Statistics of Cloud-to-Ground Lightning Activity over North China during 2009–2023
This study analyzes the spatiotemporal distribution and peak current (PC) characteristics of cloud-to-ground lightning (CG) over North China (NC) from 2009 to 2023, based on observations from the Advanced Directional Thunderstorm Detector (ADTD) network. The results show that 4,294,310 CG flashes are detected over the 15-year period; approximately 87% are negative CG flashes (NCG). Approximately 48% of multi-stroke NCG contain at least one subsequent stroke with a PC exceeding that of the first stroke. The spatial distribution of CG in NC is influenced by local topography, with two density maxima located in the western mountains and the northeastern mountainous fringe. Positive CG flashes (PCG) generally concentrate along mountain–plain transition zones with steep terrain gradients in western and northern NC. CG activity exhibits pronounced interannual variability: NCG frequency decreases significantly from 2013 to 2020, which leads to a marked increase in the proportion of PCG ( P PCG ). This interannual change may be largely attributed to the implementation of regional air pollution control measures that reduce aerosol concentrations; such reductions may alter cloud microphysics and thereby contribute to the observed CG trends. Monthly CG variability is strongly tied to monsoon activity: CG frequency peaks in the warm season, whereas P PCG is higher in the cold season. More than half of thunderstorm days (TSD) in NC occur in summer. Thunderstorms typically initiate over mountains in the afternoon and propagate eastward onto the NC Plain. • The 15-year ADTD dataset (2009–2023) is used to analyze the spatiotemporal distribution of CG over NC. • The spatial distribution of CG in NC is influenced by local topography; PCG concentrates in regions with strong terrain gradients along mountain-plain transition zones. • The implementation of air pollution control measures in NC has effectively reduced atmospheric aerosol concentrations, thereby influencing CG activity through complex microphysical processes.
Authors
- Qing Lin
- Wen Bao (ORCID: https://orcid.org/0000-0003-1121-0372)
- Yueyao LI
- Yun Chen
- Xiaopeng CUI
Institutions
- China Meteorological Administration (CN)
- Chinese Academy of Sciences (CN)
- Nanjing University of Information Science and Technology (CN)
- Fujian Institute of Microbiology (CN)
- Hebei Meteorological Bureau (CN)
- Institute of Atmospheric Physics (CN)
- Chinese Research Academy of Environmental Sciences (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Weather and Climate Extremes
- Published
- 2026-01-14
- DOI
- https://doi.org/10.1016/j.wace.2026.100856
- Primary Topic
- Lightning and Electromagnetic Phenomena
- Type
- article
- Field-Weighted Citation Impact
- 0.00