Articles | Volume 19, issue 8
https://doi.org/10.5194/hess-19-3571-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-3571-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Aug 2015
Research article |
| 14 Aug 2015
Measurement and interpolation uncertainties in rainfall maps from cellular communication networks
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, 6708 PB Wageningen, the Netherlands
A. Overeem
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, 6708 PB Wageningen, the Netherlands
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, 3731 GA De Bilt, the Netherlands
H. Leijnse
R&D Observations and Data Technology, Royal Netherlands Meteorological Institute, 3731 GA De Bilt, the Netherlands
R. Uijlenhoet
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, 6708 PB Wageningen, the Netherlands
Viewed
Total article views: 3,507 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Mar 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,012 | 1,382 | 113 | 3,507 | 132 | 122 |
- HTML: 2,012
- PDF: 1,382
- XML: 113
- Total: 3,507
- BibTeX: 132
- EndNote: 122
Total article views: 2,904 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Aug 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,715 | 1,090 | 99 | 2,904 | 117 | 107 |
- HTML: 1,715
- PDF: 1,090
- XML: 99
- Total: 2,904
- BibTeX: 117
- EndNote: 107
Total article views: 603 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Mar 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 297 | 292 | 14 | 603 | 15 | 15 |
- HTML: 297
- PDF: 292
- XML: 14
- Total: 603
- BibTeX: 15
- EndNote: 15
Cited
29 citations as recorded by crossref.
- Rainfall measurement using cell phone links: classification of wet and dry periods using geostationary satellites T. van het Schip et al. 10.1080/02626667.2017.1329588
- Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network A. Overeem et al. 10.5194/amt-9-2425-2016
- Rainfall retrieval with commercial microwave links in São Paulo, Brazil M. Rios Gaona et al. 10.5194/amt-11-4465-2018
- The Potential of Knowing More: A Review of Data-Driven Urban Water Management S. Eggimann et al. 10.1021/acs.est.6b04267
- Rainfall Estimation Accuracy of a Nationwide Instantaneously Sampling Commercial Microwave Link Network: Error Dependency on Known Characteristics L. de Vos et al. 10.1175/JTECH-D-18-0197.1
- Short-term rainfall prediction using MLA based on commercial microwave links of mobile telecommunication networks E. Kamtchoum et al. 10.1007/s42865-022-00047-y
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- On the potential of commercial microwave link networks for high spatial resolution rainfall monitoring in urban areas X. Zheng et al. 10.1016/j.atmosres.2022.106289
- genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real‐Time for Hydrological Forecasting Purposes B. van Osnabrugge et al. 10.1002/2017WR021201
- A Machine Learning Approach for the Classification of Wet and Dry Periods Using Commercial Microwave Link Data E. Kamtchoum et al. 10.1007/s42979-022-01143-8
- Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges C. Chwala & H. Kunstmann 10.1002/wat2.1337
- The effect of differences between rainfall measurement techniques on groundwater and discharge simulations in a lowland catchment C. Brauer et al. 10.1002/hyp.10898
- Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. 10.3390/rs13152953
- A Review on Rainfall Measurement Based on Commercial Microwave Links in Wireless Cellular Networks B. Lian et al. 10.3390/s22124395
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
- High‐Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small‐Scale Urban Rainfall L. de Vos et al. 10.1029/2018WR023393
- Exploring the impact of rainfall intensity on the attenuation-rainfall relationship S. Nia & A. Shokri 10.1016/j.jqsrt.2025.109364
- Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
- The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation K. Kumah et al. 10.3390/rs13163274
- Two and a half years of country-wide rainfall maps using radio links from commercial cellular telecommunication networks A. Overeem et al. 10.1002/2016WR019412
- Evaluation of Rainfall Products Derived From Satellites and Microwave Links for The Netherlands M. Rios Gaona et al. 10.1109/TGRS.2017.2735439
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. 10.1002/wat2.1289
- Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data M. Graf et al. 10.5194/hess-24-2931-2020
- 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
- Rainfall retrieval using commercial microwave links: Effect of sampling strategy on retrieval accuracy J. Pudashine et al. 10.1016/j.jhydrol.2021.126909
- Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring H. Messer 10.3390/environments5070073
- A measurement campaign to assess sources of error in microwave link rainfall estimation T. van Leth et al. 10.5194/amt-11-4645-2018
- Uncertainties in discharge predictions based on microwave link rainfall estimates in a small urban catchment J. Pastorek et al. 10.1016/j.jhydrol.2022.129051
- 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
28 citations as recorded by crossref.
