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Lightning Activity Observed by the FengYun-4A Lightning Mapping Imager [PDF]

open access: yesRemote 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   +3 more
doaj   +12 more sources

Lightning Mapping: Techniques, Challenges, and Opportunities [PDF]

open access: yesIEEE Access, 2020
Despite the significant progress in the understanding of the phenomenon of lightning and the physics behind it, locating and mapping its occurrence remain a challenge. Such localization and mapping of very high frequency (VHF) lightning radiation sources
Ammar Alammari   +6 more
doaj   +6 more sources

A 3D Interferometer-Type Lightning Mapping Array for Observation of Winter Lightning in Japan

open access: yesRemote Sensing, 2023
We have developed and deployed a 3D Interferometer-type Lightning Mapping Array (InLMA) for observing winter lightning in Japan. InLMA consists of three broadband interferometers installed at three stations with a distance from 3 to 5 km.
Junchen Yang   +5 more
doaj   +5 more sources

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

open access: yesEarth 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   +4 more
doaj   +4 more sources

Lightning Mapping With an Array of Fast Antennas

open access: yesGeophysical Research Letters, 2018
Fast Antenna Lightning Mapping Array (FALMA), a low‐frequency lightning mapping system comprising an array of fast antennas, was developed and established in Gifu, Japan, during the summer of 2017.
Ting Wu, Daohong Wang, Nobuyuki Takagi
doaj   +4 more sources

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

open access: yesJournal of Geophysical Research D: Atmospheres, 2018
Abstract Lightning 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,
Brian M. Hare   +2 more
exaly   +7 more sources

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

open access: yesRemote Sensing, 2022
Lightning Very-high-frequency (VHF) broadband interferometer has become an effective approach to map lightning channels in two dimensions with high time resolution.
Zhuling Sun   +4 more
doaj   +3 more sources

Kalman Filter and Wavelet Cross-Correlation for VHF Broadband Interferometer Lightning Mapping

open access: yesApplied Sciences, 2020
Lightning mapping systems based on perpendicular crossed baseline interferometer (ITF) technology have been developed rapidly in recent years. Several processing methods have been proposed to estimate the temporal location and spatial map of lightning ...
Ammar Alammari   +9 more
doaj   +3 more sources

VHF Lightning Mapping Observations of a Triggered Lightning Flash [PDF]

open access: yesGeophysical Research Letters, 2012
On 3 August 2010 an extensive lightning flash was triggered over Langmuir Laboratory in New Mexico. The upward positive leader propagated into the storm's midlevel negative charge region, extending over a horizontal area of 13 × 13 km and 7.5 km altitude. The storm had a normal‐polarity tripolar charge structure with upper positive
Kenneth B Eack   +2 more
exaly   +2 more sources

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

open access: yesRemote 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   +6 more
doaj   +3 more sources

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