A review of advances in lightning observations during the past decade in Guangdong, China

Zhang, Yijun; Lü, Weitao; Chen, Shaodong; Zheng, Dong; Xu, Yong; Chen, Lüwen; Dong, Wei; Dan, Jianru

doi:10.1007/s13351-016-6928-7

Cited by 24 publications

(19 citation statements)

References 45 publications

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“…A comparison of the results for lightning observation tests showed obvious improvements in the detection efficiency and positioning accuracy of GHMLLS after the number of detection stations was increased in 2012. The system has a lightning detection efficiency of 97%, ground flash return stroke detection efficiency of 91%, and average positioning error of 600 m. The estimated peak current of the return stroke was shown to have a systematic error (Zhang et al 2016).…”

Section: Methodsmentioning

confidence: 99%

Characteristics of a multi-stroke “bolt from the blue” lightning-type that caused a fatal disaster

Fan

Zhang

Yin³

et al. 2019

Geomatics, Natural Hazards and Risk

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Section: Methodsmentioning

confidence: 99%

Characteristics of a multi-stroke “bolt from the blue” lightning-type that caused a fatal disaster

Fan

Zhang

Yin³

et al. 2019

Geomatics, Natural Hazards and Risk

Self Cite

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“…The lightning detection network includes 16 ground-based sensors deployed over the Guangdong Province. The lightning detection network can detect both cloud-toground and intracloud lightning with a detection efficiency of ~77% for total lightning and a location accuracy of ~600 m [35]. Individual strokes/pulses detected by sensors within fixed spatiotemporal thresholds are recorded as a lightning flash.…”

Section: Data For Assimilation and Verificationmentioning

confidence: 99%

Evaluation of Different Storm Parameters as the Proxies for Gridded Total Lightning Flash Rates: A Convection-Allowing Model Study

Qian

Wang

2021

Atmosphere

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Lightning simulation is important for a variety of applications, including lightning forecast, atmospheric chemical simulation, and lightning data assimilation. In this study, the potential of five storm parameters (graupel volume, precipitation ice mass, radar echo volume, maximum updraft, and updraft volume) to be used as the proxy for the diagnosis of gridded total lightning flash rates has been investigated in a convection-allowing model. A mesoscale convective system occurred in the Guangdong province of China was selected as the test case. Radar data assimilation was used to improve the simulation accuracy of the convective clouds, hence providing strong instantaneous correlations between observed and simulated storm signatures. The areal coverage and magnitude of the simulated lightning flash rates were evaluated by comparing to those of the total lightning observations. Subjective and the Fractions Skill Score (FSS) evaluations suggest that all the five proxies tested in this study are useful to indicate general tendencies for the occurrence, region, and time of lightning at convection-allowing scale (FSS statistics for the threshold of 1 flash per 9 km2 per hour were around 0.7 for each scheme). The FSS values were decreasing as the lightning flash rate thresholds used for FSS computation increased for all the lightning diagnostic schemes with different proxies. For thresholds from 1 to 3 and 16 to 20 flashes per 9 km2 per hour, the graupel contents related schemes achieved higher FSS values compared to the other three schemes. For thresholds from 5 to 15 flashes per 9 km2 per hour, the updraft volume related scheme yielded the largest FSS. When the thresholds of lightning flash rates were greater than 13 flashes per 9 km2 per hour, the FSS values were below 0.5 for all the lightning diagnostic schemes with different proxies.

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“…The second experimental area is located in the Conghua Meteorological Bureau, and it is mainly used to carry out observations of natural lightning and lightning early warning tasks. The third area is located in the Guangdong Meteorological Bureau, and it is mainly used to carry out the comprehensive observation of optical and electromagnetic fields related to lightning to tall objects in the city [24]- [29]. The actual lightning current data involved in this paper are from the Guangdong Comprehensive Observation Experiment on Lightning Discharge (GCOELD) carried out in 2015.…”

Section: Experiments and The Data Of Artificially Triggered Lightmentioning

confidence: 99%

Parametric Reconstruction Method for the Long Time-Series Return-Stroke Current of Triggered Lightning Based on the Particle Swarm Optimization Algorithm

et al. 2020

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The lightning research group of the Chinese Academy of Meteorological Sciences has carried out observations and experiments with artificially triggered lightning for more than ten years, and it accumulated thousands of examples of channel base current data on the return stroke of artificially triggered lightning prior to 2020. Based on the current data, this paper explores ways of improving the constructed function of a long time-series (400) return stroke and the parametric reconstruction of the current waveform. The long time-series current can be divided into three components: the breakdown pulse current, corona current and quasi-uniform current. The corona current and quasi-uniform current are constructed by a Heidler function, while the breakdown pulse current is determined by the waveform characteristics of the current peak, which can be divided into the Heidler type and high-order exponential type. According to the three-component model of the return-stroke current, a two-step parametric reconstruction method for the long time-series lightning return-stroke current based on the particle swarm optimization (PSO) algorithm is proposed. In this paper, the results of the parameterized reconstruction of 14 return strokes are given, and the results of the multidimensional error analysis of 13 long time-series return strokes are given to illustrate the accuracy of the improved parameterized model of the return-stroke current and the effectiveness of the two-step reconstruction method based on the PSO algorithm.

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A review of advances in lightning observations during the past decade in Guangdong, China

Cited by 24 publications

References 45 publications

Characteristics of a multi-stroke “bolt from the blue” lightning-type that caused a fatal disaster

Characteristics of a multi-stroke “bolt from the blue” lightning-type that caused a fatal disaster

Evaluation of Different Storm Parameters as the Proxies for Gridded Total Lightning Flash Rates: A Convection-Allowing Model Study

Parametric Reconstruction Method for the Long Time-Series Return-Stroke Current of Triggered Lightning Based on the Particle Swarm Optimization Algorithm

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