Articles | Volume 13, issue 11
https://doi.org/10.5194/amt-13-5779-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-5779-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Oct 2020
Research article |
| 30 Oct 2020
| 30 Oct 2020
Commercial microwave links as a tool for operational rainfall monitoring in Northern Italy
Giacomo Roversi
Department of Physics and Astronomy, University of Bologna, Bologna, 40100, Italy
Pier Paolo Alberoni
Struttura Idro-Meteo-Clima, Arpae Emilia Romagna, Bologna, 40122, Italy
Anna Fornasiero
Struttura Idro-Meteo-Clima, Arpae Emilia Romagna, Bologna, 40122, Italy
Department of Physics and Astronomy, University of Bologna, Bologna, 40100, Italy
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Cited
21 citations as recorded by crossref.
- Hydrological response of a peri-urban catchment exploiting conventional and unconventional rainfall observations: the case study of Lambro Catchment G. Cazzaniga et al. 10.5194/hess-26-2093-2022
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- Improved rain event detection in commercial microwave link time series via combination with MSG SEVIRI data M. Graf et al. 10.5194/amt-17-2165-2024
- Advanced Real-Time Monitoring of Rainfall Using Commercial Satellite Broadcasting Service: A Case Study G. Gragnani et al. 10.3390/s21030691
- Reconstructing and Nowcasting the Rainfall Field by a CML Network P. Zhang et al. 10.1029/2023EA002909
- Comparison of CML Rainfall Data against Rain Gauges and Disdrometers in a Mountainous Environment R. Nebuloni et al. 10.3390/s22093218
- Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation M. Pasierb et al. 10.1002/met.2218
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. 10.1016/j.ejrh.2021.100883
- Transboundary Rainfall Estimation Using Commercial Microwave Links N. Blettner et al. 10.1029/2023EA002869
- Using Machine Learning Techniques for Rainfall Estimation Based on Microwave Links of Mobile Telecommunication Networks E. Kamtchoum et al. 10.1007/s42979-022-01458-6
- Combining Commercial Microwave Link and Rain Gauge Observations to Estimate Countrywide Precipitation: A Stochastic Reconstruction and Pattern Analysis Approach N. Blettner et al. 10.1029/2022WR032563
- Tropical rainfall monitoring with commercial microwave links in Sri Lanka A. Overeem et al. 10.1088/1748-9326/ac0fa6
- Recording Rainfall Intensity: Has an Optimum Method Been Found? D. Dunkerley 10.3390/w15193383
- Enhanced Estimation of Rainfall From Opportunistic Microwave Satellite Signals S. Angeloni et al. 10.1109/TGRS.2023.3349100
- Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction J. Pastorek et al. 10.1109/TGRS.2021.3110004
- Wildfire Smoke Particulate Matter Concentration Measurements Using Radio Links From Cellular Communication Networks A. Guyot et al. 10.1029/2020AV000258
- Low complexity single-layer neural network for enhanced rainfall estimation using microwave links A. Daher et al. 10.2166/hydro.2022.099
- Rainfall retrieval algorithm for commercial microwave links: stochastic calibration W. Wolff et al. 10.5194/amt-15-485-2022
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- Deep Learning for Opportunistic Rain Estimation via Satellite Microwave Links G. Scognamiglio et al. 10.3390/s24216944
21 citations as recorded by crossref.
- Hydrological response of a peri-urban catchment exploiting conventional and unconventional rainfall observations: the case study of Lambro Catchment G. Cazzaniga et al. 10.5194/hess-26-2093-2022
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- Improved rain event detection in commercial microwave link time series via combination with MSG SEVIRI data M. Graf et al. 10.5194/amt-17-2165-2024
- Advanced Real-Time Monitoring of Rainfall Using Commercial Satellite Broadcasting Service: A Case Study G. Gragnani et al. 10.3390/s21030691
- Reconstructing and Nowcasting the Rainfall Field by a CML Network P. Zhang et al. 10.1029/2023EA002909
- Comparison of CML Rainfall Data against Rain Gauges and Disdrometers in a Mountainous Environment R. Nebuloni et al. 10.3390/s22093218
- Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation M. Pasierb et al. 10.1002/met.2218
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. 10.1016/j.ejrh.2021.100883
- Transboundary Rainfall Estimation Using Commercial Microwave Links N. Blettner et al. 10.1029/2023EA002869
- Using Machine Learning Techniques for Rainfall Estimation Based on Microwave Links of Mobile Telecommunication Networks E. Kamtchoum et al. 10.1007/s42979-022-01458-6
- Combining Commercial Microwave Link and Rain Gauge Observations to Estimate Countrywide Precipitation: A Stochastic Reconstruction and Pattern Analysis Approach N. Blettner et al. 10.1029/2022WR032563
- Tropical rainfall monitoring with commercial microwave links in Sri Lanka A. Overeem et al. 10.1088/1748-9326/ac0fa6
- Recording Rainfall Intensity: Has an Optimum Method Been Found? D. Dunkerley 10.3390/w15193383
- Enhanced Estimation of Rainfall From Opportunistic Microwave Satellite Signals S. Angeloni et al. 10.1109/TGRS.2023.3349100
- Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction J. Pastorek et al. 10.1109/TGRS.2021.3110004
- Wildfire Smoke Particulate Matter Concentration Measurements Using Radio Links From Cellular Communication Networks A. Guyot et al. 10.1029/2020AV000258
- Low complexity single-layer neural network for enhanced rainfall estimation using microwave links A. Daher et al. 10.2166/hydro.2022.099
- Rainfall retrieval algorithm for commercial microwave links: stochastic calibration W. Wolff et al. 10.5194/amt-15-485-2022
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- Deep Learning for Opportunistic Rain Estimation via Satellite Microwave Links G. Scognamiglio et al. 10.3390/s24216944
Latest update: 13 Dec 2024
Short summary
The microwave signal travelling between two antennas of the commercial mobile backhaul network is strongly attenuated by rainfall. The open-source RAINLINK algorithm extracts rainfall rate maps, processing the attenuation data recorded by the transmission system. In this work, we applied RAINLINK to 357 Vodafone links in northern Italy and compared the outputs with the operational rain products of the local weather service (Arpae), outlining pros and cons and discussing error structure.
The microwave signal travelling between two antennas of the commercial mobile backhaul network...
