一次层状云弱降水过程的机载Ka波段云雷达探测特征分析
作者:
作者单位:

1.中国气象局气候资源经济转化重点开放实验室,重庆 401147 ;2.重庆市黔江区气象局,重庆 黔江 404100 ;3.渝东南强天气研究黔江区重点实验室,重庆 黔江 404100 ;4.山西省气象灾害防御技术中心,山西 太原 030032 ;5.中国气象局人工影响天气中心,北京 100081 ;6.山东省人民政府人工影响天气办公室,山东 济南 250031

作者简介:

孙国德,男,高级工程师,主要从事云降水物理和人工影响天气研究,472167594@qq.com。

通讯作者:

中图分类号:

P426.5

基金项目:

国家自然科学基金项目(42175099);重庆市气象部门业务技术攻关项目(YWJSGG-202217);山东省自然科学基金项目(ZR2020MD054)


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Detection characteristics of stratiform cloud during a weak precipitation process by airborne Ka-band precipitation cloud radar
Author:
Affiliation:

1.CMA Key Open Laboratory of Transforming Climate Resources to Economy, Chongqing 401147 , China ; 2.Qianjiang Meteorological Bureau of Chongqing, Chongqing 404100 , China ; 3.Qianjiang District Key Laboratory of Strong Weather Research in Southeast Chongqing, Chongqing 404100 , China ; 4.Shanxi Meteorological Disasters Defense Technology Center, Taiyuan 030032 , China ; 5.CMA Weather Modification Centre, Beijing 100081 , China ; 6.Shandong Weather Modification Office, Jinan 250031 , China

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    摘要:

    利用2019年11月17日一次层状云系弱降水过程中获取的机载Ka波段云雷达(Ka-band precipitation cloud radar,KPR)和云粒子测量系统(droplet measurement technologies,DMT)资料,将利用云粒子谱正演得到的雷达反射率因子(Zc)与KPR探测值(Zm)进行对比,并对影响两者偏差的成因进行探讨分析。结果发现:(1)在层状云内部,ZcZm有很好的一致性,两者之间的偏差和均方根偏差分别为4.1 dBZ和4.3 dBZ。(2)在KPR径向速度变化和速度谱宽较大的区域,或在云层比较薄的区域,Zc与Zm之间的偏差和均方根偏差变大,但在雷达反射率因子的变化趋势上有较好的一致性。(3)云粒子数浓度(Nc)、云粒子有效直径和云中液态水含量的变化均对Zc与Zm之间的偏差有一定的影响,但偏差总体控制在±10 dBZ范围内。随着Nc的增大,两者之间的偏差变小,当Nc>200 cm-3时,偏差大于10 dBZ的时次极少。当有效直径在50~230 μm、液态水含量在0.15~0.50 g·m-3范围内时,ZcZm;当有效直径大于230 μm、液态水含量大于0.50 g·m-3时,ZcZm

    Abstract:

    Based on the data of airborne Ka-band precipitation cloud radar (KPR) and droplet measurement technologies (DMT) obtained during a weak precipitation process of stratiform cloud system on 17 November 2019, the radar reflectivity (Zc) calculated with the detected cloud particle spectrum is compared with the KPR observation (Zm), and the causes of the deviation are discussed. The results are as follows. (1) Inside the stratiform cloud, Zc and Zm are in good agreement with a deviation and root mean square error of 4.1 dBZ and 4.3 dBZ, respectively. (2) The deviation and root mean square error between Zc and Zm are larger in areas with larger variation of KPR’s radial velocity and velocity spectrum width, or in thin cloud area, but there is a good consistency in the variation trend of radar reflectivity. (3) The variation of cloud particle number concentration (Nc), cloud particle effective diameter and cloud liquid water content all have certain influence on the deviation between Zc and Zm, but the deviation is generally controlled within the range of ±10 dBZ. With the increase of Nc, the deviation between the two becomes smaller; when Nc is greater than 200 cm-3, the deviation greater than 10 dBZ is rare. Zc is smaller than Zm when the effective diameter is between 50 and 230 μm and the liquid water content is between 0.15 and 0.50 g·m-3; Zc is greater than Zm when the effective diameter is greater than 230 μm and the liquid water content is greater than 0.50 g·m-3.

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孙国德,蔡兆鑫,张佃国,等.一次层状云弱降水过程的机载Ka波段云雷达探测特征分析[J].海洋气象学报,2024,44(3):107-114.

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  • 收稿日期:2023-11-04
  • 最后修改日期:2024-03-02
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  • 在线发布日期: 2024-09-04
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