Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2931-2020
© 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/hess-24-2931-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2020
Research article |
| 04 Jun 2020
| 04 Jun 2020
Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Christian Chwala
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Chair of Regional Climate and Hydrology, Institute of Geography, University Augsburg, Augsburg, Germany
Julius Polz
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Harald Kunstmann
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Chair of Regional Climate and Hydrology, Institute of Geography, University Augsburg, Augsburg, Germany
Viewed
Total article views: 6,350 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Aug 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,868 | 1,402 | 80 | 6,350 | 96 | 94 |
- HTML: 4,868
- PDF: 1,402
- XML: 80
- Total: 6,350
- BibTeX: 96
- EndNote: 94
Total article views: 4,808 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,870 | 871 | 67 | 4,808 | 75 | 76 |
- HTML: 3,870
- PDF: 871
- XML: 67
- Total: 4,808
- BibTeX: 75
- EndNote: 76
Total article views: 1,542 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Aug 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 998 | 531 | 13 | 1,542 | 21 | 18 |
- HTML: 998
- PDF: 531
- XML: 13
- Total: 1,542
- BibTeX: 21
- EndNote: 18
Viewed (geographical distribution)
Total article views: 6,350 (including HTML, PDF, and XML)
Thereof 5,476 with geography defined
and 874 with unknown origin.
Total article views: 4,808 (including HTML, PDF, and XML)
Thereof 4,256 with geography defined
and 552 with unknown origin.
Total article views: 1,542 (including HTML, PDF, and XML)
Thereof 1,220 with geography defined
and 322 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
50 citations as recorded by crossref.
- Water vapor estimation based on 1-year data of E-band millimeter wave link in North China S. Zheng et al. 10.5194/amt-15-1675-2022
- 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
- Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
- Tropical rainfall monitoring with commercial microwave links in Sri Lanka A. Overeem et al. 10.1088/1748-9326/ac0fa6
- 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
- Transboundary Rainfall Estimation Using Commercial Microwave Links N. Blettner et al. 10.1029/2023EA002869
- Research on Rainfall Monitoring Based on E-Band Millimeter Wave Link in East China S. Zheng et al. 10.3390/s21051670
- Harnessing the Radio Frequency Power Level of Cellular Terminals for Weather Parameter Sensing A. Sakkas et al. 10.3390/electronics13050840
- Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation M. Pasierb et al. 10.1002/met.2218
- In-City Rain Mapping from Commercial Microwave Links—Challenges and Opportunities R. Janco et al. 10.3390/s23104653
- 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
- Intensity estimation after detection for accumulated rainfall estimation T. Weiss et al. 10.3389/frsip.2024.1291878
- Rain event detection in commercial microwave link attenuation data using convolutional neural networks J. Polz et al. 10.5194/amt-13-3835-2020
- Exploring Environmental Information From Smartphone Signals: A Light Indoor Stationary Experimental Study for Rainfall Detection K. Pu et al. 10.1109/LGRS.2024.3455431
- Rainfall retrieval using commercial microwave links: Effect of sampling strategy on retrieval accuracy J. Pudashine et al. 10.1016/j.jhydrol.2021.126909
- Real-Time Rainfall Estimation Using Microwave Links: A Case Study in East China during the Plum Rain Season in 2020 K. Song et al. 10.3390/s21030858
- From proof‐of‐concept to proof‐of‐value: Approaching third‐party data to operational workflows of national meteorological services I. Garcia‐Marti et al. 10.1002/joc.7757
- Precipitation measurements experiment using microwave links in Eastern China from October 2020 to March 2022 K. Pu & X. Liu 10.1016/j.jhydrol.2024.131922
- A Statistical Approach to Retrieve Rainfall Intensity by Attenuation Measurements From Commercial Microwave Links X. Zheng et al. 10.1029/2023EF003718
- New Insights Into the Dynamics of Wet Antenna Attenuation Based on In Situ Estimations Provided by the Dedicated Field Experiment ATTRRA2 J. Tiede et al. 10.1109/LGRS.2023.3320755
- 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
