Abstract
AbstractLightning‐induced Electron Precipitation (LEP) events represent a known loss mechanism for radiation belt electrons. The quantitative role LEP events play in the radiation belt dyanmics, however, is not fully understood. Direct measurements of the D region of the ionosphere, where LEP electrons are deposited, are very limited. However, Very Low Frequency (VLF) remote sensing has for a long time been used to detect perturbations in the D region, in particular using the narrow‐frequency signals of VLF transmitting beacons. We present an automated neural‐network based search for LEP events using our network of VLF receivers in the continental US detecting, seeded by National Lightning Detection Network (NLDN) lightning strokes. We arrive at a database of nearly 26000 LEP events over a span of 18 months within the continental USA. We find several notable patterns in the occurrence and behavior of events, such as 30.1% of events only containing disturbances in phase, and a substantially greater probability of perturbations in phase and major axis amplitude being negative.
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