• DocumentCode
    2673059
  • Title

    On SAR hurricane wind speed ambiguities

  • Author

    Shen, Hui ; Perrie, William ; He, Yijun

  • Author_Institution
    Bedford Inst. of Oceanogr., Dartmouth
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    2531
  • Lastpage
    2534
  • Abstract
    Radar backscattered signals over the ocean are dampened in extremely high winds, which leads to a wind speed ambiguity problem during the process of wind retrieval from synthetic aperture radar (SAR). This problem was firstly studied by Shen et al. (2007), where we proposed a wind speed ambiguity removal scheme for the two wind speed solutions that may exist for any given normalized radar cross section (NRCS) and wind direction. This approach is based on the operational geophysical model function (GMF) CMOD5. Recently, new C-band GMFs for high wind have been developed, among which, a HH polarized GMF was established for the first time. In this study, the wind speed ambiguity problem will be studied within the context of the available high wind GMFs, which are,CMOD5,CMOD4HW,HWGMF_V and HWGMF_H. For the wind retrieval from HH polarized SAR images, a hybrid empirical polarization ratio is generally adopted. To compare the different behavior of various GMF models, this polarization ratio is used to transform the HH polarized GMF into a W field. Although the wind speed ambiguity problem is found in most GMFs, the saturation wind speed where radar backscattered signals start to decrease is different for the various GMFs. We show that consideration of the wind speed ambiguity problem is important for high wind retrieval from SAR images, especially for category 5 hurricanes.
  • Keywords
    atmospheric techniques; backscatter; radar cross-sections; storms; synthetic aperture radar; wind; CMOD5; HWGMF; SAR images; geophysical model function; hurricane wind speed; hybrid empirical polarization ratio; normalized radar cross section; radar backscattered signals; synthetic aperture radar; wind direction; wind retrieval; wind speed ambiguity problem; Hurricanes; Image retrieval; Oceans; Polarization; Radar cross section; Radar imaging; Radar signal processing; Signal processing; Synthetic aperture radar; Wind speed; GMF; SAR; hurricane winds; wind speed ambiguity; wind speed retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423359
  • Filename
    4423359