• DocumentCode
    2697747
  • Title

    Sea Ice Microwave Emission Process Simulations

  • Author

    Tonboe, Rasmus T. ; Pedersen, Leif Toudal ; Dybkjoer, G.

  • Author_Institution
    Center for Ocean & Ice, Danish Meteorol. Inst., Copenhagen
  • Volume
    5
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Although the sea ice microwave emissivity (e) is well defined in terms brightness temperature (Tb) and integrated physical temperature (Teff) it is very difficult to derive in practice and its link to physical processes in the natural snow and sea ice cover is not understood in detail. Here the microwave emission processes from sea ice are simulated using a 1D-thermodynamic sea ice model, with the European Centre for Medium Range Weather Forecast (ECMWF) reanalysis input, and a microwave emission model. The emission model is a sea ice version of the Microwave Emission Model for Layered Snow-packs (MEMLS). Differences between the emissivity derived from surface temperature measurements (the effective emissivity) and emissivity derived from the integrated physical temperature is discussed. Correlation between different channels between 18 and 183 GHz is computed and it is found that the spectral gradient ratio, GR18/36, is related to the emissivity at 50GHz, e50v.
  • Keywords
    atmospheric temperature; microwaves; ocean temperature; remote sensing; sea ice; 1D thermodynamic sea ice model; ECMWF reanalysis; European Centre for Medium Range Weather Forecast; MEMLS; Microwave Emission Model for Layered Snow-packs; brightness temperature; frequency 18 GHz to 183 GHz; integrated physical temperature; microwave emission process; natural snow; sea ice cover; sea ice microwave emissivity; surface temperature measurement; Atmospheric modeling; Brightness temperature; Ocean temperature; Polarization; Predictive models; Sea ice; Sea surface; Snow; Thermodynamics; Weather forecasting; microwave emission; sea ice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4780104
  • Filename
    4780104