Evaluation of error components in rainfall retrieval from collocated commercial microwave links

IF 3.2 3区地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES

Atmospheric Measurement Techniques Pub Date : 2023-08-23 DOI:10.5194/amt-16-3865-2023

Anna Spackova, M. Fencl, V. Bareš

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引用次数: 0

Abstract

Abstract. Opportunistic rainfall sensing using commercial microwave links (CMLs) operating in telecommunication networks has the potential to complement conventional rainfall monitoring; however, the diversity of sensors and their errors are difficult to handle. This analysis empirically evaluates errors in CML observations that manifest discrepancies between collocated sensors without reference to rainfall measurements. Collocated CMLs are evaluated as independent rainfall sensors and enable us to assess the effect of hardware homogeneity and measurement consistency using CML observations at 12 sites within a real telecommunication network in Prague. The evaluation considers 33 rainfall events distinguishing between stratiform and convective rainfall types in the period of 2014–2016, monitored at 1 min temporal resolution. Collocated CMLs of identical and different frequencies are evaluated, and different rainfall types are discussed. The collocated CMLs are in excellent agreement. The inherent error in rain-induced attenuation for paired independent CMLs is 0.4 dB. The high correlation of the rainfall intensity measurements between the collocated sensors was obtained in a range of 0.96 to 0.99, and the root mean square error ranges from 0.4 to 1.7 mm h−1. This confirms the homogeneous behaviour of the hardware in a real network. Therefore, the data of CMLs of the same characteristics can be processed with identical parameters for rainfall retrieval models.

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商用微波链路同步降水反演误差分量的评价

摘要利用在电信网络中运行的商业微波链路（CML）进行的机会降雨传感有可能补充传统的降雨监测；然而，传感器的多样性及其误差很难处理。该分析根据经验评估了CML观测中的误差，这些误差在没有参考降雨测量的情况下表现出并置传感器之间的差异。配置的CML被评估为独立的降雨传感器，使我们能够使用布拉格真实电信网络内12个站点的CML观测来评估硬件同质性和测量一致性的影响。该评估考虑了2014-2016年期间区分层状和对流降雨类型的33次降雨事件，在1 最小时间分辨率。对相同和不同频率的配置CML进行了评估，并讨论了不同的降雨类型。并置的CML非常一致。成对独立CML的降雨诱发衰减的固有误差为0.4 dB。在0.96至0.99的范围内获得了并置传感器之间的降雨强度测量的高度相关性，均方根误差在0.4至1.7的范围内毫米 h−1。这证实了硬件在真实网络中的同质行为。因此，对于降雨反演模型，可以用相同的参数处理具有相同特征的CML的数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-

CiteScore

7.10

自引率

18.40%

发文量

331

审稿时长

3 months

期刊介绍： Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.