<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
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