Analysis of WACSIS Data Using a Directional Hybrid Wave Model
Author:
Zhang Jun1, Zhang Shaosong1, Wang Zhongming1
Affiliation:
1. Ocean Engineering Program, Department of Civil Engineering, Texas A&M University, College Station TX 77843-3136
Abstract
The Wave Crest Sensor Inter-comparison Study (WACSIS) employed many different types of sensors to measure ocean surface waves. These sensors were attached to a steel jacket platform located in 18 m deep water about 9 km from the Dutch coast. To investigate the suitability and consistency of different wave sensors, wave characteristics at the locations of some sensors were deterministically predicted based on three other wave measurements using a Directional Hybrid Wave Model (DHWM). The comparisons between the predictions and related measurements were applied to the examination of the consistency among different sensors. As an example, a mistake of the orientation of a current meter has been found through the comparisons. This study also demonstrates that consistency among different types of wave sensors is satisfactory and the DHWM is valuable to the analysis of field wave measurements.
Publisher
ASME International
Subject
Mechanical Engineering,Ocean Engineering
Reference7 articles.
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