大气与环境光学学报 ›› 2013, Vol. 8 ›› Issue (5): 326-333.

• 大气光学 • 上一篇    下一篇

雷暴云团的识别追踪技术在短时临近预报中的应用

鞠红霞, 卞正奎, 郭一飞   

  1. (江苏省泰州市气象局,江苏 泰州 225300)
  • 收稿日期:2013-05-02 修回日期:2013-07-01 出版日期:2013-09-28 发布日期:2013-09-06
  • 通讯作者: 鞠红霞(1976-),女,江苏泰兴人,工程师,主要研究方向为公共气象服务。 E-mail:jhx_jstz@163.com
  • 作者简介:鞠红霞(1976-),女,江苏泰兴人,工程师,主要研究方向为公共气象服务。
  • 基金资助:

    泰州市气象局气象服务现代化技术研究项目(TZQXJ201010)资助

Application of the Identifying and Tracking Technology about Thunderstorm Clouds in the Short-Term Nowcasting

JU Hong-xia, BIAN Zheng-kui, GUO Yi-fei   

  1. (Taizhou Meteorological Bureau, Taizhou Jiangsu 225300, China)
  • Received:2013-05-02 Revised:2013-07-01 Published:2013-09-28 Online:2013-09-06

摘要:

应用K均值聚类算法识别雷暴云团,对其进行追踪,通过线性外推的方法进行预报,并采用雷达反射率因子Z和降水强度R的统计关系式Z=ARb,对雷达实测的Z值与相应地面雨量计实测的雨强数据进行比较,经过回归统计分析,分别得到不同降水量级下的A、b系数,获得相应降水估算方程。选取2007年9月18日降水过程的南京雷达资料,对这种雷暴云团的识别追踪方法进行了详细说明,并对预报结果进行了验证。结果表明:该方法能够较好地识别追踪和外推预报雷暴云团,对短时降水能做出比较准确的估算。

关键词: 聚类算法, 雷暴云团, 跟踪, 临近预报

Abstract:

Thunderstorm clouds were identified and tracked by K-means clustering algorithm and forecasted through the kind of linear extrapolation prediction. Based on the statistical relationship of Z=AIb between radar reflectivity factor Z and precipitation intensity I, Z values measured by radar had been compared with those data of the corresponding ground actual rainfall intensity. By regression statistical analysis, the coefficients of A and b under different rainfull can be deduced respectively and the estimation equation was obtained. The identifying and tracking method about thunderstorm clouds was described in detail by selecting Nanjing radar data about the precipitation process on September 18, 2007 and the forecast result was also verified. The result indicated that thunderstorm clouds were able to be identified, tracked and estimated with extrapolation by this method and the short-time precipitation was accurate.

Key words: clustering algorithm, thunderstorm clouds, tracking, nowcasting

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