A Study on Atmospheric Vertical Velocity Retrieval Through Fusion of Wind Profiler and Cloud Radar Data

This paper presents a method for retrieving atmospheric vertical velocity based on the fusion of wind profile radar and millimeter-wave cloud radar data, aiming to address the interference issue of hydrometeor echoes on wind field retrieval from wind profile radar during precipitation events. By employing spectral separation and identification techniques, combined with the observational characteristics of both radars, the method separates turbulence echoes from precipitation particle echoes, effectively extracting atmospheric vertical velocity information. Experimental results show that under weak precipitation conditions, this method can significantly reduce hydrometeor interference and outperforms traditional dual-peak methods. This provides reliable technical support for observing atmospheric vertical motion under complex weather conditions.