Estimating ocean wave directional spreading using wave following buoys: a comparison of experimental buoy and gauge data

Author:

Lin Zhaoxian,Adcock Thomas A. A.,McAllister Mark L.ORCID

Abstract

AbstractDirectional spreading of ocean waves plays an important role in various aspects of ocean engineering, such as wave-induced loads, nonlinear wave evolution, and wave breaking. Wave following buoys, which are widely deployed across the oceans, offer the potential to measure directional wave properties. To assess the accuracy of directional spreading estimates made using buoy measurements, we compared estimates based on experimentally obtained buoy and wave gauge measurements, first presented in McAllister and van den Bremer (J Phys Oceanogr 50:399–414, 2020) Buoy and gauge measurements were recorded at the same locations and in identical sea states, allowing for a like-for-like comparison. We examine experiments with both following (unimodal in direction) and crossing (bimodal in direction) sea states. In addition to this, we use synthetic wave data to investigate the effects of wave generation and nonlinearity on spreading estimates. Our results show that while directional estimates produced using buoy measurements are reasonably accurate in following sea states, they struggle to identify distinct directional peaks in crossing sea states. We find that spreading estimates made using buoy measurements tend to underestimate the degree of directional spreading by approximately $$9-14\%$$ 9 - 14 % in following sea states, which is most apparent in narrowly spread conditions.

Publisher

Springer Science and Business Media LLC

Subject

Ocean Engineering,Energy Engineering and Power Technology,Water Science and Technology,Renewable Energy, Sustainability and the Environment

Reference38 articles.

1. Adcock TAA, Taylor PH (2009) Estimating ocean wave directional spreading from an Eulerian surface elevation time history. Proc R Soc A 465(2111):3361–3381. https://doi.org/10.1098/rspa.2009.0031

2. Akaike H (1998) Information theory and an extension of the maximum likelihood principle. In: Selected Papers of Hirotugu Akaike. Springer, New York, pp 199–213. https://doi.org/10.1007/978-1-4612-1694-0_15

3. Benoit M, Frigaard P, Schäffer HA (1997) Analyzing multidirectional wave spectra: a tentative classification of available methods. In: Proc. IAHR Seminar on Multidirectional Waves and their Interactions with Structures, San-Francisco (CA, USA), pp 131–158

4. Benoit M, Teisson C (1994) Laboratory comparison of directional wave measurement systems and analysis techniques. In: Proc. 24th Int. Conf. Coastal Eng. (ICCE 1994), 23–28 October 1994, Kobe (Japan), pp 42–56. https://doi.org/10.1061/9780784400890.004

5. Benoit M (1993) Extensive comparison of directional wave analysis methods from gauge array data. In: Proc. 2nd Int. Conf. on Ocean Wave Measurement and Analysis (WAVES’1993), New- Orleans (Louisiana, USA), pp 740–754

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3