• DocumentCode
    1006019
  • Title

    Retrieving ocean surface wind speed from the TRMM Precipitation Radar measurements

  • Author

    Li, Li ; Im, Eastwood ; Connor, Laurence N. ; Chang, Paul S.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    42
  • Issue
    6
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    1271
  • Lastpage
    1282
  • Abstract
    Spaceborne scatterometery has been used for many years now to retrieve the ocean surface wind field from normalized radar cross-section measurements of the ocean surface. Though designed specifically for the measurement of precipitation profiles in the atmosphere, the Precipitation Radar (PR) of the Tropical Rainfall Measuring Mission (TRMM) also acquires surface backscattering measurements of the global oceans. As such, this instrument provides an interesting opportunity to explore the benefits and pitfalls of alternative radar configurations in the satellite remote sensing of ocean winds. In this paper, a technique was developed for retrieving ocean surface winds using surface backscattering measurements from the TRMM PR. The wind retrieval algorithm developed for TRMM PR makes use of a maximum-likelihood estimation technique to compensate for the low backscattering associated with the PR configuration. The high vertical resolution of the PR serves to filter-out rain-contaminated cells normally integrated into Ku-band scatterometer measurements. The algorithm was validated through comparisons of ocean surface wind speeds derived from PR with remotely measured winds from TMI and QuikSCAT, as well as in situ observations from oceanographic buoys, revealing good agreements in wind speed estimations.
  • Keywords
    atmospheric precipitation; atmospheric techniques; backscatter; remote sensing by radar; wind; Ku-band scatterometer measurements; QuikSCAT; TMI; TRMM precipitation radar measurements; Tropical Rainfall Measuring Mission; atmospheric precipitation profiles; maximum-likelihood estimation; microwave remote sensing; normalized radar cross-section measurements; ocean surface wind speed; oceanographic buoys; radar configurations; rain-contaminated cells; satellite remote sensing; spaceborne scatterometery; surface backscattering measurements; vertical resolution; wind speed estimations; Atmospheric measurements; Backscatter; Oceans; Radar cross section; Radar measurements; Radar remote sensing; Sea measurements; Sea surface; Spaceborne radar; Wind speed; Microwave remote sensing; PR; Precipitation Radar; TRMM; Tropical Rainfall Measuring Mission; ocean surface wind;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2004.828924
  • Filename
    1304894