TY - JOUR
T1 - Association of lightning occurrence with precipitation cloud column structure at a fixed position
AU - Cui, Yanxing
AU - Zheng, Dong
AU - Zhang, Yijun
AU - Ruan, Zheng
AU - Li, Feng
AU - Yao, Wen
AU - Meng, Qing
AU - Zhao, Chuanhong
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2022/4/1
Y1 - 2022/4/1
N2 - In this study, a C-band frequency-modulated continuous-wave (C-FMCW) radar, with its feature of vertical detection, was combined with lightning discharge recordings within a 3 km range to investigate the dependence of lightning occurrence on the structure of precipitation cloud columns (PCCs) from the perspective of a fixed position. The results show that, relative to PCCs without lightning, PCCs with lightning exhibit greater maximum reflectivity, maximum upward radial velocity, maximum velocity spectrum width, cloud top height, and vertically integrated liquid in terms of their average values, and wider-range distributions of these parameters. Using the Light Gradient Boosting Machine algorithm, a lightning diagnosis program that integrates multiple C-FMCW radar parameters was developed. Its hit rate of lightning occurrence is 93.5% and it has a threat score of 0.421. The maximum velocity spectrum width above the melting layer was found to be the most effective in distinguishing PCCs with or without lightning. It was suggested that the hydrometeor properties at a specific location, specifically the size diversity and content of ice-phase particles, should be the key elements determining the occurrence of lightning in PCCs.
AB - In this study, a C-band frequency-modulated continuous-wave (C-FMCW) radar, with its feature of vertical detection, was combined with lightning discharge recordings within a 3 km range to investigate the dependence of lightning occurrence on the structure of precipitation cloud columns (PCCs) from the perspective of a fixed position. The results show that, relative to PCCs without lightning, PCCs with lightning exhibit greater maximum reflectivity, maximum upward radial velocity, maximum velocity spectrum width, cloud top height, and vertically integrated liquid in terms of their average values, and wider-range distributions of these parameters. Using the Light Gradient Boosting Machine algorithm, a lightning diagnosis program that integrates multiple C-FMCW radar parameters was developed. Its hit rate of lightning occurrence is 93.5% and it has a threat score of 0.421. The maximum velocity spectrum width above the melting layer was found to be the most effective in distinguishing PCCs with or without lightning. It was suggested that the hydrometeor properties at a specific location, specifically the size diversity and content of ice-phase particles, should be the key elements determining the occurrence of lightning in PCCs.
KW - C-band frequency-modulated continuous-wave radar
KW - Grid-based lightning activity diagnosis
KW - Lightning
KW - Precipitation cloud column
UR - http://www.scopus.com/inward/record.url?scp=85122084793&partnerID=8YFLogxK
U2 - 10.1016/j.atmosres.2021.105989
DO - 10.1016/j.atmosres.2021.105989
M3 - Article
AN - SCOPUS:85122084793
SN - 0169-8095
VL - 267
JO - Atmospheric Research
JF - Atmospheric Research
M1 - 105989
ER -