Abstract

The quality of wave measurements is of primary importance for the validation of wave forecasting models, satellite wave calibration and validation, wave physics, offshore operations and design and climate monitoring. Validation of global wave forecasts revealed significant regional differences, which were linked to the different wave buoy systems used by different countries. To fully understand the differences between the wave measurement systems, it is necessary to go beyond investigations of the integral wave parameters height, period and direction, into the frequency spectra and the four directional Fourier parameters that are used to estimate the directional distribution. We here analyse wave data measured from three different sensors (non-directional Datawell Waverider buoy, WaveRadar Rex, Optech laser) operating at the Ekofisk oil production platform located in the central North Sea over a period of several months, with significant wave height ranging from 1 to 10 m. In general, all three sensors provide similar measurements of the integral wave properties and frequency spectra, although there are some significant differences which could impact design and operations, forecast verification and climate monitoring. For example, the radar underestimates energy in frequency bands higher than 8 s by 3–5%, swell (12.5–16 s) by 5–13%, while the laser has 1–2% more energy than the Waverider in the most energetic bands. Lee effects of structures are also estimated. Lower energy at the frequency tail with the radar has an effect on wave periods (they are higher); wave steepness is seen to be reduced by 10% in the wind seas. Goda peakedness and the unidirectional Benjamin-Feir index are also examined for the three sensors.

Highlights

  • This article is part of the Topical Collection on the 16th International Workshop on Wave Hindcasting and Forecasting in Melbourne, AU, November 10-15, 2019Responsible Editor: Jose-Henrique AlvesThe quality of wave measurements is of primary importance for the validation of wave forecasting models, calibration/ validation of satellite wave sensors, understanding wave physics, climate monitoring, design of ships and offshore installations, operations at sea and climate trend and variability studies.At OceanObs’09, Swail et al (2010) noted that continuous testing and evaluation of operational and pre-operational measurement systems are an essential component of a global wave observing system, to ensure consistent wave measurements to a level of accuracy that will serve the requirements of the broadest range of wave information users

  • During the 59-month period, the results showed that over the mean, the various sensor/payload systems produced similar results; two important differences between different sensors and the Waverider buoy exist: (1) a persistent positive bias in the significant wave height estimates above 6 m and (2) the spread in the wave estimates was about ± 0.5 m for heights less than about 2 m and steadily increased to ± 2m for conditions greater than 6 m

  • Slope of laser vs buoy is 1.0, showing bias of 0.1 m is distributed over Hs values, while slope is 0.95 between radar and buoy. This slope indicates a deficit of 5% in Hs or HM0 compared to the Waverider and slightly more (6–7%) compared to the Optech laser

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Summary

Introduction

This article is part of the Topical Collection on the 16th International Workshop on Wave Hindcasting and Forecasting in Melbourne, AU, November 10-15, 2019. Lee effects have been seen to be considerable (up to 10% in significant wave height) as discussed in Magnusson (2009) and Ewans et al (2014) These papers dealt with measurements from radar sensors (the first one with a MIROS Range finder at Ekofisk, the second with WaveRadar Rex sensors at several locations in the North Sea). Both studies showed a deficit of 5–10% in significant wave height compared to nearby wave buoys.

Sensors
Observations
Quality control and spectral calculations
Significant wave heights and wave mean periods
Spectral shapes
Equivalent significant wave height within spectral bands
Impact on spectral parameters
Summary
Full Text
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