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Evaluation of the dual-polarization weather radar quantitative precipitation estimation using long-term datasets

机译:使用长期数据集评估双极化气象雷达定量降水估计

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Accurate,?timely, and reliable precipitation observations are mandatory for hydrological forecast and early warning systems. In the case of convective precipitation, traditional rain gauge networks often miss precipitation maxima, due to density limitations and the high spatial variability of the rainfall field. Despite several limitations like attenuation or partial beam blocking, the use of C-band weather radar has become operational in most European weather services. Traditionally, weather-radar-based quantitative precipitation estimation (QPE) is derived from horizontal reflectivity data. Nevertheless, dual-polarization weather radar can overcome several shortcomings of the conventional horizontal-reflectivity-based estimation. As weather radar archives are growing, they are becoming increasingly important for climatological purposes in addition to operational use. For the first time, the present study analyses one of the longest datasets from fully operational polarimetric C-band weather radars; these are located in Estonia and Italy, in very different climate conditions and environments. The length of the datasets used in the study is 5 years for both Estonia and Italy. The study focuses on long-term observations of summertime precipitation and their quantitative estimations by polarimetric observations. From such derived QPEs, accumulations for 1?h, 24?h, and 1-month durations are calculated and compared with reference rain gauges to quantify uncertainties and evaluate performances. Overall, the radar products showed similar results in Estonia and Italy when compared to each other. The product where radar reflectivity and specific differential phase were combined based on a threshold exhibited the best agreement with gauge values in all accumulation periods. In both countries reflectivity-based rainfall QPE underestimated and specific differential-phase-based product overestimated gauge measurements.
机译:准确,?及时,可靠的降水观察是用于水文预测和预警系统的强制性。在对流降水的情况下,由于密度限制和降雨场的高空间变异,传统的雨量仪网络通常会错过降水最大值。尽管有几个像衰减或部分束阻挡的局限性,但C波段气象雷达的使用在大多数欧洲天气服务中都在运行。传统上,基于天气雷达的定量降水估计(QPE)来自水平反射率数据。然而,双极化气象雷达可以克服常规水平反射率的估计的几个缺点。随着天气雷达档案的增长,除了操作用途外,它们对气候目的越来越重要。目前的研究首次分析了完全操作极化电压C波段天气雷达最长的数据集之一;这些位于爱沙尼亚和意大利,在非常不同的气候条件和环境中。该研究中使用的数据集的长度为爱沙尼亚和意大利的5年。该研究侧重于夏季降水的长期观察及其通过偏振观测的定量估计。根据这种衍生的QPE,计算1?H,24℃和1个月持续时间的累积,并与参考雨量仪进行比较,以量化不确定性和评估性能。总的来说,雷达产品在相互相比时显示出在爱沙尼亚和意大利的结果。基于阈值组合雷达反射率和特定差异相的产品表现出所有累积时段中的仪表值最佳的达成最佳协议。在两国反射率的降雨量QPE低估和特定的差分期产品高估量测量测量。

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