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Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany

机译:使用微波回程链路在德国南部的高山和高山前地区进行降水观测

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摘要

Measuring rain rates over complex terrain is afflicted with large uncertainties, because rain gauges are influenced by orography and weather radars are mostly not able to look into mountain valleys. We apply a new method to estimate near surface rain rates exploiting attenuation data from commercial microwave links in the alpine region of Southern Germany. Received signal level (RSL) data are recorded minutely with small data loggers at the towers and then sent to a database server via GSM (Global System for Mobile Communications). Due to the large RSL fluctuations in periods without rain, the determination of attenuation caused by precipitation is not straightforward. To be able to continuously process the RSL data from July 2010 to October 2010, we introduce a new method to detect wet and dry periods using spectral time series analysis. Its performance and limitations are presented, showing that the mean detection error rates of wet and dry periods can be reduced to 10% for all five links. After, the wet/dry classification rain rates are derived from the RSL and compared to rain gauge and weather radar measurements. The resulting correlations differ for different links and reach values of R2 = 0.81 for the link-gauge comparison and R~2 = 0.85 for the link-radar comparison.
机译:由于复杂的地形影响着雨量计,而且天气雷达大多无法望见山谷,因此测量复杂地形上的降雨率存在很大的不确定性。我们采用了一种新方法来估算近地表降雨率,该方法利用了德国南部高山地区商业微波链路的衰减数据。接收的信号电平(RSL)数据由塔上的小型数据记录器记录下来,然后通过GSM(全球移动通信系统)发送到数据库服务器。由于无雨期间的RSL波动较大,因此确定降水造成的衰减并不容易。为了能够连续处理2010年7月至2010年10月的RSL数据,我们引入了一种使用光谱时间序列分析来检测干湿期的新方法。给出了它的性能和局限性,表明对于所有五个链接,干,湿期的平均检测错误率都可以降低到10%。之后,根据RSL得出干/湿分类雨率,并将其与雨量计和天气雷达测量值进行比较。对于不同的链路,所得的相关性不同,对于链路规比较,达到R2 = 0.81,对于链路雷达比较,达到R〜2 = 0.85。

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