Using microwave links to adjust the radar rainfall field

Cummings, R.J.; Upton, Graham; Holt, A.R.; Kitchen, M.

doi:10.1016/j.advwatres.2008.08.010

Cited by 24 publications

(19 citation statements)

References 22 publications

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“…The approach A assumes a constant baseline during an event (B 1 ), and is similar to previous studies (e.g. Cummings et al, 2009;Overeem et al, 2011). As the assumption of constant baseline could be unrealistic (e.g.…”

Section: Baseline Calculationmentioning

confidence: 95%

“…Baseline estimation methods typically rely on the identification of ''dry'' versus ''wet'' periods. This can be done using independent data such as rain gauges or radar (Upton et al, 2005;Holt et al, 2008;Cummings et al, 2009;Overeem et al, 2011), or by analyzing the microwave signal of single links (e.g. Schleiss and Berne, 2010) or multiple links (Overeem et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, methods that rely solely on past or current data are preferable. Typically, the baseline is estimated over a certain time period preceding the event, and then assumed to remain constant during the event itself (Cummings et al, 2009;Overeem et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Microwave links for rainfall estimation in an urban environment: Insights from an experimental setup in Luxembourg-City

Fenicia¹,

Pfister²,

Kavetski

et al. 2012

Journal of Hydrology

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Section: Baseline Calculationmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Microwave links for rainfall estimation in an urban environment: Insights from an experimental setup in Luxembourg-City

Fenicia¹,

Pfister²,

Kavetski

et al. 2012

Journal of Hydrology

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“…Krämer and Verworn [13] used a dual-frequency microwave link to correct the C-band radar reflectivity factor. Cummings et al [14] explored the use of two single-frequency microwave links in weather radar correction. However, these studies only enable corrections of the radar signal along the ray under the link path with a narrow range of a radial beam.…”

Section: Advances In Meteorologymentioning

confidence: 99%

Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network

Yang¹,

Liu²,

Gao³

et al. 2017

Advances in Meteorology

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The complex temporal-spatial variation of raindrop size distribution will affect the precision of precipitation quantitative estimates (QPE) produced from radar data, making it difficult to correct echo attenuation. Given the fact that microwave links can obtain the total path attenuation accurately, we introduce the concept of regional attenuation correction using a multiple-microwave-links network based on the tomographic reconstruction of attenuation coefficients. Derived from the radar-based equation, the effect of rainfall distribution on the propagation of radar and microwave link signals was analyzed. This article focuses on modeling of the tomographic reconstruction of attenuation coefficients and regional attenuation correction algorithms. Finally, a numerical simulation of regional attenuation correction was performed to verify the algorithms employed here. The results demonstrate that the correction coefficient (0.9175) falls between the corrected and initial field of radar reflectivity factor (root mean square error, 2.3476 dBz; average deviation, 0.0113 dBz). Compared with uncorrected data, the accuracy of the corrected radar reflectivity factor was improved by 26.12%, and the corrected rainfall intensity distribution was improved by 51.85% validating the region attenuation correction algorithm. This method can correct the regional attenuation of weather radar echo effectively and efficiently; it can be widely used for the radar attenuation correction and the promotion of quantitative precipitation estimation by weather radar.

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“…Telecommunication links might also be used to improve the operations of conventional rainfall measurement devices: detection of malfunctioning rain gauges in urban areas (Bianchi, et al, 2013), determination of the mean field adjustment of weather radar data (Cummings, et al, 2009), and the detection and correction of attenuated radar data (Rahimi, et al, 2006). 25 One important and interesting aspect is the mapping of rainfall fields from path-integrated attenuation measured on a network of telecommunication links.…”

Section: Introductionmentioning

confidence: 99%

Retrieval of rainfall fields in urban areas using attenuation measurements from mobile phone networks: a modeling feasibility study

Zohidov

Andrieu²,

Servières

et al. 2016

Preprint

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Rainfall monitoring is an important global issue in urban hydrological applications, such as flood warning and water resources management systems. Until the present time, rain gauges and weather radars have been widely used as sensors to provide rainfall information with a detailed resolution; most cities in the world however are inadequately equipped.Recently, commercial microwave links (MWL) have been proposed as a new means of monitoring space-time rainfall. A 15 transmitted signal along such links is known to be attenuated by rainfall, hence the measurement of this signal attenuation could serve to estimate path-averaged rainfall intensity. The density of commercial MWL is typically high in most cities today, which raises new questions over the possibility of retrieving rainfall using signal attenuation data from multiple links.The objective of this article is to assess the feasibility of retrieving rainfall fields in urban areas using rain attenuation data from commercial MWL that are mainly operated by mobile phone companies. This work is based on a simulation framework 20 applied to a real case study. The study area is the city of Nantes, France. Rainfall datasets containing 207 weather radar images recorded by the Météo-France Agency's C-band at high spatial (250 m x 250 m) and temporal (5 min) resolutions are first used to generate rain attenuation data over the existing mobile phone network, which combines 256 microwave links operating at 18, 23 and 38 GHz. The rain attenuation data generated are used as a real signal dataset. A novel retrieval algorithm is then proposed to convert the rain-induced attenuation data into a rainfall map. A priori knowledge introduced to 25 initialize the algorithm heavily influences retrieval performance if the problem to be solved is under-determined, as is the case herein.The capabilities as well as limitations of the retrieval algorithm, as regards capturing different rainfall variability, are evaluated. A detailed sensitivity analysis, carried out with respect to various parameters including a priori knowledge, decorrelation distance, and the retrieval performance of the algorithm depending on the density level of the MWL network is 30 also evaluated in a light rain, a shower and amidst storm events. The conclusion, based on 200+ retrieval tests, states that the Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016Discuss., doi:10.5194/hess- -540, 2016 Manuscript under review for journal Hydrol. Earth Syst. Sci. Published: 21 October 2016 c Author(s) 2016. CC-BY 3.0 License. 2proposed algorithm is capable of capturing high rainfall variability in the presence of large measurement error sources according to the adopted methodology.

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Using microwave links to adjust the radar rainfall field

Cited by 24 publications

References 22 publications

Microwave links for rainfall estimation in an urban environment: Insights from an experimental setup in Luxembourg-City

Microwave links for rainfall estimation in an urban environment: Insights from an experimental setup in Luxembourg-City

Regional Attenuation Correction of Weather Radar Using a Distributed Microwave-Links Network

Retrieval of rainfall fields in urban areas using attenuation measurements from mobile phone networks: a modeling feasibility study

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