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The value of weather radar data for the estimation of design storms - an analysis for the Hannover region

机译:天气雷达数据在设计风暴估计中的价值-汉诺威地区的分析

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摘要

Pure radar rainfall, station rainfall and radar-station merging products are analysed regarding extreme rainfall frequencies with durations from 5 min to 6 h and return periods from 1 year to 30 years. Partial duration series of the extremes are derived from the data and probability distributions are fitted. The performance of the design rainfall estimates is assessed based on cross validations for observed station points, which are used as reference. For design rainfall estimation using the pure radar data, the pixel value at the station location is taken; for the merging products, spatial interpolation methods are applied. The results show, that pure radar data are not suitable for the estimation of extremes. They usually lead to an overestimation compared to the observations, which is opposite to the usual behaviour of the radar rainfall. The merging products between radar and station data on the other hand lead usually to an underestimation. They can only outperform the station observations for longer durations. The main problem for a good estimation of extremes seems to be the poor radar data quality.
机译:分析了纯雷达雨量,台站雨量和雷达台站合并产品的极端降雨频率,其持续时间为5分钟至6小时,返回期为1年至30年。极端的部分持续时间序列是从数据中得出的,并拟合了概率分布。设计降雨估算的性能是基于对观测站点的交叉验证进行评估的,这些参考可用作参考。对于使用纯雷达数据进行的设计降雨估算,将采用站点位置的像素值;对于合并的产品,将应用空间插值方法。结果表明,纯雷达数据不适合估算极端值。与观测值相比,它们通常会导致高估,这与雷达降雨的通常行为相反。另一方面,雷达和台站数据之间的合并产品通常会导致低估。它们只能在更长的时间内胜过台站观测。良好估算极端情况的主要问题似乎是不良的雷达数据质量。

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