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. The REC consists of three algorithms: the AP Detection Algorithm (APDA) classifies AP ground clutter return, the Precipitation Detection Algorithm (PDA) classifies precipitation regions, and the Sea Clutter Detection Algorithm (SCDA) classifies return from the ocean surface. The APDA was deployed in ORPG Build 2. For ORPG Build 5, the APDA is used as a quality control flag for the Enhanced Precipitation Preprocessing (EPRE) hydrological algorithm to remove ground clutter contamination.
The Reflectivity Compensation Scheme (Z-Comp) uses a Gaussian approximation for precipitation spectra and a simulated WSR-88D clutter filter to estimate the correction necessary to offset the clutter-filter-induced bias in the reflectivity. Output from the REC PDA and APDA determine where the Z-Comp method is applied such that only regions of precipitation are compensated. For Build 8, the Z-Comp and REC PDA will be deployed in the ORPG. These fields, along with the REC APDA, are planned to be used by the EPRE to produce better radar-derived rainfall estimates.
Results from the recent North American Monsoon Experiment (NAME) held near Mazatlan, Mexico will be shown using data from the NCAR S-Pol radar. Upgrades to the ORPG APDA will also be discussed.