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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>10</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/acpd-10-1221-2010</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/10/1221/2010/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/10/1221/2010/acpd-10-1221-2010.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/10/1221/2010/acpd-10-1221-2010.pdf</fulltext_pdf>
	<start_page>1221</start_page>
	<end_page>1259</end_page>
	<publication_date>2010-01-18</publication_date>
	<article_title content_type="html">Testing remote sensing on artificial observations: impact of drizzle and 3-D cloud structure on effective radius retrievals</article_title>
	<authors>
		<author numeration="1" affiliations="1,4">
			<name>T. Zinner</name>
			<email>tobias.zinner@lmu.de</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>G. Wind</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>S. Platnick</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>A. S. Ackerman</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Deutsches Zentrum für Luft- und Raumfahrt (DLR),  Oberpfaffenhofen, Germany</affiliation>
		<affiliation numeration="2" content_type="html">NASA Goddard Space Flight Center, Greenbelt, USA</affiliation>
		<affiliation numeration="3" content_type="html">NASA Goddard Institute for Space Studies, New York, USA</affiliation>
		<affiliation numeration="4" content_type="html">now at: Meteorological Institute, Ludwig-Maximilians-Universität, München, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Remote sensing of cloud effective particle size with passive sensors
like the Moderate Resolution Imaging Spectroradiometer (MODIS) is an
important tool for cloud microphysical studies. As a measure of the
radiatively relevant droplet size, effective radius can be retrieved
with different combinations of visible through shortwave and midwave
infrared channels. In practice, retrieved effective radii from these
combinations can be quite different. This difference is perhaps
indicative of different penetration depths and path lengths for the
spectral reflectances used. In addition, operational liquid water
cloud retrievals are based on the assumption of a relatively narrow
      distribution of droplet sizes; the role of larger precipitation
      particles in these distributions is neglected. Therefore, possible
      explanations for the discrepancy in some MODIS spectral size
      retrievals could include 3-D radiative transport effects, including
      sub-pixel cloud inhomogeneity, and/or the impact of drizzle formation.
&lt;br&gt;&lt;br&gt;
      The possible factors of influence are isolated and investigated in
      detail by the use of simulated cloud scenes and synthetic satellite
      data: marine boundary layer cloud scenes from large eddy simulations
      (LES) with detailed microphysics are combined with Monte Carlo
      radiative transfer calculations that explicitly account for the
      detailed droplet size distributions as well as 3-D radiative transfer
      to simulate MODIS observations. The operational MODIS optical
      thickness and effective radius retrieval algorithm is applied to these
      and the results are compared to the given LES microphysics.
&lt;br&gt;&lt;br&gt;
      We investigate two types of marine cloud situations each with and
      without drizzle from LES simulations: (1) a typical daytime
      stratocumulus deck at two times in the diurnal cycle and (2) one scene
      with scattered cumulus. Only small impact of drizzle formation on the
      retrieved domain average and on the differences between the three
      effective radius retrievals is noticed for both cloud scene types for
      different reasons. For the presumably typical overcast stratocumulus
      scenes, the optical thickness (8 to 9) is large enough to mask the
      drizzle rain rates at cloud bottom (up to 0.05 mm/h). The cumulus
      scene does not show much drizzle sensitivity either despite extended
      drizzle areas being directly visible from above (locally &amp;gt;1 mm/h), 
which is mainly due to characteristics of the standard
retrieval approach. 3-D effects, on the other hand, produce large
      discrepancies between the 1.6 and 2.1 &amp;mu;m channel
      observations compared to 3.7 &amp;mu;m retrievals in the latter
      case. A general sensitivity of MODIS particle size data to drizzle
      formation is not corroborated by our results.</abstract>
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</article>

