• DocumentCode
    2201986
  • Title

    Sea surface wind field retrieval from TerraSAR-X and its applications to coastal areas

  • Author

    Li, XiaoMing ; Lehner, Susanne

  • Author_Institution
    Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2059
  • Lastpage
    2062
  • Abstract
    In the present study, development of the new Geophysical Model Function (GMF) XMOD2 to derive the sea surface wind speed from the TerraSAR-X data is described. The XMOD2 has the similar model functions as the CMOD5 for the bias term B0 and upwind/cross-wind term B2, while the upwind/downwind term B1 is adjusted based on the sea surface backscatter properties of the TerraSAR-X. Coefficients of the XMOD2 are tuned using the collocations of TerraSAR-X measurements with in situ buoy measurements and results of the atmospheric model. By comparing the retrieved sea surface wind speed using XMOD2 to in situ buoy measurements, good agreement is achieved with a bias of 0.07 m/s and an RMSE of 1.57 m/s. We presented a case study of mapping the sea surface wind field over the offshore wind farming Alpha Ventus over the North Sea to demonstrate the application of TerraSAR-X data to investigate the significant spatial variations of the sea surface wind field in the offshore wind farm sites.
  • Keywords
    remote sensing by radar; wind; wind power plants; Alpha Ventus; CMOD5 model function; North Sea; TerraSAR-X data; TerraSAR-X measurements; XMOD2 coefficients; atmospheric model; coastal areas; cross-wind term; downwind term; geophysical model function; in situ buoy measurements; offshore wind farm sites; sea surface backscatter properties; sea surface wind field retrieval; sea surface wind speed; upwind wind term; Sea measurements; Sea surface; Synthetic aperture radar; Wind farms; Wind speed; Wind turbines; Geophysical Model Function; X-band SAR; offshore wind farming; sea surface wind field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350969
  • Filename
    6350969