- Rainfall measurement using cell phone links: classification of wet and dry periods using geostationary satellites T. van het Schip et al. 10.1080/02626667.2017.1329588
- Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network A. Overeem et al. 10.5194/amt-9-2425-2016
- Rainfall retrieval with commercial microwave links in São Paulo, Brazil M. Rios Gaona et al. 10.5194/amt-11-4465-2018
- The Potential of Knowing More: A Review of Data-Driven Urban Water Management S. Eggimann et al. 10.1021/acs.est.6b04267
- Rainfall Estimation Accuracy of a Nationwide Instantaneously Sampling Commercial Microwave Link Network: Error Dependency on Known Characteristics L. de Vos et al. 10.1175/JTECH-D-18-0197.1
- Short-term rainfall prediction using MLA based on commercial microwave links of mobile telecommunication networks E. Kamtchoum et al. 10.1007/s42865-022-00047-y
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- On the potential of commercial microwave link networks for high spatial resolution rainfall monitoring in urban areas X. Zheng et al. 10.1016/j.atmosres.2022.106289
- genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real‐Time for Hydrological Forecasting Purposes B. van Osnabrugge et al. 10.1002/2017WR021201
- A Machine Learning Approach for the Classification of Wet and Dry Periods Using Commercial Microwave Link Data E. Kamtchoum et al. 10.1007/s42979-022-01143-8
- Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges C. Chwala & H. Kunstmann 10.1002/wat2.1337
- The effect of differences between rainfall measurement techniques on groundwater and discharge simulations in a lowland catchment C. Brauer et al. 10.1002/hyp.10898
- Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. 10.3390/rs13152953
- A Review on Rainfall Measurement Based on Commercial Microwave Links in Wireless Cellular Networks B. Lian et al. 10.3390/s22124395
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
- High‐Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small‐Scale Urban Rainfall L. de Vos et al. 10.1029/2018WR023393
- Exploring the impact of rainfall intensity on the attenuation-rainfall relationship S. Nia & A. Shokri 10.1016/j.jqsrt.2025.109364
- Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
- The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation K. Kumah et al. 10.3390/rs13163274
- Two and a half years of country-wide rainfall maps using radio links from commercial cellular telecommunication networks A. Overeem et al. 10.1002/2016WR019412
- Evaluation of Rainfall Products Derived From Satellites and Microwave Links for The Netherlands M. Rios Gaona et al. 10.1109/TGRS.2017.2735439
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. 10.1002/wat2.1289
- Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data M. Graf et al. 10.5194/hess-24-2931-2020
- 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
- Rainfall retrieval using commercial microwave links: Effect of sampling strategy on retrieval accuracy J. Pudashine et al. 10.1016/j.jhydrol.2021.126909
- Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring H. Messer 10.3390/environments5070073
- A measurement campaign to assess sources of error in microwave link rainfall estimation T. van Leth et al. 10.5194/amt-11-4645-2018
- Uncertainties in discharge predictions based on microwave link rainfall estimates in a small urban catchment J. Pastorek et al. 10.1016/j.jhydrol.2022.129051
Saved (final revised paper)
Saved (preprint)
Latest update: 21 Jan 2025
Short summary
Commercial cellular networks are built for telecommunication purposes. These kinds of networks have lately been used to obtain rainfall maps at country-wide scales. From previous studies, we now quantify the uncertainties associated with such maps. To do so, we divided the sources or error into two categories: from microwave link measurements and from mapping. It was found that the former is the source that contributes the most to the overall error in rainfall maps from microwave link network.
Commercial cellular networks are built for telecommunication purposes. These kinds of networks...
