摘要
云雷达是探测和反演云降水微物理及动力参数精细结构的重要手段。回顾了世界和我国云雷达观测模式、数据质量控制和数据融合方法,特别是脉冲压缩、相干积累和非相干积累技术在提高云雷达灵敏度的应用,分析了基于回波强度与粒子下落速度关系、单波段云雷达小粒子跟踪方法、双波段云雷达回波强度谱密度比值方法等空气垂直运动速度反演和雨滴谱反演方法,并讨论了这些方法的特色,为今后云雷达观测方法设定和数据分析提供参考。
Cloud radar is an important tool to observe and retrieve the microphysical and dynamic profiles in cloud and precipitation sys⁃tems.The paper reviewed the cloud radar work modes,data quality control and merging algorithms,retrieval methods based on the relation⁃ship between reflectivity and raindrop terminal fall velocity,tracers of clear-air motion algorithm with single wavelength cloud radar,reflec⁃tivity density data ratio between dual wavelength cloud radar for vertical air motions and raindrop size distributions.The special characteris⁃tics of these methods were discussed.Coherent integration,incoherent integration and pulse compression techniques are used to improve ra⁃dar sensitivity.This paper provided references for cloud radar observation and data analysis.
作者
刘黎平
LIU Liping(State Key Lab of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081)
出处
《暴雨灾害》
2021年第3期231-242,共12页
Torrential Rain and Disasters
基金
国家自然科学基金项目(41875036)。
关键词
云雷达
微物理及动力参数
反演方法
cloud radar
microphysical and dynamic parameters
retrieval algorithms
