Rain retrieval from dual-frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case-study
Rain retrieval from dual-frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case-study
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从双频雷达多普勒频谱中反演降雨：中纬度降水案例研究的验证和潜力
DOI：
10.1002/qj.3010
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发表时间：
2017
影响因子：
8.9
通讯作者：
Tridon F
中科院分区：
文献类型：
--
作者：
Tridon F
最近开发的一种技术可以从地面 Ka 和 W 波段雷达多普勒频谱剖面中检索分档雨滴尺寸分布 (DSD) 和空气状态参数，该技术得到改进并应用于典型的中纬度降雨事件。检索结果根据 2D 视频测速仪的 DSD 观测和独立的 X 波段观测进行了彻底验证。在本案例研究中，检索了降雨率、R、平均体积直径和浓度参数的剖面，偏差和标准偏差较低。在小雨中（0.1 <R< 1 mm h−1），雷达反射率必须使用并置的测距仪进行校准，该测距仪会由于两个仪器之间的采样不匹配而引入随机误差。在中雨 (1 <R< 20 mm h−1) 中获得最佳性能，其中检索为两个雷达的绝对校准和天线或天线罩湿度引起的衰减提供自洽的估计。
A recently developed technique retrieving the binned raindrop size distributions (DSDs) and air state parameters from ground‐based Kaand W‐band radars Doppler spectra profiles is improved and applied to a typical midlatitude rain event. The retrievals are thoroughly validated against DSD observations of a 2D video disdrometer and independent X‐band observations. For this case‐study, profiles of rain rate,R, mean volume diameter and concentration parameter are retrieved, with low bias and standard deviations. In light rain (0.1 <R< 1 mm h−1), the radar reflectivities must be calibrated with a collocated disdrometer which introduces random errors due to sampling mismatch between the two instruments. The best performances are obtained in moderate rain (1 <R< 20 mm h−1) where the retrieval is providing self‐consistent estimates of the absolute calibration and of the attenuation caused by antenna or radome wetness for both radars.