• DocumentCode
    2105069
  • Title

    The Ocean Algorithm Suite for the Conical-scanning Microwave Imaging/Sounder (CMIS)

  • Author

    Meissner, Thomas ; Wentz, Frank

  • Author_Institution
    Remote Sensing Syst., Santa Rosa, CA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    813
  • Abstract
    The CMIS Ocean Algorithm Suite retrieves sea surface temperature (SST) as well as sea surface wind speed and direction. We Monte-Carlo simulate ocean brightness temperatures, which are received by the CMIS sensor using a physical radiative transfer model (RTM), geophysical parameters from a numerical weather prediction (NWP) model and add sensor errors. The SST and wind speed algorithms are statistical regressions. The algorithm for retrieving wind direction is a combination of statistical regressions, maximum likelihood estimate and median filtering. One part of the simulated data is used for tuning the algorithm and one part is retained for evaluating the algorithm performance.
  • Keywords
    atmospheric techniques; oceanographic techniques; radiometry; remote sensing; wind; 6 to 37 GHz; CMIS; Conical-Scanning Microwave Imaging/Sounder; Monte-Carlo method; Ocean Algorithm Suite; SST; algorithm; measurement technique; microwave radiometry; ocean; radiative transfer model; remote sensing; sea surface temperature; simulation; wind; wind direction; wind speed; Acoustic imaging; Acoustic sensors; Brightness temperature; Microwave imaging; Ocean temperature; Predictive models; Sea surface; Temperature sensors; Weather forecasting; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1025694
  • Filename
    1025694