Attenuation Calibration of an X-Band Weather Radar Using a Microwave Link

Rahimi, Abdelmejid; Holt, A.R.; Upton, Graham; Krämer, Stefan; Redder, A.; Verworn, Hans-Reinhard

doi:10.1175/jtech1855.1

Cited by 40 publications

(27 citation statements)

References 19 publications

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“…Krämer et al (2005) adopted the attenuation and rainfall information derived from a microwave link with its receiver colocated with an X-band weather radar as a reference to correct the radar data for rainfall estimation [15]. Using the same link as in [15], Rahimi et al (2006) presented a backwarditerative attenuation correction algorithm on which the link attenuation constraint was imposed [16]. Trömel et al (2014) demonstrated that the ratio of / DP can be optimized with the help of microwave links oriented along radar radial [14].…”

Section: Introductionmentioning

confidence: 99%

Attenuation Correction of Weather Radar Reflectivity with Arbitrary Oriented Microwave Link

Zhang

Liu

et al. 2017

Advances in Meteorology

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To compensate radar reflectivity for attenuation effect, a new method for attenuation correction of the radar reflectivity using arbitrary oriented microwave link (referred henceforth to as ACML) is developed and evaluated. Referring to the measurement of arbitrary oriented microwave link, the ACML method optimizes the ratio of specific attenuation to specific differential phase which is a key parameter in attenuation correction schemes. The proposed method was evaluated using real data of a dual-polarization X-band radar and measurements of two microwave links during two rainstorm events. The results showed that the variation range of the optimized ratio was overall consistent with the results of the previous studies. After attenuation correction with the optimal ratios, the radar reflectivity was significantly compensated, especially at long distances. The corrected reflectivity was more intense than the reflectivity corrected by the "self-consistent" (SC) method and closer to the reflectivity of a nearby S-band radar. The effectiveness of the method was also verified by comparing the rain rates estimated by the X-band radar with those derived by rain gauges. It is demonstrated that arbitrary oriented microwave link can be adopted to optimize the attenuation correction of radar reflectivity.

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Section: Introductionmentioning

confidence: 99%

Attenuation Correction of Weather Radar Reflectivity with Arbitrary Oriented Microwave Link

Zhang

Liu

et al. 2017

Advances in Meteorology

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“…The degree of microwave attenuation can be obtained by measuring the difference between clear and rainy days, and these data can be used to retrieve rainfall intensity and its spatial distribution [9,10] and correct the radar reflectivity factor as a constraint. Krämer et al [11,12] described forward and backward iterative algorithms that can be used to correct the X-band radar reflectivity factor using a 10.5/17.5 GHz dual-frequency microwave link. Krämer and Verworn [13] used a dual-frequency microwave link to correct the C-band radar reflectivity factor.…”

Section: Advances In Meteorologymentioning

confidence: 99%

“…The meanings of the other quantities in (12) are shown in Figure 1. Meanwhile, the Radon inverse transform satisfieŝ The corresponding tomography is the inverse of the Radon transform.…”

Section: Reconstruction Of the Grid Attenuation Using Microwavementioning

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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“…Kidd and Levizzani (2011) and Kidd and Huffman (2011) have summarized some of the efforts given to improve the accuracy of satellite rain-rate estimation. Several studies investigated rain-rate estimation using microwave links as another potential source of data (Overeem et al, 2013;Rahimi et al, 2006;Upton et al, 2005;Zinevich et al, 2009), where a line-averaged precipitation is estimated therefrom. Acoustic rain gauges are an economical alternative which analyze the raindrops' sound similar to when one listens to rain in a tent (de Jong, 2010).…”

Section: Introductionmentioning

confidence: 99%

Areal rainfall estimation using moving cars – computer experiments including hydrological modeling

Rabiei¹,

Haberlandt²,

Sester³

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. The need for high temporal and spatial resolution precipitation data for hydrological analyses has been discussed in several studies. Although rain gauges provide valuable information, a very dense rain gauge network is costly. As a result, several new ideas have emerged to help estimating areal rainfall with higher temporal and spatial resolution. Rabiei et al. (2013) observed that moving cars, called RainCars (RCs), can potentially be a new source of data for measuring rain rate. The optical sensors used in that study are designed for operating the windscreen wipers and showed promising results for rainfall measurement purposes. Their measurement accuracy has been quantified in laboratory experiments. Considering explicitly those errors, the main objective of this study is to investigate the benefit of using RCs for estimating areal rainfall. For that, computer experiments are carried out, where radar rainfall is considered as the reference and the other sources of data, i.e., RCs and rain gauges, are extracted from radar data. Comparing the quality of areal rainfall estimation by RCs with rain gauges and reference data helps to investigate the benefit of the RCs. The value of this additional source of data is not only assessed for areal rainfall estimation performance but also for use in hydrological modeling. Considering measurement errors derived from laboratory experiments, the result shows that the RCs provide useful additional information for areal rainfall estimation as well as for hydrological modeling. Moreover, by testing larger uncertainties for RCs, they observed to be useful up to a certain level for areal rainfall estimation and discharge simulation.

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Attenuation Calibration of an X-Band Weather Radar Using a Microwave Link

Cited by 40 publications

References 19 publications

Attenuation Correction of Weather Radar Reflectivity with Arbitrary Oriented Microwave Link

Attenuation Correction of Weather Radar Reflectivity with Arbitrary Oriented Microwave Link

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

Areal rainfall estimation using moving cars – computer experiments including hydrological modeling

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