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Analysis of three supercell storms with Doppler weather radar data

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Abstract

Three supercell storms on 24 June 2004 (0624), 28 June 2003 (0628), and 27 September 2002 (0927) induced different damages in Shandong Province. Storm 0927 was inferior in size and intensity to storms 0628 and 0624. The structure and evolvement of the three storms were analyzed in detail based on the WSR-98D radar data in combination with weather charts. The results show that mesoscale surface convergence triggered release of instable energy, which resulted in severe convection. During the development stage, storms 0927, 0628, and 0624 displayed multi-cell propagation, single-cell evolution, and multi-cell mergence, respectively. The storm tracks were similar: they were all right-moving supercell storms, i.e., moving at an angle of 30°–70° to the right of the mean wind and at a speed of about 45%-70% of the mean wind speed. In the mature stage, the maximum reflectivity appeared at the low level in storm 0927, mid level in storm 0628, and mid-upper level in storm 0624. These storms possessed almost all typical features of supercell storms: weak echo region (WER), bounded weak echo region (BWER), and mesocyclone. An organized mesocyclone formed at the middle height of an updraft, deepened gradually downward and upward, and became a typical mid-level mesocyclone with strong updrafts. The vertical structures of airflows in the three storms were similar, i.e., significant convergence at low level, nearly pure rotation at mid level, and divergent rotation at upper level. However, signatures of mid-level horizontal airflows in the three storms were different: at mid level, there was a single vortex in storm 0628, but a double-vortex flow pattern was seen in storms 0927 and 0624. The horizontal structure of the double-vortex flow was hard to be blown away by the environmental airflow, and thus the storms could persist for a longer period of time than the single vortex storm.

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References

  • Browning, K. A., and F. H. Ludlam, 1962: Airflow in convective storms. Quart. J. Roy. Meteor. Soc., 88, 117–135.

    Article  Google Scholar 

  • Cao Gangfeng, Zhang Shanjun, Zhu Guanzhong, et al., 1988: Shandong Weather Analysis and Forecast. China Meteorological Press, Beijing, 191–208. (in Chinese)

    Google Scholar 

  • Cerniglia, C. S., and W. R. Snyder, 2002: Development of warning criteria for severe pulse thunderstorms in the northeastern United States using the WSR-88D. Eastern Technical Attachment, No. 2002-03, 14 pp.

  • Eagleman, Joe R., and Wen C. Lin, 1977: Severe thunderstorm internal structure from daul-Doppler radar measurements. J. Appl. Meteor., 16(10), 1036–1048.

    Article  Google Scholar 

  • Edwards, R., and R. L. Thompson, 1998: Nationwide comparisons of hail size with WSR-88D vertically integrated liquid water (VIL) and derived thermodynamic sounding data. Wea. Forecasting, 13, 277–285.

    Article  Google Scholar 

  • Fujita, T. T., 1963: Analytical meso-meteorology: A review, severe local storms. J. Meteor. Monograph, 27, 77–125.

    Google Scholar 

  • Hu Ling, 2004: Analysis of supercell hailstorm characteristics with Doppler radar measurements. Symposium of PRC-USA Nowcasting Forecast Technology for Severe Convective Weather. China Meteorological Press, Beijing, 173–176. (in Chinese)

    Google Scholar 

  • Johnson, J. T., et al., 1998: The storm cell identification and tracking (SCIT) algorithm: An enhanced WSR-88D algorithm. Wea. Forecasting, 13, 263–276.

    Article  Google Scholar 

  • Kropfli, R. A., and L. J. Miller, 1975: Thunderstorm flow patterns in three dimensions. Mon. Wea. Rev., 103, 70–71.

    Article  Google Scholar 

  • Liao Yufang, Yu Xiaoding, and Guo Qing, 2003: Case study of a series of severe convective storms based on China new generation weather radar data. J. Appl. Meteor. Sci., 14(6), 656–662. (in Chinese)

    Google Scholar 

  • Segman, R., 1970: ESSA doppler radar system. Weatherwise, 23, 70–73.

    Article  Google Scholar 

  • Tipton, G. A., E. D. Howieson, J. M. Margraf, et al., 1998: Optimizing the WSR-88D mesocyclone/tornadic vortex signature algorithm using WATADS-A case study. Wea. Forecasting, 13, 367–376.

    Article  Google Scholar 

  • Yu Xiaoding, Wang Yingchun, Chen Mingxuan, et al., 2005: Severe convective weather warnings and its improvement with the introduction of the NEXRAD. Plateau Meteorology, 24(3), 456–463. (in Chinese)

    Google Scholar 

  • Yu Xiaoding, Yao Xiuping, Xiong Tingnan, et al., 2006: Principle and Operation Application of Doppler Weather Radar. China Meteorological Press, Beijing, 314 pp. (in Chinese)

    Google Scholar 

  • Zhang Hongfa, Zuo Hongchao, Qie Xiushu, et al., 2002: Analysis of echo characteristics of Pingliang hailstorm. Acta Meteor. Sinica, 60(1), 110–115. (in Chinese)

    Google Scholar 

  • Zhang Peichang, 2001: Weather Radar Principle. China Meteorological Press, Beijing, 511 pp. (in Chinese)

    Google Scholar 

  • Zheng Yuanyuan, Yu Xiaoding, Fang Chong, et al., 2004: Analysis of a strong classic supercell storm with Doppler weather radar data. Acta Meteor. Sinica, 62(3), 317–328. (in Chinese)

    Google Scholar 

Download references

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Correspondence to Xiuguang Diao  (刁秀广).

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Supported by the National Natural Science Foundation of China under Grant No. 40575012 and Department of Science and Technology of Shandong Province under Grant No. 2007GG20008001.

Chinese version published in Vol. 67, No. 1, 2009, 133–146

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Diao, X., Zhu, J. & Liu, Z. Analysis of three supercell storms with Doppler weather radar data. Acta Meteorol Sin 25, 211–223 (2011). https://doi.org/10.1007/s13351-011-0028-5

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  • DOI: https://doi.org/10.1007/s13351-011-0028-5

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