Abstract

A rain-rate range-profiling algorithm has been developed for 'standard' data processing of TRMM Precipitation Radar (PR). Major challenges in the algorithm include the corrections for the effects of rain attenuation and non-uniform beam filling (NUBF) and in the rejection of surface clutter. A combination of the Hitschfield-Bordan and surface reference methods is used to correct radar returns for the rain attenuation. The NUBF effects are estimated from the spatial variations of the estimated total path integral of attenuation from the top of rain to the surface in the vicinity of the radar beam concerned. In this paper, we first outline the range profiling algorithm. Next we show two examples of PR observation; a typhoon over Pacific and a squall line over Florida. In the Florida case, we compare the PR and ground-based radar measurements. The results indicate that this algorithm is basically working well. Further studies are needed to statistically evaluate the performance.

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