基于风廓线雷达资料的亮带识别订正算法研究  

Automatic Identification and Correction Algorithm of the Bright Band Based on Wind Profil Radar Data

作　　者：张征宇[1,2] 薛震刚 许丽人 高太长[1] ZHANG Zhengyu XUE Zhengang XU Liren GAO Taichang(Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101 Beijing Institute of Applied Meteorology, Beijing 100029)

机构地区：[1]解放军理工大学气象海洋学院,南京211101 [2]北京应用气象研究所,北京100029

出　　处：《气象》2017年第2期197-205,共9页Meteorological Monthly

基　　金：军内科研项目(417211154);国家自然科学基金项目(41327003)共同资助

摘　　要：在降水过程中,固态降水粒子下落穿越0℃等温线的融化效应会引起雷达反射率因子增大,产生亮带。文章基于北京房山地区的边界层风廓线雷达的探测资料,对2014年8—10月四次典型的层状云降水和以层状云为主的混合性降水过程进行特征统计,提出了适用于该季节、该地区的0℃层亮带自动识别订正算法,并使用这种算法对一次层状云为主的混合性降水天气过程进行了识别研究,通过与探空资料、多普勒天气雷达资料的对比检验,结果表明该算法可以有效识别该季节、该地区的0℃层亮带,通过亮带订正,融化区的回波强度高值区得到了有效抑制,原亮带高度附近回波强度廓线的显著弯曲消失,融化区之外的回波强度基本没有变化。The melting process in the melting layer gives rise to the enhancement of radar reflectivity, which is known as the ＇bright band＇. An automatic identification and correction algorithm of bright band is presented in this paper. This algorithm is developed from the characteristics of stratiform or blended precipitation based on WPR data in Fangshan, Beijing, from August to October 2014. A typical blended precipitation episode from 1 to 2 September 2014 is analyzed by using this algorithm. The identified bright band parameters are compared with sonde and Doppler radar data, which is verified to be reliable. After bright band correction, the high echo intensity areas are restrained, and the obvious curve of the vertical profile of echo intensity near bright band height disappears.

关 键 词：0℃层亮带 风廓线雷达 识别订正 

分 类 号：P412[天文地球—大气科学及气象学]