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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-10-6685-2010</article-id>
<title-group>
<article-title>Tomographic retrieval of cloud liquid water fields from a single scanning microwave radiometer aboard a moving platform – Part 1: Field trial results from the Wakasa Bay experiment</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Huang</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gasiewski</surname>
<given-names>A. J.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wiscombe</surname>
<given-names>W.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Brookhaven National Laboratory, Upton, NY 11973, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>University of Colorado, Boulder, CO 80309, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>NASA Goddard Space Flight Center (code 913), Greenbelt, MD 20771, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>22</day>
<month>07</month>
<year>2010</year>
</pub-date>
<volume>10</volume>
<issue>14</issue>
<fpage>6685</fpage>
<lpage>6697</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.atmos-chem-phys.net/10/6685/2010/acp-10-6685-2010.html">This article is available from http://www.atmos-chem-phys.net/10/6685/2010/acp-10-6685-2010.html</self-uri>
<self-uri xlink:href="http://www.atmos-chem-phys.net/10/6685/2010/acp-10-6685-2010.pdf">The full text article is available as a PDF file from http://www.atmos-chem-phys.net/10/6685/2010/acp-10-6685-2010.pdf</self-uri>
<abstract>
<p>Tomographic methods offer great potential for retrieving three-dimensional
spatial distributions of cloud liquid water from radiometric observations by
passive microwave sensors. Fixed tomographic systems require multiple
radiometers, while mobile systems can use just a single radiometer. Part 1
(this paper) examines the results from a limited cloud tomography trial with
a single-radiometer airborne system carried out as part of the 2003 AMSR-E
validation campaign over Wakasa Bay of the Sea of Japan. During this trial,
the Polarimetric Scanning Radiometer (PSR) and Microwave Imaging Radiometer
(MIR) aboard the NASA P-3 research aircraft provided a useful dataset for
testing the cloud tomography method over a system of low-level clouds. We do
tomographic retrievals with a constrained inversion algorithm using three
configurations: PSR, MIR, and combined PSR and MIR data. The liquid water
paths from the PSR retrieval are consistent with those 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. We find that some vertically-uniform clouds appear at high altitudes
in the retrieved field where the radar shows clear sky. This is likely due to
the sub-optimal data collection strategy. This sets the stage for Part 2 of
this study that aims to define optimal data collection strategies using
observation system simulation experiments.</p>
</abstract>
<counts><page-count count="13"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple"> % vor jede Referenz Acar, R. and Vogel, C. R.: Analysis of total variation penalty methods, Inv. Prob., 10, 1217–1229, 1994. </mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple"> Albrecht, B. A., Fairall, C. W., Thomson, D. W., White, A. B., Snider, J. B., and Schubert, W. H.: Surface-based remote sensing of the observed and the adiabatic liquid water content of stratocumulus clouds, Geophys. Res. Lett., 17, 89–92, 1990. </mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple"> Andersen, A. H. and Kak, A. C.: Simultaneous algebraic reconstruction technique (SART): A superior implementation of the ART algorithm, Ultrason. Imag., 6, 81–94, 1984. </mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple"> Chambolle, A. and Lions, P. L.: Image recovery via total variation minimization and related problems, Numer. Math., 72, 167–188, 1997. </mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple"> Corbella, I., Gasiewski, A. J., Klein, M., Leuski, V., Francavilla, A. J., and Piepmeier, J. R.: On-board Accurate Calibration of Dual-Channel Radiometers Using Internal and External References, IEEE Trans. Microwave Theory Tech., 50, 1816–1820, 2002. </mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple"> Frisch, A. S., Fairall, C. W., and Snyder, J. B.: Measurement of stratus cloud and drizzle parameters in ASTEX with a Ka-band Doppler radar and a microwave radiometer, J. Atmos. Sci., 52, 2788–2799, 1995. </mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple"> Gordon, R., Bender, R., and Herman, G. T.: Algebraic Reconstruction Techniques (ART) for Three-dimensional Electron Microscopy and X-ray Photography, J. Theor. Biol., 29, 471–481, 1970. </mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple"> Hansen, P. C.: Rank deficient and ill-posed problems: Numerical aspects of linear inversion, SIAM, Philadelphia, 247~pp., 1998. </mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple"> Huang, D., Liu, Y., and Wiscombe, W.: Determination of cloud liquid water distribution using 3D cloud tomography, J. Geophys. Res., 113, D13201, doi:10.1029/2007JD009133, 2008a. </mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple"> Huang, D., Liu, Y., and Wiscombe, W.: Cloud tomography: Role of constraints and a new algorithm, J. Geophys. Res.-Atmos., 113, D23203, doi:10.1029/2008JD009952, 2008. </mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple"> Huang, D., Gasiewski, A., and Wiscombe, W.: Tomographic retrieval of cloud liquid water fields from a single scanning microwave radiometer aboard a moving platform – Part~2: Observation system simulation experiments, Atmos. Chem. Phys., 10, 6699–6709, doi:10.5194/acp-10-6699-2010, 2010.  </mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple"> Johnson, J. T.: An efficient two-scale model for the computation of thermal emission and atmospheric reflection from the sea surface, IEEE T. Geosci. Remote., 44, 560–568, 2006. </mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple"> Lobl, S. E., Aonashi, K., Griffith, B., Kummerow, C., Liu, G., Murakami, M., and Wilheit, T.: Wakasa Bay – An AMSR Precipitation Validation Campaign, B. Am. Meteorol. Soc., 88, 551–558, 2007. </mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple"> Miller, M. A., Jensen, M. P., and Clothiaux, E. E.: Diurnal cloud and thermodynamic variations in the stratocumulus transition regime: A case study using in situ and remote sensors, J. Atmos. Sci., 55, 2294–2310, 1998. </mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple"> Padmanabhan, S., Reising, S. C., Vivekanandan, J., and Iturbide-Sanchez, F.: Retrieval of atmospheric water vapor density with fine spatial resolution using 3-D tomographic inversion of microwave brightness temperatures measured by a network of scanning compact radiometers, IEEE T. Geosci. Remote, 47, 3708–3721, 2009. </mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple"> Piepmeier, J. R. and Gasiewski, A. J.: Polarimetric scanning radiometer for airborne microwave imaging studies, Proceedings of International Geoscience and Remote Sensing Symposium, Lincoln, 1688–1691, 1961. </mixed-citation>
</ref>
<ref id="ref17">
<label>17</label><mixed-citation publication-type="other" xlink:type="simple"> Racette, P. E., Adler, R. F., Wang, J. R., Gasiewski, A., Jackson, D. M., and Zacharias, D. S.: An Airborne Millimeter Wave Imaging Radiometer for Cloud, Precipitation, and Atmospheric Water Vapor Studies, J. Atmos. Ocean. Tech., 13, 610–619, 1996. </mixed-citation>
</ref>
<ref id="ref18">
<label>18</label><mixed-citation publication-type="other" xlink:type="simple"> Ramanathan, V., Cess, R., Harrison, E., Minnis, P., Barkstrom, B., Ahmad, A., and Hartmann, D.: Cloud-Radiative Forcing and Climate: Results from the Earth Radiation Budget Experiment, Science, 243, 57–63, 1989. </mixed-citation>
</ref>
<ref id="ref19">
<label>19</label><mixed-citation publication-type="other" xlink:type="simple"> Rosenkranz, P. W.: Water vapor microwave continuum absorption: A comparison of measurements and models, Radio Sci., 33(4), 919–928, doi:10.1029/98RS01182, 1998. </mixed-citation>
</ref>
<ref id="ref20">
<label>20</label><mixed-citation publication-type="other" xlink:type="simple"> Sadowy, G., McIntosh, R., Dinardo, S., Durden, S., Edelstein, W., Li, F., Tanner, A., Wilson, W., Schneider, T., and Stephens, G.: The NASA DC-8 airborne cloud radar: Design and preliminary results, Proceedings of International Geoscience and Remote Sensing Symposium, Singapore, 1997. </mixed-citation>
</ref>
<ref id="ref21">
<label>21</label><mixed-citation publication-type="other" xlink:type="simple"> Sezan, M. I. and Stark, H.: Image Restoration by the Method of Convex Projections: Part 2 – Applications and Numerical Results, IEEE Transaction on Medical Imaging, MI-1, 95–101, 1982. </mixed-citation>
</ref>
<ref id="ref22">
<label>22</label><mixed-citation publication-type="other" xlink:type="simple"> Sezan, M. I. and Stark, H.: Image restoration by convex projections in the presence of noise, Appl. Optics, 22, 2781–2789, 1983. </mixed-citation>
</ref>
<ref id="ref23">
<label>23</label><mixed-citation publication-type="other" xlink:type="simple"> Sidky, E. Y. and Pan, X.: Image reconstruction in circular cone-beam computed tomography by constrained total-variation minimization, Phys. Med. Biol., 53, 4777–4807, 2008. </mixed-citation>
</ref>
<ref id="ref24">
<label>24</label><mixed-citation publication-type="other" xlink:type="simple"> Strong, D. and Chan, T. F.: Edge-preserving and scale-dependent properties of the total variation regularization, Inverse Problems, 19, 165–187, 2003. </mixed-citation>
</ref>
<ref id="ref25">
<label>25</label><mixed-citation publication-type="other" xlink:type="simple"> Twomey, S.: Introduction to the mathematics of inversion in remote sensing inversion and indirect measurements, Elsevier, Amsterdam, 243~pp., 1997. </mixed-citation>
</ref>
<ref id="ref26">
<label>26</label><mixed-citation publication-type="other" xlink:type="simple"> Wang, J., Racette, P., Austin, R. T., Liu, G. S., and Sekelsky, S. M.: Remote Measurements of Snowfalls in Wakasa Bay, Japan with Airborne Millimeter-wave Imaging Radiometer and Cloud Radar, Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Anchorage, Alaska, 2004. </mixed-citation>
</ref>
<ref id="ref27">
<label>27</label><mixed-citation publication-type="other" xlink:type="simple"> Warner, J., Drake, J. F., and Krehbiel, P. R.: Determination of cloud liquid water distribution by inversion of radiometric data, J. Atmos. Ocean. Tech., 2, 293–303, 1985. </mixed-citation>
</ref>
<ref id="ref28">
<label>28</label><mixed-citation publication-type="other" xlink:type="simple"> Warner, J., Drake, J. F., and Snider, J. B.:: Liquid water distribution obtained from coplanar scanning radiometers, J. Atmos. Ocean. Tech., 3, 542–546, 1986. </mixed-citation>
</ref>
<ref id="ref29">
<label>29</label><mixed-citation publication-type="other" xlink:type="simple"> Youla, D. C. and Webb, H.: Image restoration by the method of convex projections: Part 1 – Theory, IEEE Transaction on Medical Imaging, MI-1, 81–94, 1982. </mixed-citation>
</ref>
</ref-list>
</back>
</article>