Abstract: By analyzing 166 jamming echo samples of Doppler weather radar reflectivity mosaic products for Guangxi Region in January 2020, this work put forward a method, known as Radial Data Determination (RDD), for identifying radial jamming echoes based on radial data characteristics. The RDD method describes the longitudinal and transverse characteristics of the radar reflectivity by establishing four characteristic parameters and uses the decision tree to identify the radial jamming echoes. For clear air echoes of training samples, the RDD method identified not only radial interference echoes at small scales but also those at large scales and high intensity without any preset azimuth threshold. A training test showed that the RDD method had a good effect on identifying and filtering the radial interference echoes. As indicated by the results of an application test for more than 3800 samples (including echoes with clear air or precipitation) with different weather processes from 2019 to 2020, the RDD has a high rate of accurate identification for radial interference echoes and a small loss resulting from erroneous identification, suggesting that it has promising capacity for generalization and good prospect for operational application. In the last part of the work, the issues and outlooks of the RDD are presented.