• DocumentCode
    3024393
  • Title

    Sea surface salinity roughness correction at L-band for Aquarius instrument

  • Author

    Jones, W. Linwood ; Hejazin, Yazan ; El-Nimri, Salem

  • Author_Institution
    EECS Dept., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    660
  • Lastpage
    663
  • Abstract
    Aquarius/SAC-D is a joint NASA/CONAE (Argentine Space Agency) Earth Science satellite mission to measure the global sea surface salinity (SSS). The prime remote sensor is an L-band microwave radiometer to measure ocean blackbody emission (brightness temperature, Tb), which depends upon the sea surface temperature and SSS. The application of L-band radiometry to measure SSS is a difficult task, and there are many Tb corrections that must be made correctly to obtain accurate SSS data. One of the major error sources is the effect of ocean roughness that “warms” the ocean Tb. The Aquarius baseline approach uses the coincident radar scatterometer to provide this ocean roughness correction through the correlation of radar backscatter with the excess ocean emissivity without directly measuring the surface wind speed. This paper provides an alternative approach using a theoretical Radiative Transfer Model (RTM) driven by numerical weather forecast model for ocean surface wind vector. The theoretical basis of our algorithm is described and results are compared with the AQ baseline scatterometer method.
  • Keywords
    ocean temperature; remote sensing by laser beam; salinity (geophysical); weather forecasting; wind; AQ baseline scatterometer method; Aquarius baseline approach; Aquarius-SAC-D instrument; Argentine Space Agency; L-band microwave radiometer; L-band radiometry application; NASA-CONAE Earth Science satellite mission; global sea surface salinity; numerical weather forecast model; ocean blackbody emission; ocean surface wind vector; radar backscatter; sea surface salinity roughness correction; sea surface temperature; theoretical radiative transfer model; Ocean temperature; Rough surfaces; Sea measurements; Sea surface; Surface roughness; Wind speed; Aquarius; ocean roughness correction; remote sensing; salinity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721243
  • Filename
    6721243