Results 1 to 10 of about 26 (25)

Evaluation of Fengyun-4A Lightning Mapping Imager (LMI) Performance during Multiple Convective Episodes over Beijing

Remote Sensing, 2021
This study investigates the characteristics of space-borne Lightning Mapping Imager (LMI) lightning products and their relationships with cloud properties using ground-based total lightning observations from the Beijing Broadband Lightning Network (BLNET)
Zhixiong Chen, Xiushu Qie, Juanzhen Sun, Xian Xiao, Yuxin Zhang, Dongjie Cao, Jing Yang   +6 more
doaj   +3 more sources

Evaluating the Performance of Lightning Data Assimilation from BLNET Observations in a 4DVAR-Based Weather Nowcasting Model for a High-Impact Weather over Beijing

Remote Sensing, 2021
The Beijing Broadband Lightning Network (BLNET) was successfully set up in North China and had yielded a considerable detection capability of total lightning (intracloud and cloud to ground) over the regions with complex underlying (plains, mountains ...
Xian Xiao, Xiushu Qie, Zhixiong Chen, Jingyu Lu, Lei Ji, Dongfang Wang, Lina Zhang, Mingxuan Chen, Min Chen   +8 more
doaj   +1 more source

A Parallax Shift Effect Correction Based on Cloud Top Height for FY-4A Lightning Mapping Imager (LMI)

Remote Sensing, 2023
The Lightning Mapping Imager (LMI) onboard the Fengyun-4A (FY-4A) satellite is the first independently developed satellite-borne lightning imager in China.
Yuansheng Zhang, Dongjie Cao, Jing Yang, Feng Lu, Dongfang Wang, Ruiting Liu, Hongbo Zhang, Dongxia Liu, Zhixiong Chen, Huimin Lyu, Wei Cai, Shulong Bao, Xiushu Qie   +12 more
doaj   +1 more source

Corrected event dataset of FengYun-4A Lightning Mapping Imager (FY-4A LMI), 2019–2023 [PDF]

Earth System Science Data
The Lightning Mapping Imager (LMI) aboard FengYun-4A (FY-4A) has accumulated substantial observational data. To address remaining systematic geolocation deviations, we propose a correction method using World Wide Lightning Location Network (WWLLN) as a ...
Y. Zhang, Y. Zhang, X. Qie, X. Qie, R. Jiang, D. Cao, J. Yang, D. Wang, M. Liu, D. Liu, Z. Sun, H. Zhang, S. Yuan   +12 more
doaj   +1 more source

Thermal Deformation Correction for the FY-4A LMI

Remote Sensing
Affected by solar radiation in space, the FY-4A Lightning Mapping Imager (LMI) detection array exhibits daily periodic thermal expansion and contraction, leading to deviations in lightning positioning accuracy.
Yuansheng Zhang, Xiushu Qie, Dongjie Cao, Shanfeng Yuan, Dongfang Wang, Hongbo Zhang, Dongxia Liu, Zhuling Sun, Mingyuan Liu, Kexin Zhu, Rubin Jiang, Jing Yang   +11 more
doaj   +1 more source

An Efficient Lightning Classifier Using a Self‐Supervised Learning Neural Network

Geophysical Research Letters, Volume 52, Issue 12, 28 June 2025.
Abstract The automatic classification of lightning discharge processes is a critical challenge in both lightning physics research and protection. Despite recent advancements in artificial intelligence‐based classification models, rely on supervised learning, which demands extensive manually labeled samples and data preparation.
Jingyu Lu, Jinliang Li, Yu Liu, Shanfeng Yuan, Yunjiao Pu, Qingyun Bian, Zhan Gong, Zhuling Sun, Xiushu Qie, Rubin Jiang   +9 more
wiley   +1 more source

Three-Dimensional Mapping on Lightning Discharge Processes Using Two VHF Broadband Interferometers

Remote Sensing, 2022
Zhuling Sun, Rubin Jiang, Xiushu Qie
exaly  

A Time Delay Calibration Technique for Improving Broadband Lightning Interferometer Locating

Remote Sensing, 2023
Lyuwen Chen, Weitao Lyu, Liu Hengyi
exaly  

Lightning Nowcasting with an Algorithm of Thunderstorm Tracking Based on Lightning Location Data over the Beijing Area

Advances in Atmospheric Sciences, 2022
Zhuling Sun, Zhixiong Chen, Abhay Srivastava   +2 more
exaly  

Performance assessment of Beijing Lightning Network (BLNET) and comparison with other lightning location networks across Beijing

Atmospheric Research, 2017
Zhuling Sun, Zhixiong Chen, Rubin Jiang   +2 more
exaly