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Simulation of rain attenuation time series

机译:降雨衰减时间序列的模拟

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The simulation of a fine space-time structure of rain has great potential applications in many fields of research such as radar-meteorology, hydrology, and telecommunications. A rainfall simulator has been developed based on simple assumptions on the release of raindrops from cloud bases, and on a model of raindrop interarrival time and size distributions at ground level, derived from a statistical analysis of actual measurements using CETP's disdrometer over more than a year. Among the simple assumptions used, the probability of precipitating drops follows an exponential law related to the drop size. This Monte-Carlo simulation can be performed in two dimensions giving the spatial distribution of rain drops in a vertical plane. From this simulation, time series of rain rates, but also of microwave attenuations at a given frequency and elevation angle can be derived. The simulator is designed so that the main characteristics of rain observed on the ground are preserved: size distribution, interarrival time distribution and autocovariance of drop sizes. Results show that quantities derived from the series of raindrops generated by the simulator, such as time series of rain rate or attenuation, are in good agreement with observations.
机译:雨水的精细时空结构的模拟在许多研究领域中具有巨大的潜在应用,例如雷达气象学,水文学和电信。降雨模拟器的开发基于以下简单假设:从云底释放雨滴,并基于地面上雨滴到达时间和大小分布的模型,该模型来自使用CETP测速仪对一年多来的实际测量值进行统计分析。在所使用的简单假设中,沉淀液滴的概率遵循与液滴大小相关的指数定律。可以在二维中执行此蒙特卡洛模拟,从而在垂直平面上给出雨滴的空间分布。从该模拟中,可以得出降雨率的时间序列,以及给定频率和仰角下微波衰减的时间序列。设计模拟器的目的是要保留在地面上观察到的雨水的主要特征:大小分布,到达时间间隔和液滴大小的自协方差。结果表明,由模拟器产生的一系列雨滴得出的数量(如降雨率或衰减的时间序列)与观测值非常吻合。

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