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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-3-237-2010</doi>
	<article_url>http://www.atmos-meas-tech-discuss.net/3/237/2010/</article_url>
	<abstract_html>http://www.atmos-meas-tech-discuss.net/3/237/2010/amtd-3-237-2010.html</abstract_html>
	<fulltext_pdf>http://www.atmos-meas-tech-discuss.net/3/237/2010/amtd-3-237-2010.pdf</fulltext_pdf>
	<start_page>237</start_page>
	<end_page>268</end_page>
	<publication_date>2010-01-26</publication_date>
	<article_title content_type="html">What do satellite backscatter ultraviolet and visible spectrometers see over snow and ice? A study of clouds and ozone using the A-train</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>A. P. Vasilkov</name>
			<email>alexander_vassilkov@ssaihq.com</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>J. Joiner</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>D. Haffner</name>
		</author>
		<author numeration="4" affiliations="2">
			<name>P. K. Bhartia</name>
		</author>
		<author numeration="5" affiliations="3">
			<name>R. J. D. Spurr</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Science Systems and Applications Inc., Lanham, MD, USA</affiliation>
		<affiliation numeration="2" content_type="html">Goddard Space Flight Center, Laboratory for Atmospheres,  Greenbelt, MD, USA</affiliation>
		<affiliation numeration="3" content_type="html">RT Solutions, Cambridge, MA, USA</affiliation>
	</affiliations>
	<abstract content_type="html">In this paper, we examine how clouds over snow and ice affect ozone
      absorption and how these effects may be accounted for in satellite
      retrieval algorithms. Over snow and ice, the Aura Ozone Monitoring
      Instrument (OMI) Raman cloud pressure algorithm derives an effective
      scene pressure. When this scene pressure differs appreciably from the
      surface pressure, the difference is assumed to be caused by a cloud
      that is shielding atmospheric absorption and scattering below
      cloud-top from satellite view. A pressure difference of 100 hPa is
      used as a crude threshold for the detection of clouds that
      significantly shield tropospheric ozone absorption. Combining the OMI
      effective scene pressure and the Aqua MODerate-resolution Imaging
      Spectroradiometer (MODIS) cloud top pressure, we can distinguish
      between shielding and non-shielding clouds.
&lt;br&gt;&lt;br&gt;
      To evaluate this approach, we performed radiative transfer simulations
      under various observing conditions. Using cloud vertical extinction
      profiles from the CloudSat Cloud Profiling Radar (CPR), we find that
      clouds over a bright surface can produce significant shielding (i.e.,
      a reduction in the sensitivity of the top-of-the-atmosphere radiance
      to ozone absorption below the clouds). The amount of shielding
      provided by clouds depends upon the geometry (solar and satellite
      zenith angles) and the surface albedo as well as cloud optical
      thickness. We also use CloudSat observations to qualitatively
      evaluate our approach. The CloudSat, Aqua, and Aura satellites fly in
      an afternoon polar orbit constellation with ground overpass times
      within 15 min of each other.
&lt;br&gt;&lt;br&gt;
      The current Total Ozone Mapping Spectrometer (TOMS) total column ozone
      algorithm (that has also been applied to the OMI) assumes no clouds
      over snow and ice. This assumption leads to errors in the retrieved
      ozone column. We show that the use of OMI effective scene pressures
      over snow and ice reduces these errors and leads to a more homogeneous
      spatial distribution of the retrieved total ozone.</abstract>
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</article>

