• DocumentCode
    3604482
  • Title

    CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation

  • Author

    Ghazi, Zoubair ; Jones, W. Linwood ; Jacob, Maria Marta ; Santos-Garcia, Andrea ; Bruscantini, Cintia A.

  • Author_Institution
    Central FL Remote Sensing Lab, University of Central Florida, Orlando, FL, USA
  • Volume
    8
  • Issue
    12
  • fYear
    2015
  • Firstpage
    5450
  • Lastpage
    5461
  • Abstract
    The Aquarius/SAC-D, International Earth Science Satellite Mission, is a collaboration between NASA and the Argentine Space Agency (Comisión Nacional de Actividades Espaciales, CONAE) that was launched on June 10, 2011 to provide scientists with monthly global maps of sea surface salinity (SSS) to understand the Earth’s hydrological cycle and to investigate global climate change. This paper concerns the microwave radiometer (MWR), a CONAE science instrument developed to provide simultaneous and spatially collocated environmental measurements that complement the prime L-band radiometer/scatterometer sensor (Aquarius) for measuring SSS. MWR is a 3-channel (23.8-GHz H-pol and 36.5-GHz V- and H-pol) passive microwave instrument that measures the Earth’s brightness temperature (Tb). This paper describes the MWR counts to Tb algorithm (V6.0) and presents results of the on-orbit Tb validation using intersatellite radiometric calibration with the Naval Research Laboratory’s WindSat (WS) satellite radiometer. In addition, an alternative MWR counts to Tb algorithm (V7.0) is presented that normalizes the MWR Tbs to WS. This latter version (V7.0) has the advantage of removing MWR time-varying radiometric calibration biases between antenna beams and channels as verified by on-orbit comparisons with WS.
  • Keywords
    Algorithm design and analysis; Antenna measurements; Calibration; Microwave radiometry; Receivers; Temperature measurement; Aquarius/SAC-D; Dicke microwave radiometer (MWR); nonlinearity;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2015.2460673
  • Filename
    7194745