• DocumentCode
    2697752
  • Title

    Analysis of WindSat Data over Arctic Sea Ice

  • Author

    Narvekar, Parag S. ; Heygster, Georg ; Tonboe, Rasmus ; Jackson, Thomas J.

  • Author_Institution
    Inst. of Environ. Phys., Univ. of Bremen, Bremen
  • Volume
    5
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The radiation of the 3rd and 4th Stokes components emitted by Arctic sea ice and observed by the spaceborne fully polarimetric radiometer WindSat is investigated. Two types of analysis are carried out, spatial (maps of different quadrants of azimuth look angles) and temporal (time series of daily averages over small selected ranges of azimuth angles). The 3rd Stokes component at 37 GHz has shown the highest signal during early summer (Gt2 K). The next highest signals were observed at the 10.7 GHz 3rd and 4th Stokes components during the summer months (Gt1 K). The 37 GHz 4th Stokes component has shown the least variability (Lt1 K). The 10.7 GHz 4th Stokes component has higher signal at the ice edge, confirmed from the sea ice concentration maps derived from Advanced Microwave Scanning Radiometer (AMSR-E) data, and similar to signals observed over global coastlines. From the comparison with near surface air temperature of the European Center for Medium-Range Weather Forecasts (ECMWF) model data and Scanning Multichannel Microwave/Imager (SSM/I) NASA Team ice concentrations it was concluded that the microphysical processes during early melting in the topmost sea ice layers are responsible for the high 37 GHz 3rd Stokes signal.
  • Keywords
    radar polarimetry; radiometers; remote sensing by radar; sea ice; spaceborne radar; 3rd Stokes component; 4th Stokes component; AMSR-E data; Advanced Microwave Scanning Radiometer; Arctic sea ice; ECMWF model; SSM/I NASA Team; Scanning Multichannel Microwave/Imager; WindSat data; polarimetric radiometer; spaceborne radiometer; Arctic; Azimuth; Data analysis; Ice surface; Microwave radiometry; Ocean temperature; Sea ice; Sea surface; Time series analysis; Weather forecasting;
  • 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.2008.4780105
  • Filename
    4780105