Rainfall Field Reconstruction by Opportunistic Use of the Rain-Induced Attenuation on Microwave Satellite Signals: The July 2021 Extreme Rain Event in Germany as a Case Study

Fabiola Sapienza, G. Bacci, F. Giannetti, V. Lottici, A. Colicelli, A. Vaccaro, M. Gammone, Nicola Davini, O. Picchi, Giovanni Serafino, F. Caparrini, A. Antonini, A. Mazza, S. Melani, A. Ortolani, E. Adirosi, L. Baldini, G. Rallo, F. Policelli, G. Huffman
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Abstract

This paper presents a practical application of an opportunistic technique for the estimation of rainfall intensity and accumulated precipitation. The proposed technique is based upon signal strength measurements made by commercial-grade interactive satellite terminals. By applying some processing, the rain-induced attenuation on the microwave downlink from the satellite is first evaluated; then the rain attenuation is eventually mapped into a rainfall rate estimate via a tropospheric model. This methodology has been applied to a test area of 30 ×30 km2 around the city of Dortmund (North Rhine-Westphalia, upper basin of Ermscher river), for the heavy rain event that devastated western Germany in July, 2021. A rainfall map on this area is obtained from the measurements collected by a set of satellite terminals deployed in the region, and successfully compared with a map obtained with a conventional weather radar.
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基于微波卫星信号雨致衰减的降雨场重建——以德国2021年7月极端降雨事件为例
本文介绍了一种估算降雨强度和累积降水的机会技术的实际应用。所提出的技术是基于商业级交互卫星终端的信号强度测量。通过一些处理,首先对来自卫星的微波下行链路的雨致衰减进行了评估;然后,雨水衰减最终通过对流层模式映射成降雨率估计。该方法已应用于多特蒙德市(北莱茵-威斯特伐利亚州,Ermscher河上游盆地)周围30 ×30平方公里的测试区域,用于2021年7月摧毁德国西部的暴雨事件。该地区的雨量图是根据部署在该地区的一组卫星终端收集的测量数据绘制的,并成功地与传统气象雷达绘制的雨量图进行了比较。
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