Simulation of Adaptive Dangerous Weather Warning Method Based on Airborne Weather Radar

doi:10.16182/j.issn1004731x.joss.201707023

Abstract

Abstract: A kind of suitable airborne weather radar algorithm for different seasons, latitude and longitude and underlying surface in China was proposed. A simulation model of airborne weather radar for detecting strong storm weather based on the ground-based weather radar data was established. The improved algorithm of region segmentation and TITAN were used to identify strong storms and their characteristic parameters. China was divided into 16 climate characteristic regions (including East China Sea and South China Sea) per the latitude and longitude. The threshold of strong hail storm radar echo characteristic parameters in these areas was obtained, and the dangerous weather warning probability algorithm was given. The multiple dangerous weather radar data were used in airborne weather radar for the simulation experiments of detecting strong storm weather. Simulation results show that the algorithm can help the pilots to quickly determine dangerous weather and ensure flight safety.

Key words: airborne weather radar, adaptive recognition, three-dimensional simulation, super-cell storm

CLC Number:

P415.2

Wang Lei, Liu Xingang, Wei Ming. Simulation of Adaptive Dangerous Weather Warning Method Based on Airborne Weather Radar[J]. Journal of System Simulation, 2017, 29(7): 1572-1581.

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