• DocumentCode
    2469886
  • Title

    Validation of wave model using ERS altimeter and SAR wave mode data

  • Author

    Zhang, Ruixue ; Lim, Tian Kuay ; Kasilingam, Dayalan ; Lin, I.-I. ; Khoo, Victor

  • Author_Institution
    DSO Nat. Labs., Singapore
  • Volume
    4
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    1695
  • Abstract
    A second generation ocean wave model of Meteorological Service Singapore (MSS) is validated in two ways, theoretically and by using field data. The results of theoretical validation show that the wave growth rate and spectrum are in agreement with expected parameters. The field data is chosen between 16-21 Nov., 1995, which corresponding to the North East monsoon period. The wave model is driven by the 10 m surface wind of MSS Numerical Weather Prediction (NWP) model. The Significant Wave Height (SWH) of the wave model is compared with the SWH ERS altimeter data. In general, it is found that the two data sets are in agreement, the SWH of the wave model is found to be higher than the altimeter SWH in high wave region and lower in low wave region. Qualitative comparisons between SAR wave mode data and the wave model spectra are also made. SAR wave mode spectra reflect the peak frequency detected in wave model outputs. From the evolution of SWH with time, it is shown that the wave model is capable in predicting the wave pattern in response to the North East monsoon phenomena
  • Keywords
    ocean waves; oceanographic regions; AD 1995 11; ERS radar altimeter observations; Indian Ocean; Monsoon; North Pacific; SAR observations; Singapore; South China Sea; growth rate; ocean wave; sea surface; second generation model; significant wave height; spectrum; validation; Meteorology; Notice of Violation; Ocean waves; Predictive models; Sea measurements; Sea surface; Surface waves; Weather forecasting; Wind forecasting; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.609029
  • Filename
    609029