Journal of System Simulation
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.
Recommended Citation
Lei, Wang; Liu, Xingang; and Ming, Wei
(2020)
"Simulation of Adaptive Dangerous Weather Warning Method Based on Airborne Weather Radar,"
Journal of System Simulation: Vol. 29:
Iss.
7, Article 23.
DOI: 10.16182/j.issn1004731x.joss.201707023
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss7/23
First Page
1572
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201707023
Last Page
1581
CLC
P415.2
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.201707023
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons