Reconstruction and future prediction of the sea surface from radar observations

Andreas Parama Wijaya, P. Naaijen, A. Andonowati, Embrecht W.C. van Groesen

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    Abstract

    For advanced offshore engineering applications the prediction with available nautical X-band radars of phase-resolved incoming waves is very much desired. At present, such radars are already used to detect averaged characteristics of waves, such as the peak period, significant wave height, wave directions and currents. A deterministic prediction of individual waves in an area near the radar from remotely sensed spatial sea states needs a complete simulation scenario such as will be proposed here and illustrated for synthetic sea states and geometrically shadowed images as synthetic radar images. The slightly adjusted shadowed images are used in a dynamic averaging scenario as assimilation data for the ongoing dynamic simulation that evolves the waves towards the near-radar area where no information from the radar is available. The dynamic averaging and evolution scenario is rather robust, very efficient and produces qualitatively and quantitatively good results. For study cases of wind waves and multi-modal wind-swell seas, with a radar height of 5 times the significant wave height, the correlation between the simulated and the actual sea is found to be at least 90%; future waves can be predicted up to the physically maximal time horizon with an averaged correlation of more than 80%.
    Original languageUndefined
    Pages (from-to)261-270
    Number of pages10
    JournalOcean engineering
    Volume106
    DOIs
    Publication statusPublished - 15 Sep 2015

    Keywords

    • Remote sensing
    • EWI-26454
    • Radar image
    • Sea surface reconstruction
    • Dynamic averaging
    • Sea surface prediction
    • IR-98249
    • Multi-modal sea states
    • METIS-315030

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