A comparison of radar reflectivity estimates of rainfall from collocated radars

Citation
Ea. Brandes et al., A comparison of radar reflectivity estimates of rainfall from collocated radars, J ATMOSP OC, 16(9), 1999, pp. 1264-1272
Citations number
21
Categorie Soggetti
Earth Sciences
Journal title
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
ISSN journal
07390572 → ACNP
Volume
16
Issue
9
Year of publication
1999
Pages
1264 - 1272
Database
ISI
SICI code
0739-0572(199909)16:9<1264:ACORRE>2.0.ZU;2-U
Abstract
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.