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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

1. Introduction Aerosol classification can take many forms. For the purpose of estimating human-induced aerosol radiative forcing estimates, aerosols are broadly classified as anthropogenic (urban/industrial pollution and biomass burning) and natural (desert dust, sea salt, biogenic, and volcanic) aerosols. For example, in estimating aerosol radiative forcing values, the most recent Intergovernmental Panel on Climate Change (IPCC) report ( Solomon et al. 2007 ) not only adopts broad

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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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