• DocumentCode
    962296
  • Title

    Optical thickness of tropical cirrus clouds derived from the MODIS 0.66and 1.375-μm channels

  • Author

    Meyer, Kerry ; Yang, Ping ; Bo-Cai Gao

  • Author_Institution
    Dept. of Atmos. Sci., Texas A&M Univ., College Station, TX, USA
  • Volume
    42
  • Issue
    4
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    833
  • Lastpage
    841
  • Abstract
    In this paper, we introduce a method to retrieve the optical thickness of tropical cirrus clouds using the isolated visible cirrus reflectance (without atmospheric and surface effects). The isolated cirrus reflectance is inferred from level 1b calibrated 0.66- and 1.375-μm Moderate Resolution Imaging Spectroradiometer (MODIS) data. We created an optical properties database and optical thickness lookup library using previously calculated single-scattering data in conjunction with the discrete ordinates radiative transfer (DISORT) code. An algorithm was constructed based on this lookup library to infer the optical thickness of tropical cirrus clouds for each pixel in a MODIS image. We demonstrate the applicability of this algorithm using several independent MODIS images from the Terra satellite. The present method is complimentary to the MODIS operational cloud retrieval algorithm for the case of cirrus clouds.
  • Keywords
    atmospheric optics; atmospheric techniques; clouds; radiative transfer; remote sensing; 0.66 micron; 1.375 micron; DISORT code; MODIS data; MODIS image pixel; MODIS operational cloud retrieval algorithm; Moderate Resolution Imaging Spectroradiometer; Terra satellite; discrete ordinates radiative transfer; isolated visible cirrus reflectance; optical properties database; optical thickness lookup library; remote sensing; single-scattering data; tropical cirrus clouds; Clouds; Libraries; MODIS; Optical feedback; Optical scattering; Optical sensors; Reflectivity; Remote sensing; Satellites; Sea measurements;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2003.818939
  • Filename
    1288377