South Dakota, USA</affiliation>
		<affiliation numeration="8" content_type="html">NASA-Ames Research Center, Moffett Field, California, USA</affiliation>
		<affiliation numeration="9" content_type="html">Hydrometeorological Institute, Skopje, Macedonia</affiliation>
		<affiliation numeration="10" content_type="html">SENES Consultant Ltd., Toronto, Canada</affiliation>
		<affiliation numeration="11" content_type="html">now at: ESRL/CSD and CIRES, University of Colorado, Boulder, Colorado, USA</affiliation>
		<affiliation numeration="12" content_type="html">now at: NASA-Goddard Space Flight Center, Greenbelt, Maryland, USA</affiliation>
		<affiliation numeration="13" content_type="html">now at: CNRS/Paul Sabatier University, Toulouse, France</affiliation>
		<affiliation numeration="14" content_type="html">now at: NASA-GISS, New York City, New York, USA</affiliation>
	</affiliations>
	<abstract content_type="html">Transport and scavenging of chemical constituents in deep convection is
important to understanding the composition of the troposphere and therefore
chemistry-climate and air quality issues. High resolution cloud chemistry
models have been shown to represent convective processing of trace gases
quite well. To improve the representation of sub-grid convective transport
and wet deposition in large-scale models, general characteristics, such as
species mass flux, from the high resolution cloud chemistry models can be
used. However, it is important to understand how these models behave when
simulating the same storm. The intercomparison described here examines
transport of six species. CO and O&lt;sub&gt;3&lt;/sub&gt;, which are primarily transported,
show good agreement among models and compare well with observations. Models
that included lightning production of NO&lt;sub&gt;x&lt;/sub&gt; reasonably predict NO&lt;sub&gt;x&lt;/sub&gt;
mixing ratios in the anvil compared with observations, but the NO&lt;sub&gt;x&lt;/sub&gt;
variability is much larger than that seen for CO and O&lt;sub&gt;3&lt;/sub&gt;. Predicted
anvil mixing ratios of the soluble species, HNO&lt;sub&gt;3&lt;/sub&gt;, H&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;2&lt;/sub&gt;, and
CH&lt;sub&gt;2&lt;/sub&gt;O, exhibit significant differences among models, attributed to
different schemes in these models of cloud processing including the role of
the ice phase, the impact of cloud-modified photolysis rates on the
chemistry, and the representation of the species chemical reactivity. The
lack of measurements of these species in the convective outflow region does
not allow us to evaluate the model results with observations.</abstract>
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</article>

