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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>1</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/gmdd-3-201-2010</doi>
	<article_url>http://www.geosci-model-dev-discuss.net/3/201/2010/</article_url>
	<abstract_html>http://www.geosci-model-dev-discuss.net/3/201/2010/gmdd-3-201-2010.html</abstract_html>
	<fulltext_pdf>http://www.geosci-model-dev-discuss.net/3/201/2010/gmdd-3-201-2010.pdf</fulltext_pdf>
	<start_page>201</start_page>
	<end_page>272</end_page>
	<publication_date>2010-02-23</publication_date>
	<article_title content_type="html">A kinetic chemistry tagging technique and its application to modelling the stable isotopic composition of atmospheric trace gases</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. Gromov</name>
			<email>sergey.gromov@mpic.de</email>
		</author>
		<author numeration="2" affiliations="1,2">
			<name>P. Jöckel</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>R. Sander</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>C. A. M. Brenninkmeijer</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Atmospheric Chemistry Department, Max Planck Institute for Chemistry, P.O. Box 3060, 55020 Mainz, Germany</affiliation>
		<affiliation numeration="2" content_type="html">now at: Deutsches Zentrum für Luft-und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, 82234 Weßling, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Isotope composition, in many cases, holds unique information on sources,
chemical modification and sinks of atmospheric trace gases. Vital to the
interpretation and use of an increasing number of isotope analyses is
appropriate modelling. However, the exact implementation of isotopic
information is a challenge, and often studies use simplifications which
limit their applicability. Here we confer a thorough isotopic extension to
MECCA, a comprehensive kinetic chemistry sub-model. To this end, we devise a
generic tagging technique for the kinetic chemistry mechanisms implemented
as the sub-submodel MECCA-TAG. The technique constitutes a diagnostic tool
that can benefit the investigation of various aspects of kinetic chemistry
schemes; at the same time, the designed numerical optimisation reduces the
computational effort while keeping important details unaffected. We further
focus specifically on the modelling of stable isotopic composition,
including the required extensions of the approach. The results of MECCA-TAG
are evaluated against the reference sub-submodel MECCA-DBL, which is
implicitly full-detailed, but necessarily is sub-optimal in practical
applications due to its high computational demands. Furthermore, we evaluate
the elaborate carbon and oxygen isotopic mechanism by simulating the
multi-isotope composition of CO and other trace gases in the CAABA/MECCA
box-model. The mechanism realistically simulates the oxygen isotope
composition of key species resulting from the interchange with ozone and
main atmospheric reservoirs, as well as the carbon isotope signature
transfer. The model adequately reproduces the isotope chemistry features for
CO under the limitation of the modelling domain. In particular, the
mass-independently fractionated (MIF) composition of CO due to reactions of
ozone with unsaturated hydrocarbons (a source effect) versus its intrinsic
MIF enrichment induced in the removal reaction via oxidation by OH is
assessed. As for the simulated conditions, the ozone source effect was found
to be up to +1&amp;permil; in &amp;Delta;&lt;sup&gt;17&lt;/sup&gt;O(CO). The versatile modelling framework
we employ (the Modular Earth Submodel System, MESSy) opens the way for
implementation of the novel detailed isotopic chemistry treatment in the
three-dimensional atmospheric-chemistry general circulation model EMAC. We
therefore also present estimates of the computational gain obtained by the
developed optimisations.</abstract>
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</article>

