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A numerical method to generate high temporal resolution precipitation time series by combining weather radar measurements with a nowcast model

机译:通过将天气雷达测量值与临近预报模型相结合来生成高时间分辨率降水时间序列的数值方法

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The topic of this paper is temporal interpolation of precipitation observed by weather radars. Precipitation measurements with high spatial and temporal resolution are, in general, desired for urban drainage applications. An advection-based interpolation method is developed which uses methods for vector field estimation already known from short-term weather radar nowcasting. However, instead of forecasting the weather radar rainfall, the proposed interpolation method exploits the advection of the rainfall in the interpolation. The interpolated rainfall fields are validated by measurements at ground level from laser disdrometers. The proposed interpolation method performs better when compared to traditional interpolation of weather radar rainfall where the radar observation is considered constant in time between measurements. It is demonstrated that the advection-based interpolation method reconstructs a significant part of the temporal variations of the rainfall. Moreover, the interpolated precipitation fields estimate accumulated rain depths more accurately.
机译:本文的主题是天气雷达观测到的降水的时间插值。通常,城市排水应用需要具有高时空分辨率的降水测量。开发了一种基于对流的插值方法,该方法使用从短期天气雷达临近预报中已知的矢量场估计方法。然而,所提出的插值方法没有预测天气雷达的降雨量,而是在插值中利用了降雨的对流。内插的降雨场通过激光测速计在地面上的测量来验证。与传统的天气雷达降雨插值方法相比,该方法的插值方法效果更好,在传统的天气雷达降雨插值方法中,雷达观测被认为是两次测量之间的时间常数。结果表明,基于对流的插值方法重建了降雨时间变化的重要部分。此外,内插的降水场更准确地估算了累积的雨深。

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