Recent results of rainfall mapping from cellular network measurements

Messer, H.; Goldshtein, O.; Rayitsfeld, Asaf; Alpert, Pinhas

doi:10.1109/icassp.2008.4518820

Cited by 9 publications

(6 citation statements)

References 5 publications

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“…Commercial microwave links (MWL) used by commercial telecom service providers for data transmission are capable of rainfall estimation (David et al 2021;Leijnse et al 2007;Messer et al 2006). Following a successful demonstration of such a unique rainfall retrieval technique, some studies have utilised the MWL for spatial rainfall retrieval and demonstrated the potential of using the globally spread MWL system for rainfall mapping (Messer et al 2008;Overeem et al 2016;Silver et al 2021). Nonetheless, various factors may limit accurate spatial rainfall estimation from the MWL.…”

Section: Introductionmentioning

confidence: 99%

Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities

Kumah¹,

Maathuis²,

Hoedjes³

et al. 2022

SSRN Journal

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Section: Introductionmentioning

confidence: 99%

Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities

Kumah¹,

Maathuis²,

Hoedjes³

et al. 2022

SSRN Journal

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“…More advanced algorithms have been developed by signal processing experts, on which the tempo-spatial resolution of the rainfall maps, their accuracy and their coverage have been improved by exploiting the spatial spread of the CML measurements. Different authors used different approaches, such as: an iterative approach in which variability of rain along the links is exploited [19]; a compressed sensing approach [45,46]; a model based, parametric approach; a tomographic approach [47]; and dynamic mapping [48,49].…”

Section: Sources Of Errors Referencementioning

confidence: 99%

Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring

Messer

2018

Environments

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Abstract:The use of existing measurements from a commercial wireless communication system as virtual sensors for environmental monitoring has recently gained increasing attention. In particular, measurements of the signal level of commercial microwave links (CMLs) used in the backhaul communication network of cellular systems are considered as opportunistic sensors for precipitation monitoring. Research results have demonstrated the feasibility of the suggested technique for the estimating and mapping of rain, as well as for monitoring other-than-rain phenomena. However, further advancement toward implementation and commercial use are heavily dependent on multidisciplinary collaborations: Communication and network engineers are needed to enable access to the existing measurements; signal processing experts can utilize the different data for improving the accuracy and the tempo-spatial resolution of the estimates; atmospheric scientists are responsible for the physical modeling; hydrologists, meteorologists, and others can contribute to the end uses; economists can indicate the potential benefits; etc. In this paper I will review state-of-the-art results and the open challenges, demonstrating the benefit to the public good from utilizing the opportunistic-sensing approach. I will also analyze the various obstacles on the way there.

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“…The importance of these works is for scientists who are interested in validating remotelysensed soil moisture estimates. Hornbuckle and England (2003) asks the question -Dew: invisible at 1.4 GHz?‖ This paper concluded that observations and modeling results support the hypothesis that water on the canopy in the form of dew did effect the brightness measurements at Others have looked at the use of cellular network signal strength for monitoring near surface water vapor (David et al 2007) and in rainfall estimation (Leijnse et al 2007, Messer 2006, Messer 2007, Messer et al 2008. For all these studies cellular communication links are at frequency ranges of 17 GHz to 38 GHz.…”

Section: Inexpensive Rf Modules As Sensorsmentioning

confidence: 96%

“…A statistical analysis shows that in relatively uniform rain, the links compare better to the gauge, whereas in variable rain the comparison between the links and the radar is better. Cellular signal attenuation due to rain at frequency in the range of 17 GHz to 23 GHz was explored in Messer 2006, Messer 2007and Messer et al 2008 improvements need to be implemented. The reference signal level needs to be known, so that the attenuation can be determined from the deviation of the signal from this level.…”

Section: Inexpensive Rf Modules As Sensorsmentioning

confidence: 99%

Radio in hydroscience

Niemeier¹

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One can use unlicensed and often very inexpensive radios for unconventional communication (underwater-and underground) links. However, one can go further, and use these radios as sensors rather than communication links. Such communication links and sensors can have important application in hydroscience. While the attenuation of RF signals is high in these mediums, by using the wireless sensor network (WSN) paradigm of multi-hop and retransmission, reliable networks can be formed underwater and underground. One no longer needs to think of RF modules as only a source of data transmission. This revelation lends itself to thinking of these modules as inexpensive RF wave generators at prescribed unlicensed frequencies. Analyzing the received signal strength indicator (RSSI) of a link over time, one can infer changes in the medium from the changes in RSSI. In this thesis, I develop a simple mathematical model to relate changes in RSSI to changes in the medium. Additionally, five experimentally validated examples demonstrate the possibility of non-traditional uses for RF modules. Demonstrated sensor possibilities include soil moisture estimation, leaf wetness measurement, and vegetation water content estimation. This thesis served to validate the use of inexpensive unlicensed RF modules as more than just communication links through air, but as links in unconventional media, and more importantly as measurement instruments.

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Recent results of rainfall mapping from cellular network measurements

Cited by 9 publications

References 5 publications

Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities

Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities

Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring

Radio in hydroscience

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