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首页> 外文期刊>Journal of Hydrology >Characteristics of rainstorms over a temperate region derived from multiple time series of weather radar images
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Characteristics of rainstorms over a temperate region derived from multiple time series of weather radar images

机译:从多个时间序列的天气雷达图像得出的温带地区暴雨的特征

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Weather radars provide invaluable data to characterize rainstorms spatially and temporally. A correct description of rainfall in space and time contributes to improvements in hydrological modeling and design, and ultimately to a better water management. To provide a stochastic rainfall model with an accurate parameterization, frontal rain systems over Belgium (Western Europe) are analyzed. In this paper different structures within rainstorms and their relative spatial positions are studied, the movement of rainstorms is analyzed and distribution functions are constructed to characterize several features of rainstorms statistically. A correlation technique is applied to determine the direction and velocity of the translation of storms. Well developed rainstorms are isolated in radar images and their dimensions and shape are investigated. To describe the dimensions of the rainstorms three methods are proposed and compared. Statistical analyses provide probability distributions for the dimensions, the perimeter, the area, the velocity and the direction of the movement for rainstorms. Furthermore, the spatial distribution of clusters in a rainstorm is studied. It is shown that a simple Poisson process performs well in the representation of this spatial distribution. Two methods to calculate the single parameter in a Poisson process (in 1D and in 2D) are proposed and compared. (c) 2004 Elsevier B.V. All rights reserved.
机译:天气雷达提供了宝贵的数据,可以在空间和时间上表征暴雨。对时空降雨的正确描述有助于改善水文模型和设计,并最终改善水管理。为了提供具有精确参数设置的随机降雨模型,分析了比利时(西欧)的额叶降雨系统。本文研究了暴雨内的不同结构及其相对空间位置,分析了暴雨的运动并构造了分布函数,以统计地表征暴雨的几个特征。应用了一种相关技术来确定风暴平移的方向和速度。在雷达图像中隔离了发达的暴雨,并研究了它们的尺寸和形状。为了描述暴雨的规模,提出并比较了三种方法。统计分析提供了暴雨的尺寸,周长,面积,速度和运动方向的概率分布。此外,研究了暴雨中星团的空间分布。结果表明,简单的泊松过程在这种空间分布的表示中表现良好。提出并比较了两种在Poisson过程(一维和二维)中计算单个参数的方法。 (c)2004 Elsevier B.V.保留所有权利。

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