大气科学2026，Vol.50Issue(2)：399-416,18.DOI:10.3878/j.issn.1006-9895.2504.24090
微雨雷达雨滴谱和降雨参数反演精度分析
Precision Evaluation of Raindrop Size Distribution and Rainfall Parameters Retrieved by a Micro Rain Radar
摘要
Abstract
The performance of MRR(Micro Rain Radar)in estimating DSD(raindrop size distribution)and integral rainfall parameters(rainfall intensity R,liquid water content W,radar reflectivity factor Z,mean mass-weighted raindrop diameter Dm,and intercept parameter Nw of the normalized gamma distribution)was comprehensively evaluated using coincident data obtained from a 2DVD(two-dimensional video disdrometer)and an XPOL(X-band dual-polarization radar)in Beijing in the warm season(May-September)during 2016-2018.A comparative analysis between standard MRR products(hereinafter referred to as AVG data)and reprocessed data(hereinafter referred to as REP data)derived from raw MRR spectra was conducted to assess the accuracy of the MRR in estimating stratiform and convective rain types.The key findings were as follows:(1)The retrieval accuracy of the DSD and rainfall parameters for the REP data outperformed those from the AVG data,with device performance being superior for stratiform rain than for convective rain.The Z bias improved from-23.74 dB(for AVG data)to 0.74 dB(for REP data)in the case of convective rain.(2)The AVG data systematically underestimated the DSD and rainfall parameters compared to 2DVD measurements,an underestimation that intensified as rainfall intensity increased.In contrast,the REP data exhibited not only higher correlation coefficients(Z:0.96;R:0.94;W:0.93;Dm:0.87;lgNw:0.78),but also lower absolute biases and reduced root mean square errors.(3)Simulations of Z and differential reflectivity(ZDR)based on the REP DSD showed better agreement with XPOL observations,with biases of-1.14 dB(-3.04 dB for the AVG data)and 0.02 dB(0.12 dB for the AVG data),respectively.(4)The vertical resolution of the MRR had a significant impact on the retrieval performance.For stratiform rain,the MRR-retrieved DSD and rainfall parameters at resolutions of 30 m,100 m,and 200 m showed high consistency with 2DVD measurements.For convective rain,however,the optimal agreement was observed at the 30-m resolution.Meanwhile,the performance at a resolution of 200 m was marginally better than that at 100 m.In summary,these results demonstrate that applying de-aliasing and vertical wind correction to MRR raw spectra significantly enhances MRR's capability to retrieve the DSD and rainfall parameters for both stratiform and convective rain types,providing a more reliable technical means for investigating the fine-scale vertical microphysical structure of precipitation.关键词
微雨雷达(MRR)/雨滴谱(DSD)/降雨参数/反演精度/综合评估Key words
Micro Rain Radar(MRR)/Raindrop size distribution(DSD)/Rainfall parameters/Retrieved accuracy/Comprehensive evaluation分类
天文与地球科学引用本文复制引用
罗丽,赵建民,郭佳,陈羿辰,冯亮..微雨雷达雨滴谱和降雨参数反演精度分析[J].大气科学,2026,50(2):399-416,18.基金项目
国家重点研发计划项目2022YFC3003901,中央级公益性科研院所基本科研业务费专项基金项目IUMKY202432,中国气象局智能气象观测技术重点开放实验室开放研究课题青年项目ZNGC2024QN10 National Key Research and Development Program of China(Grant 2022YFC3003901),Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institutes(Grant IUMKY202432)Science and Open Project of the Key Laboratory of Intelligent Meteorological Observation Technology,China Meteorological Administration(Grant ZNGC2024QN10) （Grant 2022YFC3003901）
