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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

models described in section 3 , the OMI models are derived mainly from measurements of the Aerosol Robotic Network (AERONET) sun photometer observations ( Holben et al. 1998 ). The MODIS aerosol algorithms use multiwavelength radiances along with the scattering angle to determine dust and nondust aerosol types and the fine-mode fraction of the total optical thickness ( Remer et al. 2005 ). The MODIS collection 05 products are derived from four fine modes and five coarse modes over the ocean. These

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Zhaoyan Liu, Mark Vaughan, David Winker, Chieko Kittaka, Brian Getzewich, Ralph Kuehn, Ali Omar, Kathleen Powell, Charles Trepte, and Chris Hostetler

optical thickness was observed, extending from ∼39°N all the way to the right-hand-side end of the images at ∼7.4°N. This dust layer is easily identified from the depolarization ratio measurement (green–yellow–orange colors in the middle panel of Fig. 6 ). Dust aerosol can be well distinguished from other aerosol types based on a test on the volume depolarization ratio using a threshold of 0.06 ( Liu et al. 2008a ). Vertically, this dust layer extends from the surface up to several kilometers (>5 km

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Stuart A. Young and Mark A. Vaughan

scene classification algorithms (SCAs) that differentiates between the various types of clouds and aerosols, and HERA, which is responsible for retrieving the optical properties of all layers detected. The operation of all three components relies on a nested, multigrid averaging scheme initially incorporated into the feature-finder module. As the SNRs of all but the strongest features are usually too low to permit their detection in single profiles, varying numbers of consecutive profiles are

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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

spatial and optical properties for features detected at the ⅓-km resolution are separately recorded in the CALIOP data products. Unlike the searches at all other SIBYL resolutions, the ⅓-km scan is no longer looking for features of all types but is instead devoted solely to the detection of clouds and surface returns. To guard against the inclusion of aerosol layers in the ⅓-km results, an additional term is added to the search threshold. In the attenuated scattering ratio regime, the augmented

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