How to Cite

Al-Ani, M., Belmont, . M., Christmas, J., & Paolo, A. D. (2020). DETERMINISTIC SEA WAVES PREDICTION FROM X-BAND RADAR: NEW ALGORITHM AND SEA TRIAL . Coastal Engineering Proceedings, (36v), waves.41.


Many maritime operations can benefit from short-term deterministic sea wave prediction (DSWP). Conventional X-band radars constitute a convenient cheap source of measurements for DSWP. The radar backscatter measurements suffer from several imperfections such as the effect of larger waves shadowing smaller waves. In order to extract the wave profiles and build a reliable sea prediction model, multiple radar scans must be processed. In this paper, we present a new single-wavenumber least-squares spectral algorithm for wave prediction from radar backscatter. The proposed technique is evaluated using field data from a dedicated sea trial.

Recorded Presentation from the vICCE (YouTube Link):


Al-Ani M., M. Belmont and J. Christmas, (2019a): Statistical Properties of Quiescent Periods from Wave Power Spectral Density. OCEANS 2019 - Marseille, Marseille, France, pp. 1-5, doi: 10.1109/OCEANSE.2019.8867574.

Al-Ani M., J. Christmas, M. R. Belmont, J. M. Duncan, J. Duncan and B. Ferrier, (2019b): Deterministic Sea Waves Prediction Using Mixed Space–Time Wave Radar Data, J. of Atmos. Oceanic Technol., vol. 36, pp. 833–842.

Al-Ani M., M. R. Belmont, and J. Christmas, (2020): Sea trial on deterministic sea waves prediction using wave-profiling radar. Ocean Engineering, vol. 207, DOI: 10.1016/j.oceaneng.2020.107297.

Al-Ani M. and M. R. Belmont, (2020): On Fully Describing the Probability Distribution of Quiescent Periods from Sea Spectral Density. IEEE Trans. On Ocean Engineering, DOI: 10.1109/JOE.2020.2973033.

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