1981
DOI: 10.1175/1520-0450(1981)020<1362:apsocm>2.0.co;2
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A Preliminary Study of Comparative Measurements of Rainfall Rate Using the Differential Reflectivity Radar Technique and a Raingage Network

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Cited by 51 publications
(20 citation statements)
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“…The Ka/W-SACR2 observed reflectivity is corrected for gaseous attenuation based on sounding measurements at 1800 UTC for each day using a methodology proposed by Liebe et al (1993). The Ka/W-SACR2 Journal of Geophysical Research: Atmospheres 10.1002/2017JD027717 Z DR measurements are corrected for systematic biases (Seliga et al, 1981) by averaging Z DR from zenithpointing 360°rotation scans and found to be equal to 0.11 dB for Ka-SACR2 and À0.62 dB for W-SACR2. Additional biases attributed to elevation dependencies of Z DR and K DP are corrected using theoretical formulas presented in Ryzhkov et al (2005) and Schneebeli et al (2013).…”
Section: Ka/w-sacr2 Observationsmentioning
confidence: 99%
“…The Ka/W-SACR2 observed reflectivity is corrected for gaseous attenuation based on sounding measurements at 1800 UTC for each day using a methodology proposed by Liebe et al (1993). The Ka/W-SACR2 Journal of Geophysical Research: Atmospheres 10.1002/2017JD027717 Z DR measurements are corrected for systematic biases (Seliga et al, 1981) by averaging Z DR from zenithpointing 360°rotation scans and found to be equal to 0.11 dB for Ka-SACR2 and À0.62 dB for W-SACR2. Additional biases attributed to elevation dependencies of Z DR and K DP are corrected using theoretical formulas presented in Ryzhkov et al (2005) and Schneebeli et al (2013).…”
Section: Ka/w-sacr2 Observationsmentioning
confidence: 99%
“…Capability of dual polarized radars to estimate rainfall rate with better accuracy via differential reflectivity (ZDR) measurement has been well established. Seliga et al [1981] have shown, through a comparative study of rainfall rates measured by using horizontal reflectivity Zn and ZDR, and rain gage network, that the accuracy obtainable by using the Z• method is comparable to that of rain gage network. The advantage of radar technique is that it can estimate rainfall rates over a vast area remotely and hence can augment a rain gage network.…”
Section: Introductionmentioning
confidence: 98%
“…The capability to transmit both vertically and horizontally polarized electromagnetic waves allows measuring and deriving different polarimetric parameters, such as the reflectivity polarization ratio (Z DR ), the linear depolarization ratio (LDR), differential phase (/ DP ) and specific differential phase (K DP ), the co-polar correlation coefficient (q HV ) [for a description of each one of them, consult Brandes (2000) and among others]. The use of these quantities can improve rainfall estimation (e.g., Seliga et al 1981;Scarchilli et al 1993;Brandes et al 2001;Ulbrich and Atlas 2008), hydrometeor classification (e.g., Bringi et al 1984;Ryzhkov and Zrnic 1998a;Straka et al 2000;Heinselman and Ryzhkov 2006;, radar calibration (e.g., Scarchilli et al 1996;Gorgucci et al 1999;Ryzhkov et al 2005;Bechini et al 2008;Gourley et al 2009), attenuation correction (e.g., Vulpiani et al 2005Vulpiani et al , 2008Gorgucci and Baldini 2007;Kim et al 2008), and rainfall estimation in the presence of ground clutter, anomalous propagation and beam blockage (e.g., Ryzhkov and Zrnic 1998b;Zrnic et al 2006;Friedrich et al 2007;Rico-Ramirez and Cluckie 2007;Moisseev and Chandrasekar 2009;Lang et al 2009;Friedrich et al 2009). Therefore, it is likely that some of the sources of errors affecting single-polarization radars will have a more limited impact on rainfall estimation by polarimetric radars.…”
mentioning
confidence: 99%