Dataset for the paper titled "Distinct Cloud-to-ground Lightning Properties in Frontal versus Warm-sector Heavy Rainfall Events"

View Dataset
Zheng, Dong;Wu, Xiaotian;Zhang, Yijun;Wu, Naigeng;Yao, Wen;Yu, Hai

Description

This dataset supports the manuscript titled "Distinct Cloud-to-ground Lightning Properties in Frontal versus Warm-sector Heavy Rainfall Events," submitted to Geophysical Research Letters for publication. The key findings of the study are as follows:This study compares cloud-to-ground (CG) lightning characteristics between frontal heavy rainfall (FR) and warm-sector heavy rainfall (WR) events in Guangdong, China, using data from the Guangdong Lightning Location System from 2003 to 2014. Results show that WR events feature a higher positive CG (PCG) lightning ratio, more return stroke (RS) occurrences of negative CG (NCG) lightning, and stronger NCG lightning currents, but lower CG lightning frequency compared to FR events. FR events exhibit higher peak currents in PCG compared to NCG lightning, while WR events show the opposite pattern. These differences remain consistent across varying precipitation intensities. Additionally, WR events develop secondary peaks in PCG lightning ratio, NCG RS number, and NCG lightning current as precipitation increases, gradually approaching the decreasing peaks in FR events at higher intensities, leading to more similar CG lightning properties between the two event types.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

79%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

68%

Source

Open Alex

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00