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Volume 45 Issue 8
Aug.  2023
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LI Hai, FENG Kaihong, YANG Wenheng, JIN Ming. Study on Simulation Method of Precipitation Particle Echo of Airborne Dual-Polarization Weather Radar[J]. Journal of Electronics & Information Technology, 2023, 45(8): 2945-2954. doi: 10.11999/JEIT220830
Citation: LI Hai, FENG Kaihong, YANG Wenheng, JIN Ming. Study on Simulation Method of Precipitation Particle Echo of Airborne Dual-Polarization Weather Radar[J]. Journal of Electronics & Information Technology, 2023, 45(8): 2945-2954. doi: 10.11999/JEIT220830

Study on Simulation Method of Precipitation Particle Echo of Airborne Dual-Polarization Weather Radar

doi: 10.11999/JEIT220830
Funds:  The National Key Research and Development Program of China (2021YFB1600600), The Civil Aircraft Project (MJ-2018-S-28), The Key Projects of Tianjin Natural Foundation (20JCZDJC00490), Tianjin Graduate Scientific Research Innovation Project (2021YJSS115), The Training Foundations for Famous Blue Sky Teachers of Civil Aviation University of China, Zhejiang Science Foundation for Distinguished Young Scholars (LR21F010001), The Key Projects of Ningbo Natural Science Foundation (202003N4013), The National Natural Science Foundation of China (61871246)
  • Received Date: 2022-06-23
  • Rev Recd Date: 2022-08-04
  • Available Online: 2023-04-14
  • Publish Date: 2023-08-21
  • In this paper, a simulation method of airborne dual-polarized weather radar precipitation particle echo based is proposed. This method is based on T-Matrix method and Weather Research and Forecasting (WRF). Firstly, WRF model is used to simulate a weather scenario. Secondly, considering that the precipitation particles are spherical, the T-matrix method and microphysical properties are combined to calculate the reflectance factors of six precipitation particles. Finally, six kinds of precipitation particle echo signals are obtained by using radar meteorological equation, and the simulation of precipitation particle echo signal of Airborne polarized weather radar is realized. The simulation results show that the results can accurately reflect the meteorological characteristics, and the comparative analysis with the measured data confirms further the effectiveness and reliability of the proposed method.
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