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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>3</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-8273-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/8273/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/8273/2008/acpd-8-8273-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/8273/2008/acpd-8-8273-2008.pdf</fulltext_pdf>
	<start_page>8273</start_page>
	<end_page>8326</end_page>
	<publication_date>2008-05-05</publication_date>
	<article_title content_type="html">Three years of greenhouse gas column-averaged dry air mole fractions retrieved from satellite &amp;ndash; Part 2: Methane</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>O. Schneising</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. Buchwitz</name>
			<email>michael.buchwitz@iup.physik.uni-bremen.de</email>
		</author>
		<author numeration="3" affiliations="1">
			<name>J. P. Burrows</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>H. Bovensmann</name>
		</author>
		<author numeration="5" affiliations="2">
			<name>P. Bergamaschi</name>
		</author>
		<author numeration="6" affiliations="3">
			<name>W. Peters</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Institute for Environment and Sustainability (IES), European Commission Joint Research Centre (EC-JRC), Ispra, Italy</affiliation>
		<affiliation numeration="3" content_type="html">Department of Meteorology and Air Quality, Wageningen University and Research Centre (WUR), Wageningen, The Netherlands</affiliation>
	</affiliations>
	<abstract content_type="html">Carbon dioxide (CO&lt;sub&gt;2&lt;/sub&gt;) and methane (CH&lt;sub&gt;4&lt;/sub&gt;) are the two most
important anthropogenic greenhouse gases. SCIAMACHY on
ENVISAT is the first satellite instrument whose
measurements are sensitive to concentration changes of the
two gases at all altitude levels down to the Earth&apos;s surface
where the source/sink signals are largest.
We have processed three years (2003&amp;ndash;2005) of SCIAMACHY near-infrared nadir measurements to
simultaneously retrieve vertical columns of CO&lt;sub&gt;2&lt;/sub&gt;
(from the 1.58 μm absorption band),
CH&lt;sub&gt;4&lt;/sub&gt; (1.66 μm) and oxygen (O&lt;sub&gt;2&lt;/sub&gt; A-band at 0.76 μm) using the scientific
retrieval algorithm WFM-DOAS.
We show that the latest version
of WFM-DOAS, version 1.0, which is used for this study, has
been significantly improved with respect to its accuracy
compared to the previous versions while essentially maintaining
its high processing speed
(~1 min per orbit, corresponding to ~6000 single measurements,
and per gas on a standard PC).
The greenhouse gas columns
are converted to dry air column-averaged mole fractions, denoted XCO&lt;sub&gt;2&lt;/sub&gt; (in ppm)
and XCH&lt;sub&gt;4&lt;/sub&gt; (in ppb), by dividing the greenhouse gas columns by
simultaneously retrieved dry air columns.
For XCO&lt;sub&gt;2&lt;/sub&gt; dry air columns are obtained
from the retrieved O&lt;sub&gt;2&lt;/sub&gt; columns.
For XCH&lt;sub&gt;4&lt;/sub&gt; dry air columns are obtained
from the retrieved CO&lt;sub&gt;2&lt;/sub&gt; columns because of better cancellation
of light path related errors compared to using O&lt;sub&gt;2&lt;/sub&gt; columns retrieved from the
spectrally distant O&lt;sub&gt;2&lt;/sub&gt; A-band.
Here we focus on a discussion of the XCH&lt;sub&gt;4&lt;/sub&gt;
data set. The XCO&lt;sub&gt;2&lt;/sub&gt; data set is discussed in a separate paper (Part 1).
For 2003 we present detailed comparisons with the TM5 model which
has been optimally matched to highly accurate but sparse
methane surface observations.
After accounting for a systematic low bias of ~2%
agreement with TM5 is typically within 1&amp;ndash;2%.
We investigated to what extent the SCIAMACHY XCH&lt;sub&gt;4&lt;/sub&gt; is influenced by the variability of
atmospheric CO&lt;sub&gt;2&lt;/sub&gt; using global CO&lt;sub&gt;2&lt;/sub&gt; fields from NOAA&apos;s CO&lt;sub&gt;2&lt;/sub&gt; assimilation
system CarbonTracker. We show that the CO&lt;sub&gt;2&lt;/sub&gt; corrected and
uncorrected XCH&lt;sub&gt;4&lt;/sub&gt; spatio-temporal pattern are very similar but that
agreement with TM5 is better for the
CarbonTracker CO&lt;sub&gt;2&lt;/sub&gt; corrected XCH&lt;sub&gt;4&lt;/sub&gt;.
In line with previous studies (e.g., Frankenberg et al., 2005) we find
significantly higher methane over the tropics compared to the model.
We show that tropical methane is also higher when normalizing
the CH&lt;sub&gt;4&lt;/sub&gt; columns with retrieved O&lt;sub&gt;2&lt;/sub&gt; columns instead of CO&lt;sub&gt;2&lt;/sub&gt;.
Concerning inter-annual variability we find similar methane
spatio-temporal pattern for 2003 and 2004.
For 2005 the retrieved methane shows significantly
higher variability compared to the two previous years,
most likely due to somewhat larger noise of the
spectral measurements.</abstract>
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</article>

