2008
DOI: 10.5194/adgeo-16-27-2008
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Simulation of polarimetric radar variables in rain at S-, C- and X-band wavelengths

Abstract: Abstract. Polarimetric radar variables of rainfall events, like differential reflectivity Z DR , or specific differential phase K DP , are better suited for estimating rain rate R than just the reflectivity factor for horizontally polarized waves, Z H . A variety of physical and empirical approaches exist to estimate the rain rate from polarimetric radar observables. The relationships vary over a wide range with the location and the weather conditions.In this study, the polarimetric radar variables were simula… Show more

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Cited by 22 publications
(7 citation statements)
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“…Different DSDs produce different liquid water contents and different rainfall rates for a given reflectivity factor value (e.g., Sachidananda and Zrni c 1987;Ryzhkov and Zrni c 1995;Zhang et al 2001). Similarly, for a set of given polarimetric variables, different rainfall rates could be obtained under different DSR assumptions (Zhang et al 2001;Teschl et al 2008). Generally, reflectivity-based QPE algorithms are more sensitive to the variations of DSD, while the polarimetric variablebased algorithms are more sensitive to DSRs (Teschl et al 2008).…”
Section: Rainfall Rate Estimation From Specific Differential Phase Inmentioning
confidence: 98%
See 1 more Smart Citation
“…Different DSDs produce different liquid water contents and different rainfall rates for a given reflectivity factor value (e.g., Sachidananda and Zrni c 1987;Ryzhkov and Zrni c 1995;Zhang et al 2001). Similarly, for a set of given polarimetric variables, different rainfall rates could be obtained under different DSR assumptions (Zhang et al 2001;Teschl et al 2008). Generally, reflectivity-based QPE algorithms are more sensitive to the variations of DSD, while the polarimetric variablebased algorithms are more sensitive to DSRs (Teschl et al 2008).…”
Section: Rainfall Rate Estimation From Specific Differential Phase Inmentioning
confidence: 98%
“…Similarly, for a set of given polarimetric variables, different rainfall rates could be obtained under different DSR assumptions (Zhang et al 2001;Teschl et al 2008). Generally, reflectivity-based QPE algorithms are more sensitive to the variations of DSD, while the polarimetric variablebased algorithms are more sensitive to DSRs (Teschl et al 2008). Based on observations of 13 typhoon events with 2D video disdrometer (2DVD), CCWL09 found that the DSD and DSR characteristics of heavy rain during typhoons in Taiwan were significantly different from typical maritime or continental precipitation systems.…”
Section: Rainfall Rate Estimation From Specific Differential Phase Inmentioning
confidence: 99%
“…The anisotropy of gravityoriented hydrometeors is controlled primarily by their aspect ratio (sometimes called the axis ratio or the ratio of the horizontal to vertical axes). For the largest raindrops this aspect ratio can reach ;2 (Bringi and Chandrasekar 2001), with associated ZDR values from 15 to 17 dB (Teschl et al 2008). Departures from perfectly stable horizontal orientation will dilute the differential reflectivity of anisotropic crystals (Matrosov et al 2005) in a process called flutter.…”
Section: Interpretational Background a Anisotropy Of Hydrometeors: Tmentioning
confidence: 99%
“…In a previous study (Teschl et al, 2008), polarimetric radar variables were simulated for S-, C-and X-band wavelengths in order to establish radar rainfall estimators in an alpine region in the form R(K DP ), R(Z H ,Z DR ), and R(K DP ,Z DR ). Drop size distributions of hundreds of 1-min-rain episodes were obtained from 2-D-Video-Distrometer measurements in the mountains and were used as input of the simulation.…”
Section: Rain Rate Estimationmentioning
confidence: 99%