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Three issues concerning the statistics of mean and extreme wind speeds

机译:有关平均风速和极端风速统计的三个问题

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摘要

In the calibration of statistical models for mean and extreme wind speeds, data coming from historical series measured at meteorological stations are used. In most of the cases, these do not comply with characteristics of the model to be calibrated. In particular, this is due to a finite onset wind speed of anemometers and to the discontinuous sampling. As a result, the mean wind speeds are often underestimated. In addition, when the extreme wind speeds are described through the Gumbel model, these are overestimated due to the non-perfect fitting of the data. In this paper the three issues related to the existence of a measurement threshold of anemometers, of the discontinuous sampling of mean wind speed, and of the appropriateness of the Gumbel distribution for the description of extreme wind speeds are discussed, based on the analysis of the historical records available to the Meteorological Service of the Italian Air Force, using an empirical approach. An estimate of the inaccuracies associated with each of the approximations above, is given.
机译:在对平均风速和极端风速的统计模型进行校准时,将使用来自气象站测量的历史序列的数据。在大多数情况下,这些不符合要校准的模型的特征。特别是,这是由于风速表的起始风速有限以及不连续采样造成的。结果,平均风速经常被低估。此外,当通过Gumbel模型描述极端风速时,由于数据的拟合效果不理想,这些速度被高估了。在本文的基础上,讨论了与风速计测量阈值的存在,平均风速的不连续采样以及描述极端风速的Gumbel分布的适用性有关的三个问题。使用经验方法可向意大利空军气象局提供的历史记录。给出了与上述每个近似值相关的不准确度的估计。

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