Second International Conference on Opportunistic Sensing of Precipitation - OpenSense 2026

Session

Coffee poster session #2 @ Combizalen

Jun 24, 2026, 2:15 PM

Building A (Royal Netherlands Meteorological Institute)

11. A benchmarking framework for PWS quality control algorithms

Damaris Zulkarnaen

6/24/26, 2:15 PM

Processing 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...

40. An overview of the MERGOSAT project and first results for improved wet-dry classification using SEVIRI data, SML attenuation in the melting layer and novel wet antenna attenuation simulations

Christian Chwala (KIT (IMK-IFU))

6/24/26, 2:15 PM

Processing 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...

24. Comparison of cellular microwave link (CML), meteorological, and model data of absolute humidity values in urban Jerusalem

Mr Konstantin Romantsov (Tel Aviv University)

6/24/26, 2:15 PM

Comparative 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...

49. Rainfall acoustic classification in semi-urban and forest soundscapes with machine learning

Mr Rodrigo Xavier (Universidade Federal do Ceará, Université de Toulouse)

6/24/26, 2:15 PM

Processing 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...

8. SynthRain: a synthetic testbed for opportunistic rainfall mapping with dense city-scale CML networks

Matej Istvanek (Brno University of Technology)

6/24/26, 2:15 PM

Comparative 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...

50. TelcoTemp: opportunistic air temperature monitoring from operational microwave link networks

Matej Istvanek (Brno University of Technology), Petr Musil (Brno University of Technology, Department of Telecommunications)

6/24/26, 2:15 PM

Comparative 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.
Microwave link units continuously record internal device temperatures...

15. Using commercial microwave links for quantitative rainfall estimation in Belgium: optimisation and calibration

Simon De Corte (Department of Geography, Ghent University, Belgium)

6/24/26, 2:15 PM

Comparative 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...