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

Abstract

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

CLC Number:

P412

JU Hong-Xia, BIAN Zheng-Kui, GUO Yi-Fei. Application of the Identifying and Tracking Technology about Thunderstorm Clouds in the Short-Term Nowcasting[J]. Journal of Atmospheric and Environmental Optics, 2013, 8(5): 326-333.

References

[1] Wang Gaili, Liu Liping. A multiscale identifying algorithm for heavy rainfall and application in nowcasting [J]. Chinese Journal of Atmospheric Sciences, 2007, 31(3): 401-406(in Chinese).　
王改利, 刘黎平. 暴雨云团的多尺度识别方法及其在临近预报中的应用 [J]. 大气科学, 2007, 31(3): 401-406.
[2] Wang Gaili, Liu Liping, Ruan Zheng. Application of doppler radar data to nowcasting of heavy rainfall [J]. Journal of Applied Meteorology Science, 2009, 18(3): 388-394(in Chinese).
王改利, 刘黎平, 阮征. 多普勒雷达资料在暴雨临近预报中的应用 [J]. 应用气象学报, 2009, 18(3): 388-394.
[3] Du Bingyu, Guan Li, Yao Zuqing, et al. Nowcasting system of severe convective weather in shanghai [J]. Journal of Nanjing Institute of Meteorology, 2000, 23(2): 242-250(in Chinese).
杜秉玉, 官莉, 姚祖庆, 等. 上海地区强对流天气短时预报系统 [J]. 南京气象学院学报, 2000, 23(2): 242-250.
[4] Sun Hongping, Tang Dazhang, Li Peiren, et al. Application of Doppler weather radar to nowcasting [J]. Journal of the Meteorological Sciences, 2007, 27(3): 272-279(in Chinese).
孙鸿娉, 汤达章, 李培仁, 等. 多普勒雷达非降水回波在临近预报中的应用研究 [J]. 气象科学, 2007, 27(3): 272-279.
[5] Sheng Chunyan, Pu Yifen, Gao Shouting. Effect of doppler radar data on nowcasting output of mesoscale model [J]. Chinese Journal of Atmospheric Sciences, 2006, 30(1): 93-107(in Chinese). 盛春岩, 蒲一芬, 高守亭. 多普勒天气雷达资料对中尺度模式短时预报的影响 [J]. 大气科学, 2006, 30(1): 93-107.
[6] Xiao Yanjiao, Tang Dazhang, Li Zhonghua, et al. Storm automatic identification, tracking and forecasting [J]. Journal of Nanjing Institute of Meteorology, 1998, 21(2): 223-229(in Chinese).
肖艳姣, 汤达章, 李中华, 等. 风暴的自动识别、跟踪与预报 [J]. 南京气象学院学报, 1998, 21(2): 223-229.
[7] Wang Yanlan, Tang Wubin, Zhou Wenzhi, et al. Nowcasting of the station-point/area rainfall amounts using Cinradar [J]. Journal of the Meteorological Sciences, 2008, 28(3): 322-327(in Chinese).
王艳兰, 唐伍斌, 周文志, 等. 利用多普勒雷达资料作站点雨量及面雨量临近预报 [J]. 气象科学, 2008, 28(3): 322-327.
[8] Liu Hongyan, Chen Hongbin, Lei Hengchi. et al. Relationship between rain rate and radar reflectivity based on the raindrop distribution data in Beijing during 2004 [J]. Acta Meteorologica Sinica, 2008, 66(1): 125-129(in Chinese).
刘红燕, 陈洪滨, 雷恒池, 等. 利用2004年北京雨滴谱资料分析降水和雷达反射率因子的关系 [J]. 气象学报, 2008, 66(1): 125-129.
[9] Lakshmanan V, Rabin R, DeBrunner V. Identifying and tracking storms in satellite images [C]. In Second Artificial Intelligence Conference, Long Beach, CA, American Meteorological Society, 2000: 90-95.
[10] Lan Hongping, Sun Xiangming, Liang Bilin, et al. An automatic tracking and recognition algorithm for thunderstorm cloud-cluster (TRACER) [J]. Meteorological Monthly, 2009, 35(7): 101-111(in Chinese).
兰红平, 孙向明, 梁碧玲, 等. 雷暴云团自动识别和边界相关追踪技术研究 [J]. 气象, 2009, 35(7): 101-111.