Research on Weather Radar Performance Monitoring MethodBased on Ground Clutter
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Abstract:
This study proposes an online performance monitoring method for weather radars based on ground clutter characteristics, aiming to evaluate radar system status and enhance the stability and reliability of observational data. The method identifies stable ground clutter regions by exploiting the spatiotemporal persistence of clutter and the high occurrence probability of strong echoes. An empirical cumulative distribution function (ECDF) is then constructed, with the 98th percentile extracted as the monitoring indicator, and a relative calibration bias (RCA) metric introduced to quantitatively characterize system deviations. A case study with the Jingzhou radar demonstrates that the method can effectively capture stable clutter features under various weather conditions, different ranges, and anomalous propagation scenarios. Further applications across multiple radars in Hubei Province verify its reliability in detecting system performance biases and data anomalies, confirming its feasibility for online monitoring of weather radar performance and providing strong support for improving the long-term stability of radar observations.