Deterministic Sea Waves Prediction Using Mixed Space–Time Wave Radar Data

Abstract

A number of maritime operations can benefit from a short-term deterministic sea wave prediction (DSWP). Conventional X-band radars have recently been shown to provide a low-cost convenient source of two-dimensional wave profile information for DSWP purposes. However, such rotating radars typically introduce temporal smearing into the data, which introduces errors when traditional Fourier transform–based wave prediction methods are used. The authors report on a new approach for DSWP that avoids such errors. Furthermore, it is not susceptible to the condition number problems that arise with any form of direct or indirect inversion-based approaches. Extensive numerical analyses are conducted to illustrate the effect of the mixed space–time nature of the data on DSWP and the efficiency of the proposed technique to handle it.

Sea trial on deterministic sea waves prediction using wave-profiling radar

“…This technique can accept the mixed space-time data arising from the rotating radar antenna and furthermore is not susceptible to the condition number problems that usually arise with any form of inversion into prediction models (e.g., Alford et al (2015), Belmont et al (2014) and Connell et al (2015)). When applied to simulated wave data, the new technique produces very promising results (Al-Ani et al, 2019). In the present report, the authors focus on applying this approach to the field data of the Golden Arrow and report on the wave prediction accuracy achieved.…”

“…In order to address the above problem, a new two-dimensional approach was developed in Al-Ani et al (2019). This technique can accept the mixed space-time data arising from the rotating radar antenna and furthermore is not susceptible to the condition number problems that usually arise with any form of inversion into prediction models (e.g., Alford et al (2015), Belmont et al (2014) and Connell et al (2015)).…”

Decomposition and Prediction of Initial Uniform Bi-Directional Water Waves Using an Array of Wave-Rider Buoys

“…The most famous approach to the deterministic water wave prediction is a Fourier series coefficient estimation (e.g. [19,21,22,23]). This method is suitable for the prediction of the wave exciting force if the force is represented by the superposition of sinusoidal forces.…”

On Random Sampling and Fourier Transform Estimation in Sea Waves Prediction

“…Deterministic Sea Wave Prediction (DSWP) is a relatively new maritime technology which aims to predict the actual shape of the sea surface and its evolution in a location of interest, around a vessel for example, typically in the timescale of several tens of seconds ahead [1], [2]. This new technology has a few applications threads which already have very significant client interest.…”

“…Other solutions include a least-squares fitting of the data to all the spectral components simultaneously which is computationally prohibitive considering the size of the data and the live nature of the application. In [1], we fit the data to pairs of sinusoidal components in a one-by-one manner and showed very promising results when applied to a single time-smeared scan. In this paper, we provide an alternative, generalised solution and justification that is based on random sampling estimators.…”