期刊
REMOTE SENSING
卷 14, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/rs14092209
关键词
Earth Networks Total Lightning Network; lightning detection; lightning classification; location accuracy
The Earth Networks Total Lightning Network (ENTLN) launched a new processor in December 2021, which includes upgrades in classification algorithm, propagation model, and data processing architecture. Evaluation using ground-truth datasets showed improved performance in stroke classification accuracy, location accuracy, and overall detection gain on a global scale.
The Earth Networks Total Lightning Network (ENTLN) launched a new processor (P2021) in December 2021. Some major upgrades were made in the new processor, including a new classification algorithm, a new propagation model, and regional data processing architecture. Ground-truth datasets of natural and rocket-triggered lightning acquired in Florida were used to evaluate the performance characteristics of the new processor. Compared to the last processor launched in 2015 (P2015), the stroke classification accuracy increased from 91% to 94% for natural lightning and from 86% to 88% for rocket-triggered lightning. The location accuracy improved significantly with the median location error decreasing from 215 m to 92 m. On a global scale, we found the number of pulses detected by the ENLTN increased in all regions with an overall detection gain of 149%. One can see modest gains in detection in regions with a fairly dense network of sensors and significant gains in regions where sensor density is much lower. Each of the major upgrades as well as their influences on the performance characteristics of the ENLTN are discussed.
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