• Title of article

    Snow grain size retrieval SGSP from optical satellite data: Validation with ground measurements and detection of snow fall events

  • Author/Authors

    Wiebe، نويسنده , , Heidrun and Heygster، نويسنده , , Georg and Zege، نويسنده , , Eleonora and Aoki، نويسنده , , Teruo and Hori، نويسنده , , Masahiro، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    10
  • From page
    11
  • To page
    20
  • Abstract
    The size of snow grains plays an important role for modeling the snow albedo in polar regions. The Snow Grain Size and Pollution (SGSP) retrieval computes the snow grain size using spectral reflectances from the Moderate Imaging Spectrometer (MODIS): the channels at 0.47 μm, 0.86 μm, and 1.24 μm. The unique feature of the SGSP retrieval is that it does not require a-priori information on the snow grain shape. s paper, the SGSP-retrieved snow grain size is validated with six data sets from ground measurement campaigns in the Arctic, the Antarctic, Greenland, and Japan. Almost half of the comparison cases have a difference below 15%; the correlation coefficient is 0.86. The application of the SGSP retrieval on the Antarctic Ross ice shelf demonstrates the potential to detect snow fall events by analyzing the snow grain size time series for sudden grain size decreases.
  • Keywords
    Snow grain size , Satellite , MODIS , Validation , Retrieval
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2013
  • Journal title
    Remote Sensing of Environment
  • Record number

    1632778