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<br />. <br /> <br />assessment report from the Department , <br />of Commerce (NOAA 1997) suggests <br />that the KFfG 6-h STP maximum was <br />on the order of 6 in, (cf, KCYS and <br />CSU-cHILL estimates; Table 2), <br />In addition to Z-R estimates, the KCYS <br />CSU-cHILL data permitted a variety of <br />polarimetric rainfall estimates to be com- <br />puted using multiparameter variables in- <br />cluding KDP and ZDR (Doviak and Zrnic <br />1993; Ryzhkov and Zrnic 1995), For <br />brevity, only the polarimetric estimates <br />of STP computed using combinations of <br />KDP and KDR (Ryzhkov and Zrnic 1995) <br />and KDP' ZDR' and Z (e,g" a "blended <br />product") are shown in Table 2, Theoreti- <br />cally, the use of both KDP and ZDR in the <br />same rain-rate relationship (Table 2) should better <br />account for spatial and temporal variation in the drop <br />size distribution (cf, Ryzhkov and Zrnic 1995), <br />A subjective comparison of radar STP estimates to <br />rain gauge STP was conducted, The criteria for evalu- <br />ating the various radar techniques relative to the <br />gauges involved a comparison of the location and <br />value of the STP maximum and the overall pattern of <br />the rainfall. The R(KDP' ZDR) technique provided the <br />best match to the gauge STP using an equation previ- <br />ously cited in the literature, with no tuning, and a <br />minimum in processing (e,g" spurious data and ZuR <br />bias were removed), Two other polarimetric tech- <br />niques cited in the literature were also utilized [e,g" <br />R(KDP)' and R(Z, ZDR); cf, Doviak and Zrnic 1993] but <br />provided little improvement over the NEXRAD Z-R <br />relationship in an absolute sense, Detailed discussion <br />of radar-rainfall measurement using all of the poten- <br />tial polarimetric variables/techniques and their appli- <br />cation to this case is beyond the scope of this paper <br />but is the subject of several ongoing studies, <br />Examining the STP estimates in Table 2, the <br />NEXRAD Z-R applied to both KCYS (Fig, 19a) and <br />CSU-cHILL reflectivity data produced maximum <br />STPs of 5 and 6,5 in" respectively, only 50%-65% of <br />the gauge total (as was the KFfG estimate; NOAA <br />1997), Truncation of the reflectivity values to an up- <br />per limit of 53 dBZ, the maximum reflectivity used in <br />the NEXRAD Z-Ralgorithm, had little effect on the <br />calculated STP, The spatial distribution of the KCYS <br />(Fig, 19a) and CSU-cHILL STPs are broadly consis- <br />tent with the gauge analysis (Fig, 3b), However, the <br />CSU-cHILL STP maximum was located some 500- <br />1000 m southeast of the KCYS and gauge network <br /> <br />TABLE 2, Radar rainfall estimates of STP max (1725-2225* MDT), <br /> <br />Radar <br /> <br />STP Max (in.)" <br /> <br />Method <br /> <br />Z-R: Z ; 300R" <br />Z-R: Z; 139RL" <br />Z-R: Z; 250R "0 <br /> <br />5,0 <br />7,9 <br />10,8 <br /> <br />CSU-CHlLL <br /> <br />Z-R: Z; 300RL4 <br />Z-R: Z; 139RL" <br />Z-R: Z; 250RLZO <br />R(~p' ZOR) = 52 KDpo.9t>zDR ...{I.447 <br />R(K",. ZDR)/Z-R <br /> <br />6,5 <br />10.2 <br />14,9 <br />8,6 <br />8,0 <br /> <br />*1725-2215 for the CSU-CHILL <br />**Gauge STP maximum 10 in. <br /> <br />Bulletin of the American Meteorological Sociely <br /> <br />STP maxima, The tropical Z-R relationships yielded <br />STP distributions and amounts that were similar to the <br />gauge analysis (Fig, 3b), However, the Rosenfeld et al, <br />(1993) Z-R relationship produced a marked overesti- <br />mate (factor of 1.5) of the area-integrated STP relative <br />to the gauge network using CSU-cHILL reflectivity <br />data, <br />The multiparameter R(KDP' ZDR) technique yielded <br />a maximum STP of 8,6 in" approximately 85% of the <br />gauge value, and a spatial distribution of rainfall con- <br />sistent with that of the gauges (Fig, 3b), Over the en- <br />tire coverage area, the R(KDP' ZDR) estimate was <br />approximately 10%-25% lower than the gauge totals, <br />Though the STP computed from the R(KDP' Zm,) rela- <br />tionship was reasonably accurate, several instanta- <br />neous rain-rate estimates at given grid points over the <br />5 -h duration of the event were contaminated by noisy <br />KDP and ZuR values in regions of moderate to high re- <br />flectivity (e,g" 30-50 dBZ), <br />To correct the R(KDP' ZDR) rainfall estimates for <br />sampling errors and noise at light to moderate rainfall <br />rates (:> 15 mm h-'), we created a blended rainfall prod- <br />uct that utilized the R(KDP' ZuR) estimate in moderate <br />to heavy rain when Z > 38 dBZ, a linearly weighted <br />R(KDP' ZDJ/Z-R estimate of rain rate in regions oflight <br />rain when 35 :> Z:> 38 dBZ,and pure Z-R estimate in <br />reflectivities < 35 dBZ andlor for data points where the <br />KDP or L;,R were below predetermined noise thresholds, <br />The noise thresholds for KDP and ZDR were determined <br />by examining collocated grid points of KDP' ZDR' and <br />Z. By visual inspection, the noise thresholds were con- <br />servatively determined to be -0.30 km-I for KDP and <br />-0,5 dB for L;,R' both thresholds occurring at a reflec- <br />tivity of 38 dBZ. These thresholds are similar to the <br /> <br />211 <br />