Radar reflectivity-based rainfall estimates from collocated radars are exam
ined. The usual large storm-to-storm variations in radar bias and high corr
elation between radar estimates and rain gauge observations are found. For
three storms in Colorado, the radar bias factor (the ratio between gauge ob
servations and radar estimates) with the National Center for Atmospheric Re
search's S-band, dual-polarization radar (S-Pol) varied from 0.78 (an overe
stimate with radar) to 1.88. The correlation coefficient between gauge and
radar amounts varied from 0.78 to 0.90. For a collocated Weather Surveillan
ce Radar-1988 Doppler (WSR-88D), the bias factor varied from 0.56 to 1.49,
and the correlation between gauge and radar amounts ranged from 0.77 to 0.8
7. In Kansas, bias factors varied from 0.86 to 1.41 for S-Pol (10 storms) a
nd 0.82 to 1.71 for a paired WSR-88D (9 storms). The spread in correlation
coefficients was 0.82-0.95 for S-Pol and 0.87-0.95 for the WSR-88D.
Correspondence between the radar-derived rainfall estimates for the paired
radars was very high; correlation coefficients were 0.88 to 0.98. Moreover,
the ratio between rainfall estimates (S-Pol/paired WSR-88D) varied only fr
om 0.72 to 0.85 in Colorado and 0.82 to 1.05 in Kansas. The total variation
in radar-to-radar rainfall estimates, roughly a factor of 1.2, is attribut
ed primarily to nonmeteorological factors relating to radar hardware and pr
ocessing. The radar-to-radar variation is small compared to the spread in s
torm-to-storm biases, which varied from a low of 1.64 with the S-Pol radar
in Kansas to a high of 2.66 with the WSR-88D in Colorado. For this investig
ation, the storm-to-storm bias must have a large meteorological component-p
robably due to temporal and spatial changes in drop size distributions and
consequently variations in the relationship between radar reflectivity and
rainfall rate.