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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>9</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/acpd-9-12027-2009</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/9/12027/2009/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/9/12027/2009/acpd-9-12027-2009.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/9/12027/2009/acpd-9-12027-2009.pdf</fulltext_pdf>
	<start_page>12027</start_page>
	<end_page>12064</end_page>
	<publication_date>2009-05-15</publication_date>
	<article_title content_type="html">Retrieval of cloud liquid water distributions from a single scanning microwave  radiometer aboard a moving platform – Part 1: Field trial results from the Wakasa Bay experiment</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>D. Huang</name>
			<email>dhuang@bnl.gov</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>A. Gasiewksi</name>
		</author>
		<author numeration="3" affiliations="1,3">
			<name>W. Wiscombe</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Brookhaven National Laboratory, Upton, NY 11973, USA</affiliation>
		<affiliation numeration="2" content_type="html">University of Colorado, Boulder, CO 80309, USA</affiliation>
		<affiliation numeration="3" content_type="html">NASA Goddard Space Flight Center (code 913), Greenbelt, MD 20771, USA</affiliation>
	</affiliations>
	<abstract content_type="html">Tomographic methods offer a new promise for retrieving
      three-dimensional distributions of cloud liquid water from
      path-integrated radiometric measurements by passive sensors. A mobile
      cloud tomography system using only a single scanning microwave
      radiometer has many advantages over a fixed system using multiple
      distinctly-located radiometers, e.g., efficient and flexible data
      collection. Part 1 (this paper) examines the results from a limited
      cloud tomography trial carried out during the 2003 AMSR-E validation
      campaign at Wakasa Bay of the Sea of Japan. During the tomographic
      test, the Polarimetric Scanning Radiometer (PSR) and Microwave Imaging
      Radiometer (MIR) aboard the NASA P-3 research aircraft scanned through
      a system of low-level clouds and thus provided a useful dataset for
      testing the cloud tomography method. We conduct three retrieval runs
      with a constrained inversion algorithm using, respectively the PSR,
      MIR, and combined PSR and MSR data. The liquid water paths calculated
      from the PSR retrieval are consistent with that from the MIR
      retrieval. The retrieved cloud field based on the combined data
      appears to be physically plausible and consistent with the cloud image
      obtained by a cloud radar. It is unfortunate that there were no
      in-situ cloud measurements during the experiment that can be
      used to quantitatively validate the tomographic
      retrievals. Nevertheless, we find that some vertically-uniform clouds
      appear at high altitudes in the retrieved fields where the radar image
      shows clear sky. This is likely due to flawed data collection
      geometry, which, in turn, is determined by the radiometer scan
      strategy, and aircraft altitude and moving speed. This sets the stage
      for Part 2 of this study that aims at possible improvements of the
      mobile cloud tomography approach by a group of sensitivity studies
      using observation system simulation experiments.</abstract>
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