During the 1981 summer season within a 70,000 km2 area surrounding Miles City, Montana, the meteorological community conducted the Cooperative Convective Precipitation Experiment (CCOPE). The measurements collected during this project comprise the largest and most com-prehensive data set ever acquired in and around individual thunderstorms on the high plains of North America. The resultant archive contains approximately 300 billion bits of informa-tion compiled by state-of-the-art instrumentation in a field setting. The principal data systems utilized during CCOPC included 8 ground-based radars (7 of which had Doppler capability), 13 instrumented research aircraft, 6 sites from which balloon-borne instruments were launched, and a network of 123 surface stations. Our data processing goal has been to integrate all of these measurements into an accurate and com-plete three-dimensional description of any thunderstorm observed at any point throughout its history. Furthermore, this three-dimensional storm description must be embodied in a digi-tal structure that can be easily manipulated, altered, and displayed. Our presentation will focus on the procedures employed in reducing these diverse measurements to common spatial and temporal scales. The final product is a regularly spaced multi-dimensional Cartesian coordinate system at a discrete analysis time where each grid location contains the set of relevant meteorological parameters. A recently developed soft-ware package for analyzing the information in these data structures will also be discussed.