Recent severe thunderstorm activity has highlighted the dangers associated with lightning strikes. In the span of less than a week in early August, lightning led to several injuries and fatalities., while another man was injured in the same incident.
Lightning is a significant threat to life and property, and particularly hazardous for those working outdoors and participating in recreational activities. GLM data provides awareness of local lightning conditions and promotes better lightning safety decisions, leading to fewer lightning-related injuries and deaths. In large, long-lived storm systems, lightning may travel hundreds of miles before striking the ground.
Scientists are using artificial intelligence to predict where GLM will observe lightning. To accomplish this, a sophisticated machine-learning algorithm was trained, using GLM data, to recognize complex patterns in ABI imagery that often precede lightning activity., predicts where lightning is most likely to occur even before precipitation forms.
During the last few months, LightningCast was evaluated in real-time by National Weather Service forecasters within several NOAA testbeds. Forecasters gave very favorable feedback, saying LightningCast often provides actionable lead time to lightning initiation , aids in NWS impact-based decision support services to partners, and provides situational awareness for nowcasting thunderstorms.
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