Thunderstorm identification method research for airborne weather radar

Shiyang He; Ling Wang; Daiyin Zhu; Jun Qian

doi:10.1117/12.2631911

14 April 2022 Thunderstorm identification method research for airborne weather radar

Shiyang He, Ling Wang, Daiyin Zhu, Jun Qian

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121780P (2022) https://doi.org/10.1117/12.2631911
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

Thunderstorm poses a serious threat to aviation safety, therefore thunderstorm identification is very important for airborne weather data. In this paper, we present a thunderstorm identification method, which combines SCI algorithm with TITAN algorithm to identify not only the thunderstorm cells in the thunderstorm cluster, but also the thunderstorm profile. The simulated airborne scanning data is constructed using ground-based weather radar reflectivity data. The simulation results show that this method can effectively identify thunderstorm cells, including their centroids and profiles.

Citation Download Citation

Shiyang He, Ling Wang, Daiyin Zhu, and Jun Qian "Thunderstorm identification method research for airborne weather radar", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121780P (14 April 2022); https://doi.org/10.1117/12.2631911

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