• DocumentCode
    1037243
  • Title

    Assessing the quality of SeaWinds rain measurements

  • Author

    Draper, David W. ; Long, David G.

  • Author_Institution
    Microwave Earth Remote Sensing Lab., Brigham Young Univ., Provo, UT, USA
  • Volume
    42
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    1424
  • Lastpage
    1432
  • Abstract
    While SeaWinds was designed to measure ocean winds, it can also measure rain over the ocean. SeaWinds on QuikSCAT active measurements of integrated columnar rain rate obtained via simultaneous wind/rain retrieval are evaluated via Monte Carlo simulation and the Crame´r-Rao lower bound on estimate accuracy. Although sufficiently accurate in many conditions, the simultaneous wind/rain retrieval method used with SeaWinds on QuikSCAT data is ill-conditioned for certain wind directions and measurement geometries, sometimes yielding spurious rain rates in zero-rain conditions. To assess the validity of SeaWinds-derived rain rates, a simple empirically based rain thresholding scheme is presented, derived from simulated data. Thresholded QuikSCAT rain rates are compared to Tropical Rainfall Measuring Mission Microwave Imager monthly-averaged data, demonstrating good correlation for monthly-averaged data.
  • Keywords
    Monte Carlo methods; atmospheric techniques; hydrological techniques; meteorological radar; microwave measurement; rain; remote sensing by radar; wind; Cramer-Rao lower bound; Monte Carlo simulation; QuikSCAT; SeaWinds; Tropical Rainfall Measuring Mission Microwave Imager; integrated columnar rain rate; ocean winds; rain measurements; rain thresholding; scatterometer; simultaneous wind/rain retrieval; wind directions; Backscatter; Geometry; Information retrieval; Microwave measurements; Oceans; Radar measurements; Rain; Scattering; Sea measurements; Wind speed; Maximum likelihood; Microwave Imager; SeaWinds; TMI; TRMM; Tropical Rainfall Measuring Mission; scatterometer; simultaneous wind/rain retrieval;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2004.828194
  • Filename
    1315825