On the tails of the wind ramp distributions
On the tails of the wind ramp distributions
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DOI：
10.1002/we.2202
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发表时间：
2018-10
期刊：
影响因子：
4.1
通讯作者：
A. W. DeMarco;S. Basu
中科院分区：
文献类型：
--
作者：
A. W. DeMarco;S. Basu
我们分析了来自4个不同地理位置的多年风速数据集。所有这些地点的风坡的概率密度函数显示出非常相似的形状。概率密度函数的尾部比高斯分布重得多，并且它们也系统地依赖于时间增量。非常有趣的是，从纯统计的角度来看，极端斜升和斜降事件的特征几乎相同。借助极值理论，本文描述了极值风坡道的其他几个内在特征。
We analyzed several multiyear wind speed datasets from 4 different geographical locations. The probability density functions of wind ramps from all these sites revealed remarkably similar shapes. The tails of the probability density functions are much heavier than a Gaussian distribution, and they also systematically depend on time increments. Quite interestingly, from a purely statistical standpoint, the characteristics of the extreme ramp‐up and ramp‐down events are found to be almost identical. With the aid of extreme value theory, we describe several other inherent features of extreme wind ramps in this paper.