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An automatic identifying method of the squall line based on Hough transform

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Abstract

The squall line is a linear mesoscale convective system often seen in summer, which could bring severe disasters, such as thunderstorms, hails and tornadoes. So, the identification and forecast of squall lines are the important and difficult problems in operational weather nowcasting. In this paper, based on weather radar data an automatic identifying method of the squall line is presented. After image de-noising, extraction of the central axis of strong echo areas, and the Hough Transform, the spatial form and intensity variation characteristics of the reflectivity factors in the radar image are analyzed. On this basis, the automatic identification of squall line could be achieved. This method can overcome the adverse effects of the discontinuity of strong echo areas on the automatic identification of squall lines. The verification of squall line cases shows that the successful identification rate of squall lines is over 95%. Especially, when the boundary of the strong echo area is clear and is in a straight line or minor arc, the identification rate is higher. Overall, this new method has realized the automatic identification of squall lines on radar images, which could greatly improve the accuracy and time-effectiveness of squall line identification, and could provide a solid basis for the automatic forecast of squall lines in operational weather nowcasting.

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Acknowledgements

This work is financially supported by the National Natural Science Foundation of China (Grand No. 41805033) and the Jiangsu Province Industry-University-Research Cooperation Project of China (Grand No. BY2018010). We would like to acknowledge the National Demonstration Center for Experimental Atmospheric Science and Environmental Meteorology Education at Nanjing University of Information Science and Technology for providing experimental environment and meteorological observations. We thank Nanjing Hurricane Translation for reviewing the English language quality of this paper.

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Authors and Affiliations

  1. National Demonstration Center for Experimental Atmospheric Science and Environmental Meteorology Education, Nanjing University of Information Science and Technology, Nanjing, China

    Xing Wang, Hao-xuan Bian, Dai-li Qian, Chun-sheng Miao & Shao-wei Zhan

  2. Nanjing Xinda Institute of Meteorological Science and Technology, Nanjing, China

    Chun-sheng Miao & Shao-wei Zhan

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  1. Xing Wang
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  2. Hao-xuan Bian
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Correspondence to Xing Wang.

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Wang, X., Bian, Hx., Qian, Dl. et al. An automatic identifying method of the squall line based on Hough transform. Multimed Tools Appl 80, 18993–19009 (2021). https://doi.org/10.1007/s11042-021-10689-3

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