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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>8</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-12529-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/12529/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/12529/2008/acpd-8-12529-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/12529/2008/acpd-8-12529-2008.pdf</fulltext_pdf>
	<start_page>12529</start_page>
	<end_page>12560</end_page>
	<publication_date>2008-07-01</publication_date>
	<article_title content_type="html">Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>N. Bei</name>
			<email>bnf@mce2.org</email>
		</author>
		<author numeration="2" affiliations="1,3">
			<name>B. de Foy</name>
		</author>
		<author numeration="3" affiliations="1,2">
			<name>W. Lei</name>
		</author>
		<author numeration="4" affiliations="1,2">
			<name>M. Zavala</name>
		</author>
		<author numeration="5" affiliations="1,2">
			<name>L. T. Molina</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Molina Center for Energy and the Environment, La Jolla, CA, USA</affiliation>
		<affiliation numeration="2" content_type="html">Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technolology, Cambridge, MA, USA</affiliation>
		<affiliation numeration="3" content_type="html">Saint Louis University, Saint Louis, MO, USA</affiliation>
	</affiliations>
	<abstract content_type="html">This study investigates the improvement of ozone
(O&lt;sub&gt;3&lt;/sub&gt;) simulations in the Mexico City basin using a
three-dimensional variational (3DVAR) data assimilation system in
meteorological modeling during the MCMA-2003 campaign. Meteorological
simulations from the Penn State/NCAR mesoscale model (MM5) are used to drive
photochemical modeling with the Comprehensive Air Quality Model with
extensions (CAMx) during a four-day episode on 13â€“16 April 2003. The
calculated wind circulation, temperature, and humidity fields in the basin
with the data assimilation are found to be more consistent with the
observations than those from the reference deterministic forecast. This
leads to improved calculations of plume position, peak O&lt;sub&gt;3&lt;/sub&gt; timing, and
peak O&lt;sub&gt;3&lt;/sub&gt; concentrations in the photochemical model. The improvement of
O&lt;sub&gt;3&lt;/sub&gt; simulations is especially strong during the daytime. The results
demonstrate the importance of applying data assimilation in meteorological
simulations for air quality studies in the Mexico City basin.</abstract>
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