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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>1</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-1261-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/1261/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/1261/2008/acpd-8-1261-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/1261/2008/acpd-8-1261-2008.pdf</fulltext_pdf>
	<start_page>1261</start_page>
	<end_page>1289</end_page>
	<publication_date>2008-01-25</publication_date>
	<article_title content_type="html">Technical Note: Impact of nonlinearity on changing the a priori of trace gas profiles estimates from the Tropospheric Emission Spectrometer (TES)</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. S. Kulawik</name>
			<email>susan.kulawik@jpl.nasa.gov</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>K. W. Bowman</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>M. Luo</name>
		</author>
		<author numeration="4" affiliations="2">
			<name>C. D. Rodgers</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>L. Jourdain</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA</affiliation>
		<affiliation numeration="2" content_type="html">University Oxford, Clarendon Lab, Oxford OX1 3PU, UK</affiliation>
	</affiliations>
	<abstract content_type="html">Non-linear optimal estimates of atmospheric profiles from the Tropospheric
Emission Spectrometer (TES) may contain a priori information that varies
geographically, which is a confounding factor in the analysis and physical
interpretation of an ensemble of profiles. A common strategy is to transform
these profile estimates to a common prior using a linear operation thereby
facilitating the interpretation of profile variability. However, this
operation is dependent on the assumption of not worse than moderate
non-linearity near the solution of the non-linear estimate. We examines the
robustness of this assumption when exchanging the prior by comparing
atmospheric retrievals from the Tropospheric Emission Spectrometer processed
with a uniform prior with those processed with a variable prior and
converted to a uniform prior following the non-linear retrieval. We find
that linearly converting the prior following a non-linear retrieval is shown
to have a minor effect on the results as compared to a non-linear retrieval
using a uniform prior when compared to the expected total error, with less
than 10% of the change in the prior ending up as unbiased fluctuations in
the profile estimate results.</abstract>
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</article>

