Variation of mean raindrop shape derived from polarimetric radar measurements

Gorgucci, E.; Chandrasekar, V.; Scarchilli, G.; Bolen, S.

doi:10.1016/s0169-8095(01)00120-x

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…The effect of bright band contamination is insignificant since data are excluded when the 3 dB edge of the radar beam intercepts the bright band limits. Gorgucci et al (2001) showed a significant fluctuation of drop deformation that depends on the relative location within the storms (updraft and downdraft regions) and geographical regions. When this fluctuation is considered, some of the large scatter is also contributed from the variation of drop shape.…”

Section: Discussionmentioning

confidence: 99%

Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data

Lee

Zawadzki

2006

Journal of Hydrology

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Section: Discussionmentioning

confidence: 99%

Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data

Lee

Zawadzki

2006

Journal of Hydrology

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“…Using the assumption that the vertical and horizontal diameters of a raindrop are approximately 0.5 mm and 1 mm, respectively 45 and that the raindrop is an oblate spheroid, 46 the surface area of rain is approximately 80.8 cm 2 g À1 . This value is approximately 10 times lower than the specific area of snow, 700 cm 2 g À1 experimentally determined by Kerbrat et al (2008), 47 suggesting that the scavenging by snow is likely to be more significant than by rain at least for Hg(p).…”

Section: Wet Deposition Characteristic By Precipitation Typesmentioning

confidence: 99%

Mercury wet deposition in rural Korea: concentrations and fluxes

Ahn¹,

Holsen

et al. 2011

J. Environ. Monit.

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The characteristics of Hg wet deposition were investigated in a rural area of Korea from August 2006 to July 2008. The volume weighted mean (VWM) Hg(T) concentration and cumulative Hg(T) flux were 8.8 ng L(-1) and 9.4 μg m(-2) per year, respectively. The VWM Hg(T) concentration varied seasonally, similar to the seasonal pattern in atmospheric Hg(p) concentration. The enhancement of both VWM Hg(T) and atmospheric Hg(p) concentrations in spring and winter was likely caused by the long-range transport of Hg from China. Monthly VWM Hg(T) and atmospheric Hg(p) concentrations were well correlated (R(2) = 0.36); however, there was no correlation between VWM Hg(T) and RGM (reactive gaseous mercury) concentrations, suggesting that Hg(p) was responsible for the majority of the Hg in wet deposition at this site. The VWM Hg(T) concentration in snow was statistically higher than in rain. In addition, the atmospheric Hg(p) concentration appeared to be elevated for snow events as well. This suggests that both elevated Hg(p) concentrations and the enhanced scavenging efficiency of snow for Hg(p) were responsible for the elevated VWM Hg(T) concentrations measured during snow events.

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“…Since Seliga and Bringi [14] indicated that the polarimetric variables can be used to retrieve the parameters of an exponential raindrop size distribution model in 1976, plenty of studies have been conducted to explore the relationship between polarimetric variables and raindrop's size. Among them, the Gamma distribution [15] and Normalized Gamma distribution [16] were widely used due to their good adaptability to different rain cases, such as the Constrained Gamma method [17] and the Beta method [18], [19]. And those methods have also been applied to data of different radar bands with the development of dual-polarization radar and the correction technology of attenuation effect.…”

Section: Introductionmentioning

confidence: 99%

Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar

Peng

Yin

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Wind velocity is of great importance for weather monitoring, aviation hazard alerting, wind energy exploring, and etc. Doppler radar is widely used to measure wind under rainy condition by sensing the raindrops entrained by the background wind. However, the Doppler velocity, which is a reflection of the raindrops' velocity in radial direction, is not coincident with the background wind because of the strong inertia of raindrops. Efforts should be made to distinguish the difference between the raindrops' velocity and the background wind velocity. In this paper, we try to establish a relationship between the background wind velocity and the raindrops' velocity by introducing a definition of the raindrops' characteristic size, which is related to the velocity characterized by the strongest Doppler spectral component. It is found that the fusion of differential reflectivity and the depolarization ratio can serve as a good proxy for the estimation of the characteristic size. Simulation results for S/C/X band radars and radar measurements verify the good performance of the proposed retrieval model for the characteristic size, which lays a solid foundation for the retrieval of the background wind velocity.

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Variation of mean raindrop shape derived from polarimetric radar measurements

Cited by 5 publications

References 11 publications

Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data

Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data

Mercury wet deposition in rural Korea: concentrations and fluxes

Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar

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