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Talk 6: Meteorological Target Echo Simulation of Airborne Dual Polarization Weather Radar Based on WRF

Speaker: Hai LI

Affiliation: Civil Aviation University of China

Academic title: Professor

Abstract:

The method first uses WRF mode to simulate meteorological scenes, obtaining meteorological scene information such as wind speed, temperature, particle number concentration and mixing ratio of meteorological targets within the scene; Secondly, using the T-matrix method, the scattering amplitude matrix of a single meteorological target is obtained by modeling and calculating the equivalent radius, axial ratio, and complex refractive index of a complex shaped meteorological target. Finally, the reflectivity factor of the meteorological target cluster in space is calculated using the corresponding distribution function, and the echo power of the meteorological target is calculated using the radar meteorological equation, the simulation of the airborne dual polarization meteorological radar meteorological target echo signal is achieved. The effectiveness and reliability of the method are verified by comparing the simulation results with the measured data.

Biography:

Li Hai, professor, doctoral supervisor. Deputy director of Tianjin Key Lab for Advanced Signal Processing of Civil Aviation University of China, the candidate of The Second Level of Tianjin's '131' Innovative Talent Development Program, member of Radio Positioning Technology Branch of The Chinese Institute of Electronics, member of the Academic Committee of the Civil Aviation Air Traffic Control Low Altitude Windshear Laboratory. Presided 19 scientific research projects, published over 100 academic papers in important academic journals and conferences both domestically and internationally, applied for and authorized 50 National Invention Patents. Main research areas: Airborne weather radar signal processing.

 

Important dates

Paper Submission Deadline:
30 September, 2023
Paper Acceptance Notification:
20 October, 2023
Camera-ready Paper Submission:
5 November, 2023
Registration open date:
20 October, 2023
Conference Date:
3-5 December, 2023

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