Testing High Directional Resolution Sea-Spectrum Estimation Methods in View of the Needs of a National Monitoring System

IF 5.3 2区 工程技术 Q1 ENGINEERING, CIVIL IEEE Journal of Oceanic Engineering Pub Date : 2024-09-18 DOI:10.1109/JOE.2024.3436771
Giovanni Battista Rossi;Gabriele Nardone;Marco Picone;Giulio Settanta;Francesco Crenna;Marta Berardengo
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Abstract

Marine buoy networks aim to establish a near real-time data flow of sea conditions, with a possible direct interface for applications and services devoted to marine weather networks, resulting in an expected significant impact on safety and efficiency. With this perspective, this article analyzes several methods for the estimation of directional wave spectra from buoys data, with a special focus on directional resolution. Four methods are implemented and compared, namely, the weighted truncated Fourier series, two variations of the Maximum Entropy Approach, and the Maximum Likelihood Method. Both simulated and real experimental data are used. The comparison results are reported and the consequent guidelines for their use are provided.
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根据国家监测系统的需要测试高方向分辨率海谱估算方法
海洋浮标网络旨在建立近乎实时的海况数据流,并可能为专门用于海洋天气网络的应用和服务提供直接接口,从而对安全和效率产生预期的重大影响。从这个角度出发,本文分析了几种利用浮标数据估计定向波谱的方法,并重点讨论了定向分辨率。实现并比较了加权截断傅立叶级数、最大熵法的两种变体和最大似然法四种方法。本文采用了模拟和真实实验数据。报告了比较结果,并提供了相应的使用指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
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