Results 1 to 10 of about 460 (165)

Comparison of Lightning Detection Between the FY‐4A Lightning Mapping Imager and the ISS Lightning Imaging Sensor [PDF]

Earth and Space Science, 2021
The Lightning Mapping Imager (LMI) onboard Fengyun‐4A (FY‐4A) is the first Chinese lightning detection sensor in geostationary orbit. This study presents the lightning characteristics observed by the FY‐4A LMI in its first year, and then observations ...
Xiang Ni, Wen Hui, Qinghong Zhang, Fuxiang Huang, Chuntao Liu   +4 more
doaj   +5 more sources

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

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   +4 more sources

Preliminary Observations from the China Fengyun-4A Lightning Mapping Imager and Its Optical Radiation Characteristics [PDF]

Remote Sensing, 2020
The Fengyun-4A (FY-4A) Lightning Mapping Imager (LMI) is the first satellite-borne lightning imager developed in China, which can detect lightning over China and its neighboring regions based on a geostationary satellite platform.
Wen Hui, Wenjuan Zhang, Weitao Lyu, Pengfei Li   +3 more
doaj   +5 more sources

Effects of Day/Night Factor on the Detection Performance of FY4A Lightning Mapping Imager in Hainan, China [PDF]

Remote Sensing, 2021
In this study, the effect of day/night factor on the detection performance of the FY4A lightning mapping imager (LMI) is evaluated using the Bayesian theorem, and by comparing it to the measurements made by a ground-based low-frequency magnetic field ...
Hao Sun, Jing Yang, Qilin Zhang, Lin Song, Haiyang Gao, Xiaoqin Jing, Guo Lin, Kang Yang   +7 more
doaj   +4 more sources

Concurrent satellite and ground-based lightning observations from the Optical Lightning Imaging Sensor (ISS-LIS), the low-frequency network Meteorage and the SAETTA Lightning Mapping Array (LMA) in the northwestern Mediterranean region [PDF]

Atmospheric Measurement Techniques, 2020
The new space-based Lightning Imager (LI) onboard the Meteosat Third Generation (MTG) geostationary satellite will improve the observation of lightning over Europe, the Mediterranean Sea, Africa and the Atlantic Ocean from 2021 onwards.
F. Erdmann, F. Erdmann, E. Defer, O. Caumont, R. J. Blakeslee, S. Pédeboy, S. Coquillat   +6 more
doaj   +6 more sources

Image Navigation for FY-4A Lightning Mapping Imager

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Navigation of images from lightning mapping instruments in geostationary orbits is very important for data applications. However, few scientific peer-reviewed papers have been reported, except a few works in the prelaunch tests.
Jing Wang, Xiaochong Tong, Lei Yang, Jian Shang, Chengbao Liu, Shulong Bao, Zhiqing Zhang, Jun Yang   +7 more
doaj   +2 more sources

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   +2 more sources

Lightning Activity Observed by the FengYun-4A Lightning Mapping Imager

Remote Sensing, 2021
The Lightning Mapping Imager (LMI) onboard the geostationary meteorological satelliteFengYun-4A (FY-4A) detects both intra-cloud (IC) and cloud-to-ground (CG) lightning continuously during daytime and nighttime.
Dongjie Cao, Feng Lu, Xiaohu Zhang, Jing Yang   +3 more
doaj   +3 more sources

LOFAR Lightning Imaging: Mapping Lightning With Nanosecond Precision [PDF]

Journal of Geophysical Research: Atmospheres, 2018
AbstractLightning mapping technology has proven instrumental in understanding lightning. In this work we present a pipeline that can use lightning observed by the LOw‐Frequency ARray (LOFAR) radio telescope to construct a 3‐D map of the flash. We show that LOFAR has unparalleled precision, on the order of meters, even for lightning flashes that are ...
B. M. Hare, O. Scholten, A. Bonardi, S. Buitink, A. Corstanje, U. Ebert, H. Falcke, J. R. Hörandel, H. Leijnse, P. Mitra, K. Mulrey, A. Nelles, J. P. Rachen, L. Rossetto, C. Rutjes, P. Schellart, S. Thoudam, T. N. G. Trinh, S. ter Veen, T. Winchen   +19 more
openaire   +5 more sources

Imaging lightning intracloud initial stepped leaders by low‐frequency interferometric lightning mapping array [PDF]

Geophysical Research Letters, 2016
AbstractBy comparing the source position of pulses during initial leaders and the paths of subsequent dart leaders from typical bilevel intracloud (IC) flashes, we demonstrate a new method to image the detailed three‐dimensional (3‐D) structure and stepping dynamics of IC initial leaders.
Fanchao Lyu, Steven A. Cummer, Gaopeng Lu, Xuan Zhou, Joel Weinert   +4 more
openaire   +2 more sources