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On the properties of stochastic intermittency in rainfall processes

机译:降雨过程中随机间歇性的性质

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In this work we propose a mixed approach to deal with the modelling of rainfall events, based on the analysis of geometrical and statistical properties of rain intermittency in time, combined with the predictability power derived from the analysis of no-rain periods distribution and from the binary decomposition of the rain signal, Some recent hypotheses on the nature of rain intermittency are reviewed too. In particular, the internal intermittent structure of a high resolution pluviometric time series covering one decade and recorded at the tipping bucket station of the University of Genova is analysed, by separating the internal intermittency of rainfall events from the inter-arrival process through a simple geometrical filtering procedure. In this way it is possible to associate no-rain intervals with a probability distribution both in virtue of their position within the event and their percentage. From this analysis, an invariant probability distribution for the no-rain periods within the events is obtained at different aggregation levels and its satisfactory agreement with a typical extreme value distribution is shown. [References: 19]
机译:在这项工作中,我们提出了一种混合方法来处理降雨事件的建模,它是基于对降雨间歇性时间的几何和统计特性的分析,并结合了无雨周期分布分析和可预测性得出的可预测能力。降雨信号的二元分解,有关降雨间歇性的一些最新假设也得到了综述。特别是,通过简单的几何方法,将降雨事件的内部间歇性与到达过程的间断性进行了分析,从而分析了记录在热那亚大学倾卸桶中的高分辨率测雨量时间序列的内部间歇结构,覆盖了十年,过滤程序。以这种方式,有可能根据其在事件中的位置及其百分比将无雨间隔与概率分布相关联。通过此分析,可以得出不同聚合级别下事件中无雨时段的不变概率分布,并显示了其与典型极值分布的令人满意的一致性。 [参考:19]

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