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    Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products

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    Name:
    Zhang_et_al-2017-Journal_of_Ge ...
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    Author
    Zhang, Zhibo cc
    Dong, Xiquan cc
    Xi, Baike cc
    Song, Hua cc
    Ma, Po-Lun cc
    Ghan, Steven J. cc
    Platnick, Steven cc
    Minnis, Patrick cc
    Affiliation
    Univ Arizona, Dept Hydrol & Atmospher Sci
    Issue Date
    2017-02-27
    
    Metadata
    Show full item record
    Publisher
    AMER GEOPHYSICAL UNION
    Citation
    Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products 2017, 122 (4):2351 Journal of Geophysical Research: Atmospheres
    Journal
    Journal of Geophysical Research: Atmospheres
    Rights
    ©2017. American Geophysical Union. All Rights Reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    From April 2009 to December 2010, the Department of Energy Atmospheric Radiation Measurement (ARM) program carried out an observational field campaign on Graciosa Island, targeting the marine boundary layer (MBL) clouds over the Azores region. In this paper, we present an intercomparison of the MBL cloud properties, namely, cloud liquid water path (LWP), cloud optical thickness (COT), and cloud-droplet effective radius (CER), among retrievals from the ARM mobile facility and two Moderate Resolution Imaging Spectroradiometer (MODIS) cloud products (Goddard Space Flight Center (GSFC)-MODIS and Clouds and Earth's Radiant Energy System-MODIS). A total of 63 daytime single-layer MBL cloud cases are selected for intercomparison. Comparison of collocated retrievals indicates that the two MODIS cloud products agree well on both COT and CER retrievals, with the correlation coefficient R>0.95, despite their significant difference in spatial sampling. In both MODIS products, the CER retrievals based on the 2.1 mu m band (CER2.1) are significantly larger than those based on the 3.7 mu m band (CER3.7). The GSFC-MODIS cloud product is collocated and compared with ground-based ARM observations at several temporal-spatial scales. In general, the correlation increases with more precise collocation. For the 63 selected MBL cloud cases, the GSFC-MODIS LWP and COT retrievals agree reasonably well with the ground-based observations with no apparent bias and correlation coefficient R around 0.85 and 0.70, respectively. However, GSFC-MODIS CER3.7 and CER2.1 retrievals have a lower correlation (R similar to 0.5) with the ground-based retrievals. For the 63 selected cases, they are on average larger than ground observations by about 1.5 mu m and 3.0 mu m, respectively. Taking into account that the MODIS CER retrievals are only sensitive to cloud top reduces the bias only by 0.5 mu m.
    Note
    6 month embargo; First published: 17 February 2017
    ISSN
    2169897X
    DOI
    10.1002/2016JD025763
    Version
    Final published version
    Sponsors
    Department of Energy (DOE) Regional & Global Climate Modeling Program [DE-SC0014641]; U.S. National Science Foundation through the MRI program [CNS-0821258, CNS-1228778]; U.S. National Science Foundation through the SCREMS program [DMS-0821311]
    Additional Links
    http://doi.wiley.com/10.1002/2016JD025763
    ae974a485f413a2113503eed53cd6c53
    10.1002/2016JD025763
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