Understanding the general characteristics of wind profiler radar data under different weather conditions is of great significance for improving the quality of weather forecast service. On the basis of clustering technology in data mining, with the hourly observation data obtained by the wind profiler radar in Jinghai, Tianjin Municipality as the research object, this study builds a cluster analysis model for characteristics of wind profiler radar data. On this basis, different characteristics of the maximum detection height and maximum vertical velocity of the wind profiler radar in Jinghai are mined under weather conditions such as sunny, cloudy, pre-precipitation, precipitation, and post-precipitation. This study provides a new reference for weather forecast service and offers a new idea for the characteristic analysis of wind profiler radar data.