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Statistical analysis and modelling of weather radar beam propagation conditions in the Po Valley (Italy)

机译:意大利波谷天气雷达波束传播情况的统计分析和建模

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摘要

Ground clutter caused by anomalous propagation (anaprop) can affect seriously radar rain rate estimates, particularly in fully automatic radar processing systems, and, if not filtered, can produce frequent false alarms. A statistical study of anomalous propagation detected from two operational C-band radars in the northern Italian region of Emilia Romagna is discussed, paying particular attention to its diurnal and seasonal variability. The analysis shows a high incidence of anaprop in summer, mainly in the morning and evening, due to the humid and hot summer climate of the Po Valley, particularly in the coastal zone. Thereafter, a comparison between different techniques and datasets to retrieve the vertical profile of the refractive index gradient in the boundary layer is also presented. In particular, their capability to detect anomalous propagation conditions is compared. Furthermore, beam path trajectories are simulated using a multilayer ray-tracing model and the influence of the propagation conditions on the beam trajectory and shape is examined. High resolution radiosounding data are identified as the best available dataset to reproduce accurately the local propagation conditions, while lower resolution standard TEMP data suffers from interpolation degradation and Numerical Weather Prediction model data (Lokal Model) are able to retrieve a tendency to superrefraction but not to detect ducting conditions. Observing the ray tracing of the centre, lower and upper limits of the radar antenna 3-dB half-power main beam lobe it is concluded that ducting layers produce a change in the measured volume and in the power distribution that can lead to an additional error in the reflectivity estimate and, subsequently, in the estimated rainfall rate.
机译:由异常传播(anaprop)引起的地物杂波会严重影响雷达的降雨率估计,尤其是在全自动雷达处理系统中,并且如果不进行过滤,还会产生频繁的误报。讨论了从意大利北部艾米利亚-罗马涅(Emilia Romagna)的两个运行中的C波段雷达检测到的异常传播的统计研究,并特别关注了其昼夜变化和季节变化。分析表明,由于波谷(Po Valley)夏季潮湿炎热的气候,特别是在沿海地区,夏季苯丙醇的发生率很高,主要是在早晨和晚上。此后,还介绍了在检索边界层中折射率梯度的垂直轮廓的不同技术和数据集之间的比较。特别是,比较了它们检测异常传播条件的能力。此外,使用多层射线跟踪模型模拟了束路径轨迹,并研究了传播条件对束轨迹和形状的影响。高分辨率的无线电声音数据被认为是最好的可用数据集,可以准确地再现当地的传播条件,而分辨率较低的标准TEMP数据则受到插值退化的影响,数值天气预报模型数据(Lokal模型)能够获取超折射趋势,但不能检测管道状况。观察雷达天线3 dB半功率主波束瓣的中心,下限和上限的射线追踪,可以得出结论,导管层会导致被测体积和功率分布发生变化,从而导致额外的误差在反射率估计中,然后在估计的降雨率中。

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