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Modelling the spatial large scale statistical dependence of rain

机译:建模雨水的空间大规模统计依赖性

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A novel model is presented for the prediction of the joint statistics of rain intensity in distant sites to be used in telecommunications applications where the simultaneous occurrence of rain attenuation in many earth terminals is of importance. Data referred to various time bases are compared, and empirical best-fitting formulas are provided, giving a first estimate of the joint probability of simultaneous events, exclusively as a function of the site separation. A model is also presented for the evaluation of a statistical dependence index, chi , expressed by the ratio between the actual joint probability and the probability in case of statistical independence. This index makes allowance for rain characteristics of the sites and expresses the structure of the meteorological scenario.
机译:提出了一种新型模型,用于预测远处部位的雨强度的联合统计数据,以便在电信应用中使用,其中许多地球终端同时出现雨衰减具有重要性。比较各种时间碱基的数据,并且提供了经验最佳拟合公式,其首先作为站点分离的函数的同时事件的关节概率的第一估计。还提出了一种模型,用于评估统计依赖性指数,以实际联合概率与统计独立性的概率之间的比率表示。该指数占地雨特征津贴,表达了气象场景的结构。

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