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Thunderstorm Recognition Algorithm Research Based on Simulated Airborne Weather Radar Reflectivity Volume Scan Data

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

At present, most airborne radars have no volume scan capability, so the echo information detected is limited and it can be difficult to detect the thunderstorms in front of the aircraft completely. First of all, this paper proposes an airborne weather radar that adopts volume scan mode and takes the X-band ground-based weather radar data as the simulation source to obtain the airborne radar reflectivity volume scan data according to a simulation model. Then, based on the Storm Cell Identification (SCI) algorithm, this paper researches and proposes a thunderstorm identification algorithm applying to this airborne radar by modifying some threshold parameters, which has improvements on identifying thunderstorm cells. Finally, an example of thunderstorm identification based on the simulated airborne weather radar reflectivity volume scan data is  given, which shows that the algorithm can effectively identify the thunderstorm cells in the scanning sector in front of the radar and get their attributes. It is helpful for monitoring thunderstorm and meaningful for flight safety.

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Acknowledgements

Thanks to National Key R&D Program of China (2018YFC1506104) and Application and Basic Research of Sichuan Department of Science and Technology (2019YJ0316) for research direction and providing research foundation for this topic.

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Authors and Affiliations

  1. School of Electronic Engineering, Chengdu University of Information Technology, Sichuan, China

    Rui Liao, Xu Wang & Jianxin He

  2. Key Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu, 610225, China

    Xu Wang & Jianxin He

Authors
  1. Rui Liao
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  2. Xu Wang
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  3. Jianxin He
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Corresponding author

Correspondence to Xu Wang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Cite this paper

Liao, R., Wang, X., He, J. (2020). Thunderstorm Recognition Algorithm Research Based on Simulated Airborne Weather Radar Reflectivity Volume Scan Data. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_36

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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