Abstract

The Earth Networks Total Lightning Network (ENTLN) incorporates advanced lightning location technology delivering competitive lightning detection efficiency and location accuracy. ENTLN can detect both in-cloud (IC) and cloud-to-ground (CG) lightning. It consists of over 1600 wideband sensors deployed in 40+ countries to detect lightning and generate faster-localized storm alerts. Since its initial deployment, several improvements were made over the years to enhance its performance and usability. Notable ones are the addition of many new sensors each year to improve detection efficiency and extend lightning detection coverage to any regions of the world. Firmware improvements have also been made to further increase sensitivity, and the implementation of a multi-parameter classification algorithm allows IC and CG pulses to be distinguished with very good accuracy. A performance study was conducted to evaluate the characteristics of the ENTLN. The results of the study show that the detection efficiency and the classification accuracy of the new ENTLN processor have greatly improved. ENTLN data is used to track the properties of storms cells, such as the lightning flash rate, cell direction, and speed as a basis for issuing alerts for thunderstorms that have the potential for severe weather. Most severe convective storms can generate high IC flash rate and high IC/CG flash-rate ratios. When rates exceed critical thresholds, Dangerous Thunderstorm Alerts (DTAs) are issued. The system helps in predicting the storm dangers by generating a DTA with significant lead time before the ground-level severe weather. Through the life of the DTA warned storm, the storm cells are monitored continuously, which enhances the situational awareness. In this study, we analyze several severe weather events to estimate the effectiveness of DTAs as well as implications for improving public safety.

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