STOCHASTIC TIME-SERIES REPRESENTATION OF WAVE DATA
STOCHASTIC TIME-SERIES REPRESENTATION OF WAVE DATA
复制标题
波浪数据的随机时间序列表示
DOI：
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发表时间：
1992
期刊：
影响因子：
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通讯作者：
L. Borgman
中科院分区：
文献类型：
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作者：
N. Scheffner;L. Borgman
本文描述了在特定位置生成波高、周期和方向数据的模拟时间序列的过程。该技术使用有限长度的波浪记录来计算系数乘数矩阵，该矩阵用于生成模拟波浪数据的任意长时间序列，从而保留有限数据集的主要统计特性。该程序是为模拟波浪信息研究 (WIS) 数据库的时间序列而开发的，该数据库是美国海岸和五大湖沿岸地区每隔三小时提供一次的 20 年海浪高度、周期和方向的后报。本文通过模拟数据与阿拉巴马州莫比尔湾入口附近墨西哥湾 WIS 站对应的后报数据的比较，论证了该方法的应用。结果分析表明，模拟时间序列确实展现了 WIS 数据的主要统计特性，包括冬季和夏季季节模式...
This paper describes a procedure for generating simulated time sequences of wave height, period, and direction data at specific locations. The technique uses a finite length wave record to compute a matrix of coefficient multipliers, which are used to generate arbitrarily long time sequences of simulated wave data, preserving the primary statistical properties of the finite data set. The procedure was developed for simulating time series from the Wave Information Study (WIS) data base, a 20‐year hindcast of wave height, period, and direction provided at three‐hour intervals for locations along United States coasts and the Great Lakes. Application of the methodology is demonstrated in this paper through comparisons of simulated data with hindcast data corresponding to a Gulf of Mexico WIS station near the entrance to Mobile Bay, Alabama. Analysis of the results indicate that the simulated time series does exhibit the primary statistical properties of the WIS data, including winter and summer seasonal patte...