用单求和海模型预测水槽试验的线性确定性海浪

IF 4.4 2区 工程技术 Q1 ENGINEERING, OCEAN
M.R. Belmont
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引用次数: 0

摘要

本文讨论了从波浪数据中建立相位分辨的海浪模型,用于建立海浪产生模型和建立海浪预测模型。这里考虑的主要应用是确定性海浪预测(DSWP)。重点是所谓的单求和法(SSM)。SSM是由某些研究人员引入的,用于解决在使用标准线性海洋学波浪描述的离散形式(即双求和法(DSM))时遇到的实验水箱测试工作中发现的伪像。与DSM不同,SSM本质上是一种一维方法,因为在每个传播方向上只使用一个波分量。这似乎使SSM在比坦克测试更广泛的应用中具有潜在的吸引力,因为它比完全二维的DSM需要更少的计算资源。对SSM的探索表明,它不适合与通常用于DSM的空间波数据一起使用。基于SSM的DSWP依赖于来自两个不同地点的时间序列数据,与DSM相比,这大大减少了DSWP应用的预测时间。此外,为了避免波传播方向估计的多值性,必须施加使SSM对加性噪声非常敏感的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear deterministic sea wave prediction for tank testing using single summation sea models
This paper deals with the creation of phase resolved sea models from wave data both for creating sea wave generation models and for building wave prediction models. The main application of these considered here is in Deterministic Sea Wave Prediction (DSWP). The focus is on the so-called Single Summation Method (SSM). The SSM was introduced by certain researchers to address artifacts found in experimental tank testing work encountered when using discrete forms of the standard linear oceanographic wave description, i.e., the Double Summation Method (DSM). Unlike DSM the SSM is essentially a one-dimensional method, because only one wave component is used in each propagation direction. This might seem to make the SSM potentially attractive for wider applications than tank testing because it requires less computational resources than DSM which is fully two dimensional. Exploration of the SSM shows that it is not suitable for use with the spatial wave data typically employed for DSM. As developed here SSM based DSWP relies on time series data from two separate locations which considerably reduces the predict ahead time available in DSWP applications as compared to DSM. Furthermore, to avoid multi-valuedness in estimating the wave propagation directions conditions must be imposed that make SSM very sensitive to additive noise.
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来源期刊
Applied Ocean Research
Applied Ocean Research 地学-工程:大洋
CiteScore
8.70
自引率
7.00%
发文量
316
审稿时长
59 days
期刊介绍: The aim of Applied Ocean Research is to encourage the submission of papers that advance the state of knowledge in a range of topics relevant to ocean engineering.
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