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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>2</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/amtd-2-781-2009</doi>
	<article_url>http://www.atmos-meas-tech-discuss.net/2/781/2009/</article_url>
	<abstract_html>http://www.atmos-meas-tech-discuss.net/2/781/2009/amtd-2-781-2009.html</abstract_html>
	<fulltext_pdf>http://www.atmos-meas-tech-discuss.net/2/781/2009/amtd-2-781-2009.pdf</fulltext_pdf>
	<start_page>781</start_page>
	<end_page>824</end_page>
	<publication_date>2009-03-10</publication_date>
	<article_title content_type="html">An improved tropospheric NO&lt;sub&gt;2&lt;/sub&gt; retrieval for satellite observations in the vicinity of mountainous terrain</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>Y. Zhou</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>D. Brunner</name>
			<email>dominik.brunner@empa.ch</email>
		</author>
		<author numeration="3" affiliations="2">
			<name>K. F. Boersma</name>
		</author>
		<author numeration="4" affiliations="2">
			<name>R. Dirksen</name>
		</author>
		<author numeration="5" affiliations="2">
			<name>P. Wang</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Empa, Swiss Federal Lab. for Materials Testing and Research, Dübendorf, Switzerland</affiliation>
		<affiliation numeration="2" content_type="html">Royal Netherlands Meteorological Institute, KNMI, De Bilt, The Netherlands</affiliation>
	</affiliations>
	<abstract content_type="html">We present an approach to reduce topography-related errors of vertical
tropospheric columns (VTC) of NO&lt;sub&gt;2&lt;/sub&gt; retrieved from the Ozone Monitoring
Instrument (OMI) in the vicinity of mountainous terrain. This is crucial for
reliable estimates of air pollution levels over our particular area of
interest, the Alpine region and the adjacent planes, where the operational
OMI products exhibit significant biases due to the coarse resolution of
surface parameters used in the retrieval. Our approach replaces the
coarse-gridded surface pressures by accurate pixel-average values using a
high-resolution topography data set, and scales the a priori NO&lt;sub&gt;2&lt;/sub&gt;
profiles accordingly. NO&lt;sub&gt;2&lt;/sub&gt; VTC reprocessed in this way for the period
2006–2007 suggest that the current Dutch OMI NO&lt;sub&gt;2&lt;/sub&gt; product (DOMINO)
underestimates NO&lt;sub&gt;2&lt;/sub&gt; over the Po Valley in Italy and over the Swiss
plateau by about 20% in winter and 5% in summer under clear-sky
conditions (cloud radiance fraction &amp;lt;0.5). A sensitivity analysis shows
that these seasonal differences are mainly due to the different a priori
NO&lt;sub&gt;2&lt;/sub&gt; profile shapes and solar zenith angles in winter and summer. The
comparison of NO&lt;sub&gt;2&lt;/sub&gt; columns from the original and the enhanced retrieval
with corresponding columns deduced from ground-based in situ observations
over the Swiss plateau and the Po Valley illustrates the promise of our new
retrieval. It partially reduces the underestimation of the OMI VTCs at
polluted sites in winter and fall and generally improves the agreement in
terms of slope and correlation at rural stations. It does not solve,
however, the issue that the OMI DOMINO product tends to overestimate very
low columns observed at rural sites in spring and summer.</abstract>
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</article>

