• DocumentCode
    881233
  • Title

    Estimation of Hurricane Winds From SeaWinds at Ultrahigh Resolution

  • Author

    Williams, Brent A. ; Long, David G.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Brigham Young Univ., Provo, UT
  • Volume
    46
  • Issue
    10
  • fYear
    2008
  • Firstpage
    2924
  • Lastpage
    2935
  • Abstract
    Although the SeaWinds scatterometer was not specifically designed to observe tropical cyclones, new high-resolution wind products resolve much of the horizontal structure of these storms. However, these higher resolution products (2.5 km) are inherently noisier than the standard 25-km near-surface wind products. These noise levels combined with rain contamination complicate high-resolution wind estimation-particularly in tropical cyclones. Fortunately, tropical cyclones have structures that can be exploited by using a wind field model. This paper develops a new procedure for hurricane wind field estimation from the SeaWinds instrument at ultrahigh resolution. A simplified hurricane model is developed to provide prior information to be used in maximum a posteriori probability estimation of ocean winds. Using the hurricane model ameliorates the effects of rain and noise and provides useful hurricane parameters such as the eye center location. The model also improves ambiguity selection. The new method reduces the variability of the wind speed and direction estimates, although high wind speeds still tend to be underestimated. The method also greatly improves wind direction estimates in hurricanes-even in rain-contaminated portions of the storm.
  • Keywords
    atmospheric techniques; probability; rain; remote sensing; storms; wind; SeaWinds scatterometer; hurricane model; hurricane wind estimation; ocean winds; posteriori probability estimation; rain contamination; rain effects; storms; tropical cyclones; wind field model; wind speed variablity; Contamination; Hurricanes; Instruments; Noise level; Oceans; Radar measurements; Rain; Storms; Tropical cyclones; Wind speed; Hurricane; maximum a posteriori estimation; scatterometry; wind;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.924096
  • Filename
    4637980