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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-8-12887-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/12887/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/12887/2008/acpd-8-12887-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/12887/2008/acpd-8-12887-2008.pdf</fulltext_pdf>
	<start_page>12887</start_page>
	<end_page>12901</end_page>
	<publication_date>2008-07-08</publication_date>
	<article_title content_type="html">Assessing temporal clear-sky errors in assimilation of satellite CO&lt;sub&gt;2&lt;/sub&gt; retrievals using a global transport model</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>K. D. Corbin</name>
			<email>kdcorbin@atmos.colostate.edu</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>A. S. Denning</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>N. C. Parazoo</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA</affiliation>
	</affiliations>
	<abstract content_type="html">The Orbiting Carbon Observatory (OCO) and the Greenhouse gases Observing
SATellite (GOSAT) will make global observations of the total column dry-air mole fraction of
atmospheric CO&lt;sub&gt;2&lt;/sub&gt; (X&lt;sub&gt;CO&lt;sub&gt;2&lt;/sub&gt;&lt;/sub&gt;) starting in 2008. Although satellites have global coverage, X&lt;sub&gt;CO&lt;sub&gt;2&lt;/sub&gt;&lt;/sub&gt; retrieval will be made only a few times each month over a given location and will only be sampled in clear
conditions. Modelers will use X&lt;sub&gt;CO&lt;sub&gt;2&lt;/sub&gt;&lt;/sub&gt; in atmospheric inversions to estimate carbon sources and sinks; however,
if satellite measurements are used to represent temporal averages, modelers may incur temporal sampling errors.
We investigate these errors using a global transport model. Temporal sampling errors vary with time and location,
exhibit spatially coherent patterns, and are greatest over land and during summer. These errors often exceed 1 ppm
and must be addressed in a data assimilation system by correct simulation of synoptic CO&lt;sub&gt;2&lt;/sub&gt; variations
associated with cloud systems.</abstract>
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