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David M. Winker, Mark A. Vaughan, Ali Omar, Yongxiang Hu, Kathleen A. Powell, Zhaoyan Liu, William H. Hunt, and Stuart A. Young

effect of cloud depends strongly on the multilayer structure, yet passive sensors have difficulty retrieving more than a single effective layer. Lidar is able to penetrate high optically thin cloud and profile a large fraction of the atmosphere. There are also limitations in current cloud ice–water phase retrievals from passive satellite sensors. CALIOP provides a vertically resolved measurement of ice–water phase through measurements of the depolarization of the lidar backscatter signal. CALIPSO was

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William H. Hunt, David M. Winker, Mark A. Vaughan, Kathleen A. Powell, Patricia L. Lucker, and Carl Weimer

was built by Alcatel under contract to CNES. The payload combines an active lidar instrument (CALIOP) with passive infrared and visible imagers ( Winker et al. 2003 ). CALIOP is the third lidar launched by NASA to study the earth’s atmosphere from space, having been preceded by the Lidar In-Space Technology Experiment (LITE), launched in September 1994 on STS-64 ( Winker et al. 1996 ), and the Geoscience Laser Altimeter System (GLAS), launched in December 2002 on the Ice, Cloud and Land Elevation

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Ali H. Omar, David M. Winker, Mark A. Vaughan, Yongxiang Hu, Charles R. Trepte, Richard A. Ferrare, Kam-Pui Lee, Chris A. Hostetler, Chieko Kittaka, Raymond R. Rogers, Ralph E. Kuehn, and Zhaoyan Liu

over sea ice, a direct result of pathway 1 in Fig. 2 . The fractions of marine, dust, polluted dust, and smoke layers are all comparable at nearly 20%, with the clean continental at about 10% and the polluted continental at less than 5%. This pattern is repeated for all seasons except MAM, when the dust and polluted dust frequencies dominate, most likely because of Asian dust episodes in the spring ( Darmenova et al. 2005 ; VanCuren et al. 2005 ). 7. Global detection resolutions and aerosol

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Kathleen A. Powell, Chris A. Hostetler, Mark A. Vaughan, Kam-Pui Lee, Charles R. Trepte, Raymond R. Rogers, David M. Winker, Zhaoyan Liu, Ralph E. Kuehn, William H. Hunt, and Stuart A. Young

0 data contain the telemetry data with communication artifacts removed and include both the payload science data and the payload health and status data. The ancillary data products contain the gridded meteorological and ozone fields from the NASA Global Modeling and Assimilation Office (GMAO), satellite attitude and postprocessed ephemeris data from the Centre National d’Études Spatiales (CNES), and maps and ice from the National Snow and Ice Data Center (NSIDC). Several static datasets are also

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Mark A. Vaughan, Kathleen A. Powell, David M. Winker, Chris A. Hostetler, Ralph E. Kuehn, William H. Hunt, Brian J. Getzewich, Stuart A. Young, Zhaoyan Liu, and Matthew J. McGill

algorithms used to discriminate between clouds and aerosols are described in Liu et al. (2009) . The analyses subsequently applied to identify different aerosol types are outlined by Omar et al. (2009) . Similarly, Hu et al. (2009) describe the methods used to determine cloud ice-water phase. SIBYL’s sole contribution to the layer classification task is the high-resolution boundary layer cloud-clearing process described in section 3b . 2. The CALIOP profile scanning engine The profile scanning

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