• DocumentCode
    34491
  • Title

    Comparing Calibrations of Similar Conically Scanning Window-Channel Microwave Radiometers

  • Author

    Wilheit, T.T.

  • Author_Institution
    Dept. of Atmos. Sci., Texas A&M Univ., Hendersonville, NC, USA
  • Volume
    51
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    1453
  • Lastpage
    1464
  • Abstract
    The Global Precipitation Measuring Mission requires the ability to compare the calibrations of similar, but not identical, orbiting microwave radiometers. A fitting algorithm has been developed which adjusts a set of geophysical parameters to match the radiances of a source sensor. The adjusted parameters are then used to compute the radiances for a target sensor. For comparison purposes, a simple (weather forecast) analysis-based algorithm has also been implemented. The algorithms have been tested on two pairs of sensors, TMI/Windsat and TMI/AMSR-E. The differences in the results between the two algorithms are generally small. The contribution of various error sources has also been evaluated. The error analysis suggests similar quality for both algorithms. A comparison of the observed variability in the differences between the two sensors in each pair shows very similar variability for the TMI/AMSR-E pair as for the TMI/Windsat pair. It is also shown that the fitting algorithm partially compensates for shortcomings in the radiative transfer models by introducing spurious correlations among the retrieved parameters.
  • Keywords
    atmospheric measuring apparatus; atmospheric techniques; calibration; error analysis; radiative transfer; radiometers; radiometry; sensors; Global Precipitation Measuring Mission; TMI/AMSR-E pair; TMI/AMSR-E sensor; TMI/Windsat pair; TMI/Windsat sensor; analysis-based algorithm; calibrations; conically scanning window-channel microwave radiometers; error analysis; error sources; fitting algorithm; geophysical parameters; orbiting microwave radiometers; radiative transfer models; source sensor; target sensor; weather forecast; Algorithm design and analysis; Calibration; Clouds; Educational institutions; Ocean temperature; Radiometers; Uncertainty; Calibration; microwave radiometry; oceans; satellites; terrestrial atmosphere;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2207122
  • Filename
    6276252