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Short-term risk forecasts of heavy rainfall

机译:暴雨的短期风险预测

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Methodologies for risk forecasts of severe weather hardly exist on the scale of nowcasting (0-3 hours), Here we discuss short-term risk forecasts of heavy precipitation associated with local thunderstorms, We use COTREC/RainCast: a procedure to extrapolate radar images into the near future, An error density function is defined using the estimated error of location of the extrapolated radar patterns. The radar forecast is folded (''smeared'') with the density function, leading to a probability distribution of radar intensities. An algorithm to convert the radar intensities into values of precipitation intensity provides the desired probability (or risk) of heavy rainfall at any position within the considered window in space and time. We discuss, as an example, a flood event from summer 2000. [References: 11]
机译:在临近预报(0-3小时)的范围内,几乎没有用于恶劣天气风险预测的方法,这里我们讨论与局部雷暴相关的强降水的短期风险预测,我们使用COTREC / RainCast:将雷达图像外推到在不久的将来,将使用外推雷达方向图的位置估计误差来定义误差密度函数。雷达预测通过密度函数折叠(“涂抹”),从而导致雷达强度的概率分布。一种将雷达强度转换为降水强度值的算法,可以在空间和时间的相关窗口内的任何位置提供所需的大降雨概率(或风险)。我们以2000年夏季的洪水事件为例进行讨论。[参考文献:11]

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