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首页> 外文期刊>Journal of hydrometeorology >Quantitative Analysis of the Performance of Spatial Interpolation Methods for Rainfall Estimation Using Commercial Microwave Links
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Quantitative Analysis of the Performance of Spatial Interpolation Methods for Rainfall Estimation Using Commercial Microwave Links

机译：使用商业微波链路进行降雨估计空间插值方法性能的定量分析

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Using signal level measurements from commercial microwave links (CMLs) has proven to be a valuable tool for near-ground 2D rain mapping. Such mapping is commonly based on spatial interpolation methods, where each CML is considered as a point measurement instrument located at its center. The validity of the resulted maps is tested against radar observations. However, since radar has limitations, accuracy of CML-based reconstructed rain maps remains unclear. Here we provide a quantitative comparison of the performance of CML-based spatial interpolation methods for rain mapping by conducting a systematic analysis: first by quantifying the performance of maps generated from semisynthetic CML data, and thereafter turning to real-data analysis of the same rain events. A radar product of the German Weather Service serves as ground truth for generating semisynthetic data, in which several temporal aggregations of the radar rainfall fields are used to create different decorrelation distances. The study was done over an area of 225 x 245 km(2) in southern Germany, with 808 CMLs. We compare the performance of two spatial interpolation methods-inverse distance weighting and ordinary kriging-in two cases: where each CML is represented as a single point, and where three points are used. The points' measurements values in the latter are determined using an iterative algorithm. The analysis of both cases is based on a 48-h rain event. The results reconfirm the validity of CML-based rain retrieval, showing a slight systematic performance improvement when an iterative algorithm is applied so each CML is represented by more than a single point, independent of the interpolation method.
机译：使用商业微波链路（CML）的信号电平测量已被证明是近地面二维降雨测绘的一个有价值的工具。这种映射通常基于空间插值方法，其中每个CML被视为位于其中心的点测量仪器。结果地图的有效性通过雷达观测进行了检验。然而，由于雷达的局限性，基于CML的重建降雨图的准确性仍然不清楚。在这里，我们通过进行系统分析，对基于CML的降雨制图空间插值方法的性能进行了定量比较：首先，通过量化半合成CML数据生成的地图的性能，然后转向对相同降雨事件的真实数据分析。德国气象局（German Weather Service）的一款雷达产品可作为生成半合成数据的地面真相，在该数据中，雷达降雨场的几个时间聚合被用于创建不同的去相关距离。这项研究是在德国南部225 x 245 km（2）的区域进行的，共有808 cml。我们比较了两种空间插值方法——逆距离加权法和普通克里格法在两种情况下的性能：每个CML表示为一个点，以及使用三个点。后者中的点测量值使用迭代算法确定。这两种情况的分析都是基于一次48小时的降雨事件。结果再次确认了基于CML的雨水反演的有效性，表明当采用迭代算法时，系统性能略有改善，因此每个CML由多个单点表示，与插值方法无关。

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