Enhancements in Clutter/Precipitation Discrimination for the WSR-88D
The Radar Echo Classifier (REC) is a data fusion system that uses fuzzy-logic techniques to estimate the type of scatterer measured by the WSR-88D. For this paper, REC algorithms that will be discussed include the AP Detection Algorithm (APDA) that classifies AP ground clutter return and the Precipitation Detection Algorithm (PDA) that classifies precipitation regions. Within the RPG, the APDA is used as a quality control flag to remove ground clutter contamination during construction of the Hybrid Scan Reflectivity (HSR), which is, in turn, input into the radar-derived rainfall calculation. The PDA has been ported to the RPG Common Operating Development Environment (CODE) and modifications have been made such that outputs from both the APDA and the PDA are used to better discriminate between precipitation and clutter return. Preliminary results show that, with these modifications, the HSR has higher quality and contains less clutter contamination. These results will be presented.