- Missing Rainfall Extremes in Commercial Microwave Link Data Due To Complete Loss of Signal J. Polz et al. 10.1029/2022EA002456
- Atmospheric Observations of Weather and Climate H. Bluestein et al. 10.1080/07055900.2022.2082369
- Frühwarnung mit Mobilfunknetzdaten - HoWa-innovativ U. Müller et al. 10.1007/s35147-023-1909-0
- Regenmessung im Mobilfunknetz M. Graf et al. 10.1002/piuz.202001602
- A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations A. Špačková et al. 10.5194/essd-13-4219-2021
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. 10.1016/j.ejrh.2021.100883
- Comparison of CML Rainfall Data against Rain Gauges and Disdrometers in a Mountainous Environment R. Nebuloni et al. 10.3390/s22093218
- 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
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- Detection and attribution of cereal yield losses using Sentinel-2 and weather data: A case study in South Australia K. Duan et al. 10.1016/j.isprsjprs.2024.05.021
- Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results F. Diba et al. 10.1109/ACCESS.2021.3076781
- EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset A. Overeem et al. 10.5194/essd-15-1441-2023
- The divergence of energy- and water-balance evapotranspiration estimates in humid regions L. Zhang et al. 10.1016/j.jhydrol.2023.129971
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- Evaluation of error components in rainfall retrieval from collocated commercial microwave links A. Špačková et al. 10.5194/amt-16-3865-2023
- Reconstructing and Nowcasting the Rainfall Field by a CML Network P. Zhang et al. 10.1029/2023EA002909
- Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction J. Pastorek et al. 10.1109/TGRS.2021.3110004
- 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
- Challenges in Diurnal Humidity Analysis from Cellular Microwave Links (CML) over Germany Y. Rubin et al. 10.3390/rs14102353
- Rainfall Monitoring Using a Microwave Links Network: A Long-Term Experiment in East China X. Liu et al. 10.1007/s00376-023-2104-z
- Applicability of the γ–R Relationship in Rainfall Measurement With Microwave Link Under Tilted Conditions: A Simulation Analysis K. Pu et al. 10.1109/TGRS.2023.3330575
- Measuring rainfall using microwave links: the influence of temporal sampling L. van der Valk et al. 10.5194/amt-17-2811-2024
- Earth-to-Earth Microwave Rain Attenuation Measurements: A Survey On the Recent Literature V. Christofilakis et al. 10.3390/sym12091440
- Deep Learning for an Improved Prediction of Rainfall Retrievals From Commercial Microwave Links J. Pudashine et al. 10.1029/2019WR026255
- Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. 10.3390/rs13152953
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
45 citations as recorded by crossref.
- Water vapor estimation based on 1-year data of E-band millimeter wave link in North China S. Zheng et al. 10.5194/amt-15-1675-2022
- 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
- Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
- Tropical rainfall monitoring with commercial microwave links in Sri Lanka A. Overeem et al. 10.1088/1748-9326/ac0fa6
- 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
- Transboundary Rainfall Estimation Using Commercial Microwave Links N. Blettner et al. 10.1029/2023EA002869
- Research on Rainfall Monitoring Based on E-Band Millimeter Wave Link in East China S. Zheng et al. 10.3390/s21051670
- Harnessing the Radio Frequency Power Level of Cellular Terminals for Weather Parameter Sensing A. Sakkas et al. 10.3390/electronics13050840
- Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation M. Pasierb et al. 10.1002/met.2218
- In-City Rain Mapping from Commercial Microwave Links—Challenges and Opportunities R. Janco et al. 10.3390/s23104653
- 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
- Intensity estimation after detection for accumulated rainfall estimation T. Weiss et al. 10.3389/frsip.2024.1291878
- Rain event detection in commercial microwave link attenuation data using convolutional neural networks J. Polz et al. 10.5194/amt-13-3835-2020
- Exploring Environmental Information From Smartphone Signals: A Light Indoor Stationary Experimental Study for Rainfall Detection K. Pu et al. 10.1109/LGRS.2024.3455431
- Rainfall retrieval using commercial microwave links: Effect of sampling strategy on retrieval accuracy J. Pudashine et al. 10.1016/j.jhydrol.2021.126909
