• DocumentCode
    1850211
  • Title

    Comparison of multiple layer snow emission models

  • Author

    Lemmetyinen, J. ; Kontu, A. ; Rees, A. ; Derksen, C. ; Pulliainen, J.

  • Author_Institution
    Arctic Res. Centre, Finnish Meteorol. Inst., Sodankyla, Finland
  • fYear
    2010
  • fDate
    1-4 March 2010
  • Firstpage
    99
  • Lastpage
    103
  • Abstract
    Modeling of snow emission at microwave frequencies is necessary in order to understand the relationships between the emitted brightness temperature and snowpack characteristics. Several empirical, semi-empirical and purely theoretical models for this purpose have been developed in recent years. This study compares the performance of two widely used semi-empirical models against experimental datasets of surface based radiometer measurements, coupled with snow stratigraphy observations from several sites in Finland and Canada. The results of the study emphasize the importance of careful inclusion of snow stratigraphy in simulations. Both models used are able to produce the measured brightness temperatures with sufficient accuracy; some differences and trends in modeling errors can be noted. However, using the presented datasets neither of the models perform conclusively better than the other when considering all observed channels.
  • Keywords
    atmospheric temperature; geophysical techniques; radiometry; snow; stratigraphy; Canada; Finland; brightness temperature; microwave frequencies; multiple layer snow emission models; semiempirical models; snow stratigraphy observations; snowpack characteristics; surface based radiometer; Adaptation model; Brightness temperature; Ice; Lenses; Microwave radiometry; Snow; Temperature measurement; emission model; passive microwave; snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2010 11th Specialist Meeting on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-8120-0
  • Electronic_ISBN
    978-1-4244-8121-7
  • Type

    conf

  • DOI
    10.1109/MICRORAD.2010.5559580
  • Filename
    5559580