Articles | Volume 3, issue 5
https://doi.org/10.5194/amt-3-1385-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-3-1385-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
12 Oct 2010
Prediction of rainfall intensity measurement errors using commercial microwave communication links
A. Zinevich
The Porter School of Environmental Studies, Tel Aviv University, Israel
H. Messer
School of Electrical Engineering, Tel Aviv University, Israel
P. Alpert
Department of Geophysics and Planetary Sciences, Tel Aviv University, Israel
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- Accumulated Mixed Precipitation Estimation Using Measurements from Multiple Microwave Links J. Ostrometzky et al. 10.1155/2015/707646
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- An evaluation of weather radar adjustment algorithms using synthetic data M. Silver et al. 10.1016/j.jhydrol.2019.06.064
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- Near real-time estimation of high spatiotemporal resolution rainfall from cloud top properties of the MSG satellite and commercial microwave link rainfall intensities K. Kumah et al. 10.1016/j.atmosres.2022.106357
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- 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
- Attenuation Correction of Weather Radar Reflectivity with Arbitrary Oriented Microwave Link P. Zhang et al. 10.1155/2017/6124149
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- Rainfall measurement from mobile telecommunication network and potential benefit for urban hydrology in Africa: a simulation framework for uncertainty propagation analysis M. Turko et al. 10.5194/piahs-383-237-2020
- Gauge-adjusted rainfall estimates from commercial microwave links M. Fencl et al. 10.5194/hess-21-617-2017
- Hydrometeorological Monitoring Using Opportunistic Sensing Networks in the Amsterdam Metropolitan Area L. de Vos et al. 10.1175/BAMS-D-19-0091.1
- Hydrometeor Identification Using Multiple-Frequency Microwave Links: A Numerical Simulation K. Pu et al. 10.3390/rs12132158
- Extension of the MFLRT to Detect an Unknown Deterministic Signal Using Multiple Sensors, Applied for Precipitation Detection O. Harel & H. Messer 10.1109/LSP.2013.2273455
- A measurement campaign to assess sources of error in microwave link rainfall estimation T. van Leth et al. 10.5194/amt-11-4645-2018
- 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
- 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
- Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. 10.3390/rs13152953
- Accumulated Mixed Precipitation Estimation Using Measurements from Multiple Microwave Links J. Ostrometzky et al. 10.1155/2015/707646
- Rainfall Map from Attenuation Data Fusion of Satellite Broadcast and Commercial Microwave Links F. Saggese et al. 10.3390/s22187019
- The Potential of Microwave Communication Networks to Detect Dew—Experimental Study O. Harel et al. 10.1109/JSTARS.2015.2465909
- Using Cellular Communication Networks To Detect Air Pollution N. David & H. Gao 10.1021/acs.est.6b00681
- 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
- Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884
- Commercial microwave links instead of rain gauges: fiction or reality? M. Fencl et al. 10.2166/wst.2014.466
- Analyzing the ability to reconstruct the moisture field using commercial microwave network data N. David et al. 10.1016/j.atmosres.2018.12.025
- 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
- Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. 10.1002/2017WR021015
- Microwave Instrument for Simultaneous Wet Antenna Attenuation and Precipitation Measurement C. Moroder et al. 10.1109/TIM.2019.2961498
- 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
- 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
- Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany C. Chwala et al. 10.5194/hess-16-2647-2012
- Environmental sensor networks using existing wireless communication systems for rainfall and wind velocity measurements H. Messer et al. 10.1109/MIM.2012.6174577
- First Daily Mapping of Surface Moisture from Cellular Network Data and Comparison with Both Observations/ECMWF Product P. Alpert & Y. Rubin 10.1029/2018GL078661
- A rain estimation model based on microwave signal attenuation measurements in the city of Ioannina, Greece V. Christofilakis et al. 10.1002/met.1932
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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
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- Rainfall estimation using a microwave link based on an improved rain-induced attenuation model K. Song et al. 10.1080/2150704X.2019.1648902
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- Comparison of two methodologies for long term rainfall monitoring using a commercial microwave communication system A. Rayitsfeld et al. 10.1016/j.atmosres.2011.08.011
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- Utilizing microwave communication data for detecting fog where satellite retrievals are challenged N. David 10.1007/s11069-018-3428-3
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- Integrated modeling in urban hydrology: reviewing the role of monitoring technology in overcoming the issue of ‘big data’ requirements M. Hutchins et al. 10.1002/wat2.1177
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- New algorithm for integration between wireless microwave sensor network and radar for improved rainfall measurement and mapping Y. Liberman et al. 10.5194/amt-7-3549-2014
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- A Statistical Approach to Retrieve Rainfall Intensity by Attenuation Measurements From Commercial Microwave Links X. Zheng et al. 10.1029/2023EF003718
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- Rainfall Monitoring Based on Next-Generation Millimeter-Wave Backhaul Technologies in a Dense Urban Environment C. Han et al. 10.3390/rs12061045
- Near real-time estimation of high spatiotemporal resolution rainfall from cloud top properties of the MSG satellite and commercial microwave link rainfall intensities K. Kumah et al. 10.1016/j.atmosres.2022.106357
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. 10.3390/rs15194821
- 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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