Analyzing AIS and wave hindcast data for global wave scatter diagrams with seasonality

IF 4.6 2区 工程技术 Q1 ENGINEERING, CIVIL Ocean Engineering Pub Date : 2024-11-08 DOI:10.1016/j.oceaneng.2024.119647
Wataru Fujimoto, Kinya Ishibashi, Tingyao Zhu
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Abstract

Global scatter diagrams are used to estimate possible ship motions in a specified route and are required for comprehensive cargo-loading considerations of merchant ships. This study aims to update global wave scatter diagrams using the latest wave hindcast and Automatic Identification System (AIS) data. The AIS data for over 7500 merchant ships were collected between 2015 and 2022. The wave hindcast data ECMWF Reanalysis v.5 (ERA5), preferred for its recent coverage, were adjusted based on CCI satellite data. The duration of the AIS data is much shorter than the design lifetime of merchant ships, which is generally 25 years. This study found almost linear relationships between the maximum significant wave heights in storms and the generalized extreme value (GEV) parameters representing the distribution of encountered significant wave heights, with adjustments made for seasonality and tropical cyclones. By simulating the parameters based on these relationships and the wave hindcast data over 25 years, the encountered significant wave height distributions over 25 years were obtained. The results indicated a reduction in extremely significant wave heights compared with the BMT-GWS, in agreement with previous studies. This study also found that the difference in the wave period distribution between natural and encountered sea states was small in most sea areas for all significant wave height levels. Taking advantage of the abundant data volume of ERA5, this study adopted an empirical distribution of the wave period conditioned by the significant wave height. The novelty of this study is that we obtained wave scatter diagrams globally by month to consider the seasonal effect in detail and evaluated the confidence interval of the encountered wave height in its probability tail. In addition, this study quantifies the uncertainty of the wave height distribution by Monte Carlo simulation, which is not within the scope of previous studies on wave scatter diagrams based on the significant wave heights encountered by merchant ships around the world.
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分析 AIS 和波浪后报数据,绘制具有季节性的全球波浪散点图
全球散点图用于估算指定航线上可能出现的船舶运动,也是商船全面考虑货物装载所必需的。本研究旨在利用最新的波浪后报和自动识别系统(AIS)数据更新全球波浪散布图。在 2015 年至 2022 年期间,收集了超过 7500 艘商船的自动识别系统数据。波浪后报数据 ECMWF Reanalysis v.5 (ERA5) 因其最近的覆盖范围而受到青睐,并根据 CCI 卫星数据进行了调整。AIS 数据的持续时间远短于商船的设计寿命(一般为 25 年)。这项研究发现,风暴中的最大显著波高与代表所遇到的显著波高分布的广义极值 (GEV) 参数之间几乎呈线性关系,并根据季节性和热带气旋进行了调整。通过模拟基于这些关系的参数和 25 年的波浪后报数据,得到了 25 年的遭遇巨浪高度分布。结果表明,与 BMT-GWS 相比,极显著波高有所降低,这与之前的研究结果一致。这项研究还发现,在大多数海域,所有显著波高等级下,自然海况和遭遇海况的波浪周期分布差异很小。利用 ERA5 丰富的数据量,本研究采用了以显著波高为条件的波浪周期经验分布。本研究的新颖之处在于,我们获得了全球各月的波浪散点图,详细考虑了季节效应,并评估了所遇波浪高度在其概率尾部的置信区间。此外,本研究还通过蒙特卡洛模拟对波高分布的不确定性进行了量化,这是以往根据商船在世界各地遇到的显著波高绘制波浪散布图的研究范围所不具备的。
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来源期刊
Ocean Engineering
Ocean Engineering 工程技术-工程:大洋
CiteScore
7.30
自引率
34.00%
发文量
2379
审稿时长
8.1 months
期刊介绍: Ocean Engineering provides a medium for the publication of original research and development work in the field of ocean engineering. Ocean Engineering seeks papers in the following topics.
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