E. Le Bouar et al., Validation of the rain profiling algorithm "ZPHI'' from the C-band polarimetric weather radar in Darwin, J ATMOSP OC, 18(11), 2001, pp. 1819-1837
An extensive application of a rain profiling algorithm (ZPHI) employing a C
-band polarimetric radar (the C-POL radar of the Australian Bureau of Meteo
rology Research Centre in Darwin) is presented. ZPHI belongs to the class o
f rain profiling algorithms that have been developed for spaceborne or airb
orne radars operating at attenuating frequencies. By nature, these algorith
ms are nonlocal: the full profile of the measured radar reflectivity is inv
erted to derive a retrieved profile of the rainfall rate. The retrieval acc
uracy lays in the imposition of an "external constraint'' in the inversion
procedure. In this case, that is supplied by the differential phase shift P
hi (DP). The primary products of ZPHI are the profile along the beam of the
specific attenuation A, and the "normalized'' intercept parameter N-o*. Th
e rainfall rate is further estimated through an R-A relation adjusted for N
-o*. ZPHI solves automatically two problems met when operating at C band: t
he along-path attenuation and the variability of the raindrop size distribu
tion. Moreover, its robustness with respect to radar statistical error allo
ws ZPHI to operate with short dwell times, important for operational applic
ations.
To provide high quality rain-rate retrieval, ZPHI requires careful radar ca
libration. Two techniques of calibration checking are investigated; both pr
ovide a calibration estimate to within 0.1 and 0.2 dB. One is based upon th
e climatological stability of the N-o* histogram. The second, which is pure
ly radar based, uses a consistency test between the current rain-rate estim
ate by ZPHI and an estimate combining the specific attenuation A and the di
fferential reflectivity Z(DR).
Comparisons of rain rate, including an extensive dataset in the month of Ja
nuary 1998, show a remarkable agreement between rain gauge data and the ZPH
I estimate, whereas the "classical'' estimate (standard Z-R relation applie
d without consideration of the attenuation) appears severely biased with re
spect to the rain gauges. In these comparisons, evidence for the crucial ro
le of an N-o* determination to improve the rain-rate estimate is provided.