An automatic rainfall classifier is being currently used at GHCC to generate convective/stratiform rain component masks. These masks are subsequently used to generate a composite rainfall product using two separate Z-R relations. The Marshall-Palmer Z-R relation is applied to the pixels flagged as stratiform whereas the default NEXRAD algorithm is applied to the pixels flagged as convective. The mechanics of the classifier are the subject of a forthcoming paper. The classifier takes as input the NOWRAD composite reflectivity data. Details about this data set can be found at the Global Hydrology Resource Center web site. The output of the classifier is a similarly gridded image that indicates the nature of the rainfall at each pixel. The output image can be used to obtain rainfall estimates on any time scale by appropriate aggregation of the pixel-based rain estimates.