- Real-Time Rainfall Estimation Using Microwave Links: A Case Study in East China during the Plum Rain Season in 2020 K. Song et al. 10.3390/s21030858
- From proof‐of‐concept to proof‐of‐value: Approaching third‐party data to operational workflows of national meteorological services I. Garcia‐Marti et al. 10.1002/joc.7757
- Precipitation measurements experiment using microwave links in Eastern China from October 2020 to March 2022 K. Pu & X. Liu 10.1016/j.jhydrol.2024.131922
- A Statistical Approach to Retrieve Rainfall Intensity by Attenuation Measurements From Commercial Microwave Links X. Zheng et al. 10.1029/2023EF003718
- New Insights Into the Dynamics of Wet Antenna Attenuation Based on In Situ Estimations Provided by the Dedicated Field Experiment ATTRRA2 J. Tiede et al. 10.1109/LGRS.2023.3320755
- 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
- Missing Rainfall Extremes in Commercial Microwave Link Data Due To Complete Loss of Signal J. Polz et al. 10.1029/2022EA002456
- Atmospheric Observations of Weather and Climate H. Bluestein et al. 10.1080/07055900.2022.2082369
- Frühwarnung mit Mobilfunknetzdaten - HoWa-innovativ U. Müller et al. 10.1007/s35147-023-1909-0
- Regenmessung im Mobilfunknetz M. Graf et al. 10.1002/piuz.202001602
- A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations A. Špačková et al. 10.5194/essd-13-4219-2021
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. 10.1016/j.ejrh.2021.100883
- Comparison of CML Rainfall Data against Rain Gauges and Disdrometers in a Mountainous Environment R. Nebuloni et al. 10.3390/s22093218
- 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
- Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. 10.5194/hess-28-649-2024
- Detection and attribution of cereal yield losses using Sentinel-2 and weather data: A case study in South Australia K. Duan et al. 10.1016/j.isprsjprs.2024.05.021
- Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results F. Diba et al. 10.1109/ACCESS.2021.3076781
- EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset A. Overeem et al. 10.5194/essd-15-1441-2023
- The divergence of energy- and water-balance evapotranspiration estimates in humid regions L. Zhang et al. 10.1016/j.jhydrol.2023.129971
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- Evaluation of error components in rainfall retrieval from collocated commercial microwave links A. Špačková et al. 10.5194/amt-16-3865-2023
- Reconstructing and Nowcasting the Rainfall Field by a CML Network P. Zhang et al. 10.1029/2023EA002909
- Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction J. Pastorek et al. 10.1109/TGRS.2021.3110004
- 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
- Challenges in Diurnal Humidity Analysis from Cellular Microwave Links (CML) over Germany Y. Rubin et al. 10.3390/rs14102353
- Rainfall Monitoring Using a Microwave Links Network: A Long-Term Experiment in East China X. Liu et al. 10.1007/s00376-023-2104-z
- Applicability of the γ–R Relationship in Rainfall Measurement With Microwave Link Under Tilted Conditions: A Simulation Analysis K. Pu et al. 10.1109/TGRS.2023.3330575
- Measuring rainfall using microwave links: the influence of temporal sampling L. van der Valk et al. 10.5194/amt-17-2811-2024
5 citations as recorded by crossref.
- Earth-to-Earth Microwave Rain Attenuation Measurements: A Survey On the Recent Literature V. Christofilakis et al. 10.3390/sym12091440
- Deep Learning for an Improved Prediction of Rainfall Retrievals From Commercial Microwave Links J. Pudashine et al. 10.1029/2019WR026255
- Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. 10.3390/rs13152953
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
- Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
Latest update: 23 Nov 2024
Short summary
Commercial microwave links (CMLs), which form large parts of the backhaul from the ubiquitous cellular communication networks, can be used to estimate path-integrated rainfall rates. This study presents the processing and evaluation of the largest CML data set to date, covering the whole of Germany with almost 4000 CMLs. The CML-derived rainfall information compares well to a standard precipitation data set from the German Meteorological Service, which combines radar and rain gauge data.
Commercial microwave links (CMLs), which form large parts of the backhaul from the ubiquitous...
