Articles | Volume 16, issue 8
https://doi.org/10.5194/hess-16-2647-2012
© Author(s) 2012. 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-16-2647-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Aug 2012
Research article |
| 13 Aug 2012
Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany
C. Chwala
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
A. Gmeiner
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
University of Applied Sciences Regensburg, Regensburg, Germany
W. Qiu
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
S. Hipp
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
D. Nienaber
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
U. Siart
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
T. Eibert
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
M. Pohl
University of Applied Sciences Regensburg, Regensburg, Germany
J. Seltmann
Deutscher Wetterdienst, Hohenpeißenberg, Germany
J. Fritz
Ericsson GmbH, Düsseldorf, Germany
H. Kunstmann
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
University of Augsburg, Institute for Geography, Augsburg, Germany
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- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. 10.1002/wat2.1289
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- Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges C. Chwala & H. Kunstmann 10.1002/wat2.1337
- Attenuation Correction of Weather Radar Reflectivity with Arbitrary Oriented Microwave Link P. Zhang et al. 10.1155/2017/6124149
- Using Microwave Backhaul Links to Optimize the Performance of Algorithms for Rainfall Estimation and Attenuation Correction S. Trömel et al. 10.1175/JTECH-D-14-00016.1
67 citations as recorded by crossref.
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- Estimation of Finescale Rainfall Fields Using Broadcast TV Satellite Links and a 4DVAR Assimilation Method F. Mercier et al. 10.1175/JTECH-D-14-00125.1
- 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
- A Field Assessment of a Rain Estimation System Based on Satellite-to-Earth Microwave Links M. Colli et al. 10.1109/TGRS.2018.2878338
- 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
- Towards Innovative Solutions for Monitoring Precipitation in Poorly Instrumented Regions: Real-Time System for Collecting Power Levels of Microwave Links of Mobile Phone Operators for Rainfall Quantification in Burkina Faso M. Djibo et al. 10.3390/asi6010004
- A New Approach to Precipitation Monitoring: A critical survey of existing technologies and challenges H. Messer & O. Sendik 10.1109/MSP.2014.2309705
- Real-time data acquisition of commercial microwave link networks for hydrometeorological applications C. Chwala et al. 10.5194/amt-9-991-2016
- Experimental Study of Detecting Rainfall Using Microwave Links: Classification of Wet and Dry Periods K. Song et al. 10.1109/JSTARS.2020.3021555
- Utilizing microwave communication data for detecting fog where satellite retrievals are challenged N. David 10.1007/s11069-018-3428-3
- Precipitation Classification Using Measurements From Commercial Microwave Links D. Cherkassky et al. 10.1109/TGRS.2013.2259832
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. 10.1002/wat2.1289
- 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
- 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
- Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
- 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
- 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
- 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
- Research on Rainfall Monitoring Based on E-Band Millimeter Wave Link in East China S. Zheng et al. 10.3390/s21051670
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- Modeling of Wet Antenna Attenuation for Precipitation Estimation From Microwave Links C. Moroder et al. 10.1109/LGRS.2019.2922768
- 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
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- A Review on Rainfall Measurement Based on Commercial Microwave Links in Wireless Cellular Networks B. Lian et al. 10.3390/s22124395
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- The Feasibility Analysis of Cellphone Signal to Detect the Rain: Experimental Study K. Song et al. 10.1109/LGRS.2019.2940854
- Country-wide rainfall maps from cellular communication networks A. Overeem et al. 10.1073/pnas.1217961110
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- Judging Rainfall Intensity from Inter-Tip Times: Comparing ‘Straight-Through’ and Syphon-Equipped Tipping-Bucket Rain Gauge Performance D. Dunkerley 10.3390/w16070998
- Deep Learning for an Improved Prediction of Rainfall Retrievals From Commercial Microwave Links J. Pudashine et al. 10.1029/2019WR026255
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- Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884
- Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network A. Overeem et al. 10.5194/amt-9-2425-2016
- 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
- Real-Time Rain Rate Evaluation via Satellite Downlink Signal Attenuation Measurement F. Giannetti et al. 10.3390/s17081864
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- A measurement campaign to assess sources of error in microwave link rainfall estimation T. van Leth et al. 10.5194/amt-11-4645-2018
- Quantifying Wet Antenna Attenuation in 38-GHz Commercial Microwave Links of Cellular Backhaul M. Fencl et al. 10.1109/LGRS.2018.2876696
- Using Cellular Communication Networks To Detect Air Pollution N. David & H. Gao 10.1021/acs.est.6b00681
- Tropical rainfall monitoring with commercial microwave links in Sri Lanka A. Overeem et al. 10.1088/1748-9326/ac0fa6
- Earth-to-Earth Microwave Rain Attenuation Measurements: A Survey On the Recent Literature V. Christofilakis et al. 10.3390/sym12091440
- Dynamic Determination of the Baseline Level in Microwave Links for Rain Monitoring From Minimum Attenuation Values J. Ostrometzky & H. Messer 10.1109/JSTARS.2017.2752902
- 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
- Low complexity single-layer neural network for enhanced rainfall estimation using microwave links A. Daher et al. 10.2166/hydro.2022.099
- Harnessing Crowdsourced Data and Prevalent Technologies for Atmospheric Research N. David 10.1007/s00376-019-9022-0
- Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation M. Pasierb et al. 10.1002/met.2218
- 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
- Intensity estimation after detection for accumulated rainfall estimation T. Weiss et al. 10.3389/frsip.2024.1291878
- Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. 10.1002/2017WR021015
- Potential of commercial microwave link network derived rainfall for river runoff simulations G. Smiatek et al. 10.1088/1748-9326/aa5f46
- Rain erosivity map for Germany derived from contiguous radar rain data K. Auerswald et al. 10.5194/hess-23-1819-2019
- Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links C. Gianoglio et al. 10.3390/s23031202
- The potential of cellular network infrastructures for sudden rainfall monitoring in dry climate regions N. David et al. 10.1016/j.atmosres.2013.01.004
- Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results F. Diba et al. 10.1109/ACCESS.2021.3076781
- A monostatic microwave transmission experiment for line integrated precipitation and humidity remote sensing C. Chwala et al. 10.1016/j.atmosres.2013.05.014
- Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction J. Pastorek et al. 10.1109/TGRS.2021.3110004
- Improving Rainfall Measurement in Gauge Poor Regions Thanks to Mobile Telecommunication Networks M. Gosset et al. 10.1175/BAMS-D-15-00164.1
- The Potential of Microwave Communication Networks to Detect Dew—Experimental Study O. Harel et al. 10.1109/JSTARS.2015.2465909
- The NEFOCAST System for Detection and Estimation of Rainfall Fields by the Opportunistic Use of Broadcast Satellite Signals F. Giannetti et al. 10.1109/MAES.2019.2916292
- Analyzing the ability to reconstruct the moisture field using commercial microwave network data N. David et al. 10.1016/j.atmosres.2018.12.025
- Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges C. Chwala & H. Kunstmann 10.1002/wat2.1337
2 citations as recorded by crossref.
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