气象2025，Vol.51Issue(5)：542-551,10.DOI:10.7519/j.issn.1000-0526.2024.111801
云雷达功率谱去噪新方法研究及其云物理反演应用
A New Method of Cloud Radar Doppler Spectrum Denoising and Its Application in Cloud Physics Retrievals
摘要
Abstract
Doppler spectrum is the Ka-band cloud radar original data.Based on the consistency difference between cloud-precipitation signal and the"ghost echo"along with other noise signals in different Doppler spectral modes,this article uses the difference between short-pulse and long-pulse modes to determine the cloud signal boundary for the first time.The"ghost echo"is removed and the cloud signal boundary is adopted to calculate the noise level,forming a new denoising method.In addition,the sensitivity of cloud signal boundary changing with the difference threshold T is analyzed.Based on the small particle tracer method,the left cloud signal boundary after denoising is used to calculate the vertical air velocity.Two rainfall(snow)cases in Beijing are analyzed and compared with the in-situ aircraft observations of the ver-tical air velocity.It is verified that the new denoising method can effectively remove the"ghost echo".Al-though a certain percentage deviation exists between the average vertical air velocity obtained by cloud ra-dar and aircraft,the direction and magnitude correspond well in general.Thus,this method and the re-trieved results are reasonable.关键词
云雷达/功率谱/数据质量控制/大气垂直速度/噪声电平Key words
cloud radar/Doppler spectrum/data quality control/vertical air velocity/noise level分类
大气科学引用本文复制引用
马宁堃,王飞,贾作,陈羿辰..云雷达功率谱去噪新方法研究及其云物理反演应用[J].气象,2025,51(5):542-551,10.基金项目
北京市自然科学基金项目(8244064)和中国气象局大气探测重点开放实验室开放课题(2022KLAS01M)共同资助 （8244064）
