Abstract
Abstract. In this study we describe a previously unreported error in the vertical-displacement time series made with GPS-based Datawell DWR-G4 wave buoys and introduce a simple method to correct the resulting wave spectra. The artefact in the time series is found to resemble a sawtooth wave, which produces an erroneous trend following an f−2 power law in frequency space. The correction method quantifies the amount of erroneous trend below a certain maximum frequency and removes the spurious energy from all frequencies assuming the above-mentioned f−2 power law. The presented correction method is validated against an experimental field test, and its impact on the measured significant wave height is quantified. The method's sensitivity to the choice of the maximum frequency is also briefly discussed.
Highlights
Surface wind waves are an important factor for the safety and efficiency of marine traffic, seaborne operations and coastal structures
The correction method applied to the, presumably correct, Directional Waverider (DWR) spectra resulted in only negligible changes
In this paper we introduce a simple automated method to correct Datawell DWR-G4 data for an error observed in the lower frequencies
Summary
Surface wind waves are an important factor for the safety and efficiency of marine traffic, seaborne operations and coastal structures. Short-term observations are well suited to map the wave field and to support wave model development, especially at complex shorelines. The large wave buoys utilising accelerometers to measure the pitch, heave and roll of the buoy are considered highly reliably instruments for operational measurements. There exist several different technologies that use a GPS receiver to measure the displacement of the wave buoy, which have all been proven to be sufficiently accurate in a majority of situations (Herbers et al, 2012). The technique using the Doppler shift of the GPS signal to measure the velocity of the wave buoy has been shown to produce excellent results
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