• DocumentCode
    86507
  • Title

    Methodology and Information Content of the NOAA NESDIS Operational Channel Selection for the Cross-Track Infrared Sounder (CrIS)

  • Author

    Gambacorta, Antonia ; Barnet, C.D.

  • Author_Institution
    IM Syst. Group, NOAA/NESDIS, Camp Springs, MD, USA
  • Volume
    51
  • Issue
    6
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    3207
  • Lastpage
    3216
  • Abstract
    The Cross-track Infrared Sounder (CrIS) was launched on October 28, 2011 aboard the Suomi National Polar-orbiting Partnership platform and is scheduled to become operational in 2012. The purpose of this paper is to describe the National Oceanic and Atmospheric Administration/National Environmental Satellite and Information Service (NOAA/NESDIS) channel selection methodology applied to the CrIS instrument and to present the main spectral characteristics of the final channel subset that will be operationally distributed to the scientific community for near-real-time data assimilation and retrieval applications. We perform an information content analysis and show that this selection, composed of 399 channels, is capable of fully representing the total atmospheric variability contained in the original 1305-channel spectrum, up to instrumental noise. These results ensure that the replacement of the full 1305-channel list in favor of the proposed 399-channel selection will have no detrimental effects on data assimilation and retrieval performance.
  • Keywords
    data assimilation; geophysical techniques; infrared imaging; remote sensing; AD 2011 10 28; AD 2012; CrIS; Cross-Track Infrared Sounder; NOAA NESDIS Operational Channel Selection; NOAA/NESDIS channel selection methodology; National Oceanic and Atmospheric Administration/National Environmental Satellite and Information Service; Suomi National Polar-orbiting Partnership platform; final channel subset; information content analysis; instrumental noise; near-real-time data assimilation; retrieval applications; retrieval performance; total atmospheric variability; Gases; Instruments; Noise; Sensitivity analysis; Temperature sensors; US Government agencies; Information content; spectral channel selection; variance explained;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2220369
  • Filename
    6375806