• DocumentCode
    2128168
  • Title

    Validation of ocean surface wind vector sensing using combined active and passive microwave measurements

  • Author

    Soisuvarn, Seubson ; Jones, W. Linwood ; Kasparis, Takis

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Lastpage
    50
  • Abstract
    A new ocean surface wind vector measurement has been developed using combined active and passive microwave measurements from the TRMM satellite. In this method, collocated ocean normalized radar backscatter from the Precipitation Radar (PR) and retrieved wind speeds from the TRMM Microwave Imager (TMI) are used to derive ocean wind direction. Since PR provides only a single azimuth look, multiple wind direction solutions exists; but we compare the "closest" retrieved wind direction with near-simultaneous surface truth from three ocean buoy networks, namely; National Data Buoy Center (NDBC), Tropical Atmosphere Ocean (TAO), and Pilot Research moored Array in the Tropical Atlantic (PIRATA). Comparisons are also presented for QuikSCAT wind vector retrievals.
  • Keywords
    atmospheric techniques; meteorological radar; microwave measurement; oceanographic techniques; radar cross-sections; remote sensing by radar; wind; NDBC; National Data Buoy Center; PIRATA; PR; Pilot Research moored Array in the Tropical Atlantic; Precipitation Radar; Quick Scatterometer; QuikSCAT wind vector retrieval; TAO; TMI; TRMM Microwave Imager; TRMM satellite; Tropical Atmosphere Ocean; Tropical Rainfall Measuring Mission; combined active-passive microwave measurement; multiple wind direction solution; ocean buoy network; ocean normalized radar backscatter; ocean surface wind vector sensing; Backscatter; Image retrieval; Microwave measurements; Oceans; Radar imaging; Satellites; Sea measurements; Sea surface; Spaceborne radar; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1368941
  • Filename
    1368941