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Relationships among Rainfall Distribution, Surface Wind, and Precipitable Water Vapor during Heavy Rainfall in Central Tokyo in Summer

机译:夏季东京中部暴雨期间降雨分布,地表风和可降水量水汽之间的关系

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?The relationships between the occurrence of intense rainfall and the convergence of surface winds and water vapor concentration for typical heavy-rainfall cases were examined using data from July to August in 2011-2013, obtained from high-density meteorological observations in Tokyo, Japan. Additionally, the temporal variations in wind convergence and water vapor between days with and without heavy rainfall events were compared. Corresponding to heavy-rainfall areas, the convergence of surface winds tended to increase for several tens of minutes prior to the heavy rainfall. The peak of convergence was observed 10-30 min before the heavy-rainfall occurrence, and convergence continued to increase for approximately 30 min until the convergence peak time. Around the heavy-rainfall area, the increase in the water vapor concentration index coincided with the increase in convergence. From these results, by monitoring the temporal variations and distributions of these parameters using a high-density observation network, it should be possible to predict the occurrence of heavy rainfall rapidly and accurately.
机译:使用从日本东京的高密度气象观测获得的2011-2013年7月至8月的数据,检查了典型暴雨情况下强降雨的发生与地表风的收敛和水汽浓度之间的关系。此外,比较了有和没有强降雨事件之间,日间风会聚和水汽的时间变化。与暴雨区域相对应,在大雨之前,地面风的收敛趋向于增加数十分钟。在大雨发生前10-30分钟观察到收敛峰,并且收敛持续增加约30分钟,直到收敛峰值时间为止。在大雨区域附近,水汽浓度指数的增加与收敛的增加同时发生。根据这些结果,通过使用高密度观测网络监视这些参数的时间变化和分布,应该可能迅速而准确地预测暴雨的发生。

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