• DocumentCode
    484078
  • Title

    High Wind and Power Density Over Global Oceans

  • Author

    Liu, W. Timothy ; Tang, Wenqing ; Xie, Xiaosu

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., CA
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Spacebased scatterometer measures ocean surface roughness, which is in equilibrium with surface stress (momentum flux). Under general conditions, the variation of stress is reflected in the variation of winds. Eight years of QuikSCAT data are used to give a good representation of the probability distribution and power density of wind speed over global oceans and to provide useful applications. For hurricane-scale winds (> 35 m/s), present scatterometer measurements are not sensitive to increase in winds. Although strong efforts have been made to adjust the model functions for retrieving winds under moderate wind to the strong wind conditions and to improve the sensor design to retrieve strong winds, such effort is likely to be limited by the natural process of turbulent transport. Surface stress does not increase with wind in hurricane-scale winds due to flow separation.
  • Keywords
    atmospheric boundary layer; ocean waves; oceanographic techniques; remote sensing; wind; QuikSCAT data; global oceans; high wind saturation; ocean stress variation; ocean surface momentum flux; ocean surface roughness; ocean surface stress; ocean wind variation; power density climatology; spacebased scatterometer; wind speed power density; wind speed probability distribution; Oceans; Probability distribution; Radar measurements; Rough surfaces; Sea measurements; Sea surface; Spaceborne radar; Stress measurement; Surface roughness; Wind speed; Wind; hurricane; power; scatterometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779082
  • Filename
    4779082