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<article language="en">
	<journal>
		<journal_title>Atmospheric Measurement Techniques Discussions</journal_title>
		<journal_url>www.atmos-meas-tech-discuss.net</journal_url>
		<eissn>1867-8610</eissn>
		<volume_number>3</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/amtd-3-501-2010</doi>
	<article_url>http://www.atmos-meas-tech-discuss.net/3/501/2010/</article_url>
	<abstract_html>http://www.atmos-meas-tech-discuss.net/3/501/2010/amtd-3-501-2010.html</abstract_html>
	<fulltext_pdf>http://www.atmos-meas-tech-discuss.net/3/501/2010/amtd-3-501-2010.pdf</fulltext_pdf>
	<start_page>501</start_page>
	<end_page>529</end_page>
	<publication_date>2010-02-11</publication_date>
	<article_title content_type="html">Potential for the use of reconstructed IASI radiances in the detection of atmospheric trace gases</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>N. C. Atkinson</name>
			<email>nigel.atkinson@metoffice.gov.uk</email>
		</author>
		<author numeration="2" affiliations="1,2">
			<name>F. I. Hilton</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>S. M. Illingworth</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>J. R. Eyre</name>
		</author>
		<author numeration="5" affiliations="3">
			<name>T. Hultberg</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Met Office, Fitzroy Road, Exeter, EX1 3PB, UK</affiliation>
		<affiliation numeration="2" content_type="html">Department of Physics and Astronomy, University of Leicester, LE1 7RH, UK</affiliation>
		<affiliation numeration="3" content_type="html">EUMETSAT, Eumetsat-Allee 1, 64295 Darmstadt, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Principal component (PC) analysis has received considerable attention as a
technique for the extraction of meteorological signals from hyperspectral
infra-red sounders such as the Infrared Atmospheric Sounding Interferometer
(IASI) and the Atmospheric Infrared Sounder (AIRS). In addition to achieving
substantial bit-volume reductions for dissemination purposes, the technique
can also be used to generate reconstructed radiances in which random
instrument noise has been suppressed. To date, most studies have been in the
context of Numerical Weather Prediction (NWP). This study examines the
potential of PC analysis for chemistry applications.
&lt;br&gt;&lt;br&gt;
A major concern in the use of PC analysis for chemistry has been that the
spectral features associated with trace gases may not be well represented
in the reconstructed spectra, either due to deficiencies in the training set
or due to the limited number of PC scores used in the radiance
reconstruction. In this paper we show examples of reconstructed IASI
radiances for several trace gases: ammonia, sulphur dioxide, methane and
carbon monoxide. It is shown that care must be taken in the selection of
spectra for the initial training set: an iterative technique, in which
outlier spectra are added to a base training set, gives the best results.
For the four trace gases examined, the chemical signatures are retained in
the reconstructed radiances, whilst achieving a substantial reduction in
instrument noise.
&lt;br&gt;&lt;br&gt;
A new regional re-transmission service for IASI is scheduled to start in
2010, as part of the EUMETSAT Advanced Retransmission Service (EARS). For
this EARS-IASI service it is intended to include PC scores as part of the
data stream. The paper describes the generation of the reference
eigenvectors for this new service.</abstract>
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</article>

