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contributor authorGeorge Z. Forristall
contributor authorStephen F. Barstow
contributor authorHarald E. Krogstad
contributor authorMarc Prevosto
contributor authorPaul H. Taylor
contributor authorPeter S. Tromans
date accessioned2017-05-09T00:14:04Z
date available2017-05-09T00:14:04Z
date copyrightFebruary, 2004
date issued2004
identifier issn0892-7219
identifier otherJMOEEX-28226#26_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/130631
description abstractThe Wave Crest Sensor Intercomparison Study (WACSIS) was designed as a thorough investigation of the statistical distribution of crest heights. Measurements were made in the southern North Sea during the winter of 1997–1998 from the Meetpost Noordwijk in 18 m water depth. The platform was outfitted with several popular wave sensors, including Saab and Marex radars, an EMI laser, a Baylor wave staff and a Vlissingen step gauge. Buoys were moored nearby to obtain directional spectra. Two video cameras viewed the ocean under the wave sensors and their signals were recorded digitally. The data analysis focused on comparisons of the crest height measurements from the various sensors and comparisons of the crest height distributions derived from the sensors and from theories. Some of the sensors had greater than expected energy at high frequencies. Once the measurements were filtered at 0.64 Hz, the Baylor, EMI and Vlissingen crest height distributions matched quite closely, while those from the other sensors were a few percent higher. The Baylor and EMI crest distributions agreed very well with the statistics from second order simulations, while previous parameterizations of the crest height distribution were generally too high. We conclude that crest height distributions derived from second order simulations can be used with confidence in engineering calculations. The data were also used in investigations of crest and trough shapes and the joint height/period distribution.
publisherThe American Society of Mechanical Engineers (ASME)
titleWave Crest Sensor Intercomparison Study: An Overview of WACSIS
typeJournal Paper
journal volume126
journal issue1
journal titleJournal of Offshore Mechanics and Arctic Engineering
identifier doi10.1115/1.1641388
journal fristpage26
journal lastpage34
identifier eissn1528-896X
keywordsSensors
keywordsWaves
keywordsMeasurement
keywordsEngineering simulation AND Spectra (Spectroscopy)
treeJournal of Offshore Mechanics and Arctic Engineering:;2004:;volume( 126 ):;issue: 001
contenttypeFulltext


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