高原气象

高原气象 >

2017 , Vol. 36 >Issue 6: 1665 - 1673

DOI: https://doi.org/10.7522/j.issn.1000-0534.2016.00137

论文

苏南三部地基雷达反射率因子一致性和偏差订正个例研究

  • 韩静 ,
  • 楚志刚 ,
  • 王振会 ,
  • 徐芬 ,
  • 李南 ,
  • 朱艺青 ,
  • 张晗昀
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  • 南京信息工程大学气象灾害预报预警与评估协同创新中心中国气象局气溶胶-云-降水重点实验室, 江苏 南京 210044;南京信息工程大学大气物理学院, 江苏 南京 210044;江苏省气象科学研究所, 江苏 南京 210009

收稿日期: 2016-04-19

  网络出版日期: 2017-12-28

基金资助

公益性行业科研专项（GYHY201306078）；国家自然科学基金项目（41275043）；江苏高校优势学科建设工程资助项目（PAPD）

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A Study on the Consistency and Deviation Correction of the Radar Reflectivity Factor of Three Ground-based Radars in Southern Jiangsu

  • HAN Jing ,
  • CHU Zhigang ,
  • WANG Zhenhui ,
  • XU Fen ,
  • LI Nan ,
  • ZHU Yiqing ,
  • ZHANG Hanyun
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  • Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China Meteorological Administration Key Laboratory for Aerosol-Cloud-Precipitation, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;Jiangsu Institute of Meteorological Sciences, Nanjing 210009, Jiangsu, China

Received date: 2016-04-19

  Online published: 2017-12-28

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摘要

中国新一代天气雷达可以进行较大范围降水的定量估测，但相邻站雷达之间的资料可能存在不一致性而影响组网应用效果。将热带降雨测量卫星TRMM（Tropical Rainfall Measuring Mission）上携带的降水雷达PR（Precipitation Radar）作为统一的参照，针对2010年5-8月份长江中下游降水天气期间PR与苏南三部（南京、常州、南通）雷达的7次匹配事件的资料进行一致性分析，并利用经质量控制后得到的比较适宜于对比分析的数据集建立订正关系，进行偏差订正，分析订正效果，并详细比较其中两次事件订正前后地基雷达数据之间的差异。结果表明：（1）南京雷达反射率因子强度比常州雷达低3.5 dB左右，常州比南通低0.9 dB左右，3 km高度的回波强度拼图存在明显不连续；（2）将TRMM PR作为参照，利用预处理后的雷达观测数据样本，计算得出南京、常州、南通各地基雷达与PR的差值，并进行偏差订正后，南京与常州、常州与南通之间的反射率因子差值减小成为0.3和0.2，拼图效果也明显改善。

关键词： TRMM PR; 地基雷达; 一致性分析; 偏差订正

本文引用格式

韩静 , 楚志刚 , 王振会 , 徐芬 , 李南 , 朱艺青 , 张晗昀 . 苏南三部地基雷达反射率因子一致性和偏差订正个例研究[J]. 高原气象, 2017 , 36(6) : 1665 -1673 . DOI: 10.7522/j.issn.1000-0534.2016.00137

Abstract

With the development of sophisticated meteorological equipment, weather radar is becoming an effective tool for monitoring and providing early warning of severe weather, especially small-scale disaster weather events. China new generation of weather Radar can be used for quantitative precipitation estimation (QPE) in large area, but the inconsistency between the data of adjacent radars may affect the networking application, especially in terms of Multi-Radar precipitation evaluations, data assimilation, cloud and precipitation physics research. In this paper, Precipitation Radar (PR) data, collected by the tropical rainfall measuring mission (TRMM) satellite, was used as a unified reference to analyze the consistency of 7 matched events of the PR and three Ground-based Radars (GRs) in southern Jiangsu (Nanjing, Changzhou and Nantong) during the period from June to July, 2010. Through the following seven-steps pretreatment:(1) PR and GR data match-up, (2) GR data azimuth adjustment, (3) GR data terrain blocking analysis, (4) GR data radial distance selection, (5) GR data vertical height selection, (6) Ku-adjusted, (7) NUBF analysis, the available best comparable data were used to establish a revisions relationship, the error correction and analysis was carried out. The results show that:(1) the reflectivity of Nanjing radar was about 3.5 dB smaller than that of Changzhou radar, while the reflectivity of Changzhou radar is about 0.9 dB smaller than that of Nantong rador, 3 km height of echo intensity mosaics obvious discontinuity; (2) after deviation correction, the difference of reflectivity between Nanjing and Changzhou, Changzhou and Nantong were reduced to 0.3 and 0.2 respectively, mosaics effect was significantly improved. The method may be applied to improve the quality of precipitation data products from the GR network and their quantitative application for the southern region. It can also be used for the further development of spaceborne PR and GR network data analyses, and provide an important reference value for the accuracy of multi-radar joint precipitation estimates and the application of radar networking mosaics.

Key words： TRMM PR; Ground-based Radar (; consistency analysis; deviation correction

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