Probabilistic Characteristics of Intensive Short-Period Internal Waves in the Sea of Japan

IF 0.7 Q4 OCEANOGRAPHY
M. Kokoulina, O. Kurkina, E. Rouvinskaya, A. Kurkin
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引用次数: 0

Abstract

Purpose. The paper is aimed at studying the regional features of the internal waves’ field in the Sea of Japan (the Peter the Great Bay) based on the field data, namely, determination of the internal waves’ statistical characteristics that can be used to predict possibility of generating the waves of extreme amplitudes. Methods and Results. The records of water temperature variability in the Peter the Great Bay (the depth at the point of measurements is 42 m) obtained for October 11 – 20, 2011 were used as the initial data. Sampling frequency of the records was 1 s that permitted to analyze the shape of the short-period internal waves. The data on the salinity vertical distribution near the measurement point was also used. The law of the power density spectrum decay (as applied to the studied record) is well described by the Garrett – Munk model for the Sea of Japan zone being under consideration. The calculated temporal series of density were applied for obtaining the basic statistical characteristics including the statistical moments. Besides, empirical distribution for such parameters as the wave heights, periods and steepness and the wave slope amplitude was approximated by the log-normal distribution law and analyzed. The expected wave heights were forecasted using the Poisson statistics. Conclusions. It is shown that the probabilistic characteristics of the internal waves are described well by the log-normal distribution. Based on repeatability of the internal waves’ heights, probability of appearance of intensive disturbances is estimated. It is shown that within 10 days, occurrence of a short-period wave with the height not less than 7 m is guaranteed at the observation point at the 42 m depth. Keywords intensive internal waves, in situ data, probabilistic characteristics of extreme waves, shelf, Sea of Japan.
日本海强短周期内波的概率特征
意图本文以日本海(彼得大帝湾)内波场资料为基础,研究内波场的区域特征,即内波的统计特征的确定,可用于预测产生极端振幅波的可能性。方法和结果。使用2011年10月11日至20日获得的彼得大帝湾水温变化记录(测量点深度为42米)作为初始数据。记录的采样频率为1秒,可以分析短周期内波的形状。还使用了测量点附近盐度垂直分布的数据。正在考虑的日本海区域的Garrett–Munk模型很好地描述了功率密度谱衰减定律(应用于所研究的记录)。计算的密度时间序列用于获得包括统计矩在内的基本统计特征。此外,用对数正态分布规律近似分析了波高、周期、陡度和波浪斜率振幅等参数的经验分布。使用泊松统计对预期波高进行了预测。结论。结果表明,内波的概率特性可以用对数正态分布很好地描述。基于内波高度的可重复性,估计了出现强烈扰动的概率。结果表明,在42m深度的观测点,保证在10天内出现高度不小于7m的短周期波。关键词密集内波,现场数据,极端波的概率特征,陆架,日本海。
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
Physical Oceanography
Physical Oceanography OCEANOGRAPHY-
CiteScore
1.80
自引率
25.00%
发文量
8
审稿时长
24 weeks
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