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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>6</volume_number>
		<issue_number>5</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/acpd-6-10591-2006</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/6/10591/2006/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/6/10591/2006/acpd-6-10591-2006.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/6/10591/2006/acpd-6-10591-2006.pdf</fulltext_pdf>
	<start_page>10591</start_page>
	<end_page>10648</end_page>
	<publication_date>2006-10-19</publication_date>
	<article_title content_type="html">Development of the adjoint of GEOS-Chem</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>D. K. Henze</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>J. H. Seinfeld</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">California Institute of Technology, Pasadena, CA, USA</affiliation>
	</affiliations>
	<abstract content_type="html">We present the adjoint of the global chemical transport model GEOS-Chem,
focusing on the chemical and thermodynamic relationships between sulfate &amp;ndash;
ammonium &amp;ndash; nitrate aerosols and their gas-phase precursors. The adjoint model
is constructed from a combination of manually and automatically derived
discrete adjoint algorithms and numerical solutions to continuous adjoint
equations. Explicit inclusion of the processes that govern secondary
formation of inorganic aerosol is shown to afford efficient calculation of
model sensitivities such as the dependence of sulfate and nitrate aerosol
concentrations on emissions of SO&lt;sub&gt;x&lt;/sub&gt;, NO&lt;sub&gt;x&lt;/sub&gt;, and NH&lt;sub&gt;3&lt;/sub&gt;. The
adjoint model is extensively validated by comparing adjoint to finite
difference sensitivities, which are shown to agree within acceptable
tolerances; most sets of comparisons have a nearly 1:1 correlation and &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;&amp;gt;0.9. We explore the robustness of these results, noting how insufficient
observations or nonlinearities in the advection routine can degrade the
adjoint model performance. The potential for inverse modeling using the
adjoint of GEOS-Chem is assessed in a data assimilation framework through a
series of tests using simulated observations, demonstrating the feasibility
of exploiting gas- and aerosol-phase measurements for optimizing emission
inventories of aerosol precursors.</abstract>
	<references>
	</references>
</article>

