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Damaris Zulkarnaen6/24/26, 2:15 PMProcessing methods
Official rain gauge networks are usually too sparse to capture the spatio-temporal variability of precipitation. To increase network density and thus improve quantitative precipitation estimates, auxiliary data from so-called opportunistic sensors can be deployed. Crowdsourced personal weather stations (PWS) are an example of such opportunistic sensors. In recent years PWS have outnumbered...
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Congzheng Han6/24/26, 2:15 PMProcessing methods
While traditional rainfall retrieval from CMLs relies on physics-based models, these often struggle with real-world complexities like signal noise and nonlinear attenuation. To address these limitations, this study proposes using AI algorithms for rainfall detection and estimation. This work first presents an unsupervised framework for classifying the wet–dry periods of CML based on...
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Christian Chwala (KIT (IMK-IFU))6/24/26, 2:15 PMProcessing methods
The project MERGOSAT (Merging of rain rate estimates from opportunistic sensors and geostationary satellites) has the overarching goal to develop novel methods for the generation of improved near-real-time rainfall maps for data-scarce regions via a combination of data from geostationary satellites (GEOsat) and opportunistic ground-based sensors, namely commercial microwave links (CMLs) and...
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Mr Konstantin Romantsov (Tel Aviv University)6/24/26, 2:15 PMComparative performance analysis and uncertainty assessment
This work is part of the EU-I-CHANGE Living-Labs project in Jerusalem-Israel, including citizens-science data along with cellular providers. Cellular network data enables high spatial resolution humidity monitoring, compared to low-spatial resolution observations from surface stations. Contrary to stations, commercial microwave link (CML) is with high spatial resolution. Humidity is an...
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Tanja Winterrath (Deutscher Wetterdienst)6/24/26, 2:15 PMComparative performance analysis and uncertainty assessment
Within the framework of the COST Innovators Grant (CIG) setGMDI, the Global Microwave Data collection Initiative (GMDI) will be implemented and applied to advance the project’s objectives. GMDI aims at collecting CML data from Mobile Network Operators (MNO), performing data analysis, data archiving, and deriving and providing gridded precipitation data. Within the CIG GMDI will start...
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Liora Mazangia6/24/26, 2:15 PMComparative performance analysis and uncertainty assessment
Wireless Commercial Microwave Links (CMLs) can serve as opportunistic environmental sensors, as signal attenuation along links can be exploited to infer precipitation intensity with high spatial resolution and low implementation cost. While rain-induced attenuation has been extensively modeled, the impact of hail on signal propagation remains largely unexplored, despite the significant...
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Mr Rodrigo Xavier (Universidade Federal do Ceará, Université de Toulouse)6/24/26, 2:15 PMProcessing methods
Traditional rain gauges are often challenged in terms of coverage and maintenance, especially in tropical urban and remote areas. In this context, opportunistic acoustic sensing using, e.g., wildlife recording devices or even cell phones, could offer a scalable alternative to complement them and alleviate such challenges. However, acoustic-based rainfall detection, classification, and...
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Matej Istvanek (Brno University of Technology)6/24/26, 2:15 PMComparative performance analysis and uncertainty assessment
Commercial microwave links enable opportunistic, city-scale rainfall sensing, but controlled evaluation of interpolation and visualization behavior is difficult with real data. We present SynthRain, a synthetic simulation pipeline created to generate dense, city-like CML network scenarios together with configurable rainfall fields and noisy link observations. SynthRain supports systematic...
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Matej Istvanek (Brno University of Technology), Petr Musil (Brno University of Technology, Department of Telecommunications)6/24/26, 2:15 PMComparative performance analysis and uncertainty assessment
Dense observations of near-surface air temperature are essential for studying local climate variability, yet conventional meteorological station networks remain spatially sparse. We present TelcoTemp, a system that derives air temperature observations from operational telemetry of telecommunication microwave link networks.
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Microwave link units continuously record internal device temperatures... -
Simon De Corte (Department of Geography, Ghent University, Belgium)6/24/26, 2:15 PMComparative performance analysis and uncertainty assessment
Accurate precipitation estimation remains inherently uncertain, particularly at high spatial and temporal resolution. Although the Belgian radar network is relatively dense, radar shadow mapping reveals beam blockage of up to 20% in eastern Wallonia. These limitations motivate the integration of complementary observation systems. Commercial Microwave Links (CMLs) provide an opportunistic...
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