• DocumentCode
    2673019
  • Title

    A geophysical model function for windsat polarimetric radiometer wind retrievals using linear polarizations

  • Author

    Soisuvarn, Seubson ; Jelenak, Zorana ; Chang, Paul S.

  • Author_Institution
    NOAA/NESDIS/STAR, Camp Springs
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    2523
  • Lastpage
    2526
  • Abstract
    In this paper, we develop a novel geophysical model function (GMF) for the WindSat radiometer relating the vertically (V-pol) and horizontally (H-pol) polarized brightness temperature (TB) to the ocean surface wind field. The brightness temperature data from the 10,18 and 37 GHz channels were used in this analysis. The brightness temperature combination of the form (AV-H) is found to be mostly independent of the atmospheric variations, where A is a constant number for each frequency. The GMF was developed empirically using the collocated wind vectors from the QuikSCAT scatterometer retrieval as truth and the WindSat´s (AV-H) TB´s. We examined the characteristic of the GMF and explored the opportunity to improve our current WindSat wind direction retrieval that utilizes only 3rd and 4th Stokes measurements, by integrating this GMF. The strength of the wind directional signals is encouraging for moderate wind speed at 8 m/s and higher.
  • Keywords
    atmospheric techniques; polarimetry; radiometers; remote sensing; wind; QuikSCAT scatterometer retrieval; Stokes measurements; WindSat Polarimetric Radiometer; atmospheric variations; frequency 10 GHz; frequency 18 GHz; frequency 37 GHz; geophysical model function; linear polarizations; ocean surface wind field; wind retrievals; wind speed; Brightness temperature; Current measurement; Frequency; Geophysical measurements; Ocean temperature; Polarization; Radar measurements; Radiometry; Sea measurements; Sea surface; Passive Microwave radiometer; geophysical model function; ocean surface wind vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423357
  • Filename
    4423357