• DocumentCode
    1388928
  • Title

    Vertical-Homogeneity Assumption Causing Inconsistency Between Visible- and Infrared-Based Cloud Optical Properties

  • Author

    Ham, Seung-Hee ; Sohn, Byung-Ju

  • Author_Institution
    Sch. of Earth & Environ. Sci., Seoul Nat. Univ., Seoul, South Korea
  • Volume
    9
  • Issue
    3
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    531
  • Lastpage
    535
  • Abstract
    A possible cause of radiative inconsistency between visible- and infrared (IR)-based optical properties is examined and corrected for. This study is motivated by significant IR modeling biases of around -7 K found in our previous study. In that study, the model simulation was conducted using cloud optical thickness (COT) and effective radius retrieved from the Moderate-Resolution Imaging Spectroradiometer, and cloud top and base heights measured by CloudSat. For single-layered and relatively optically thick clouds (COT >; 10 ), uncertainties in the COT and effective radius are shown to have a small contribution to the IR modeling biases; making an assumption that the clouds are vertically homogeneous seems to cause most of the IR modeling biases. By creating a cloud extinction profile from the CloudSat data, IR modeling biases are reduced to -2 K instead of - 7 K.
  • Keywords
    atmospheric optics; atmospheric spectra; atmospheric techniques; clouds; radiometry; remote sensing; CloudSat data; IR modeling bias; Moderate-Resolution Imaging Spectroradiometer; base height measurement; cloud effective radius; cloud extinction profile; cloud optical thickness; cloud top height measurement; infrared-based cloud optical property; model simulation; radiative inconsistency; relatively optically thick clouds; single-layered clouds; vertical-homogeneity assumption; visible-based cloud optical property; Atmospheric modeling; Clouds; Ice; Integrated optics; MODIS; Optical sensors; Scattering; Clouds; infrared (IR) measurements; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2011.2173292
  • Filename
    6095315