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  • Presentation | SA43A: Advances in Understanding the Characteristics of Auroral Precipitation and Its Effects in the Magnetosphere-Ionosphere-Thermosphere System I Oral
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  • SA43A-07: Quantifying Mesoscale Precipitation: Long-term, Large-scale Statistics of Pulsating Aurora Using an ML Identification Algorithm
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  • Location Icon280-282
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Author(s):
Allison Jaynes, University of Iowa (First Author, Presenting Author)
Mary Haag, University of Iowa
Jodie McLennan, University of Iowa
Riley Troyer, University of Iowa
Emma Spanswick, University of Calgary
Fei Wu, University of Iowa
Eric Donovan, University of Calgary
Kung-Sik Chan, University of Iowa
Darren Chaddock, University of Calgary


Pulsating aurora is a type of aurora that typically contains very high energy electrons. To understand where this energy gets deposited in our atmosphere, we use a large dataset of ground-based camera observations combined with machine learning to detect pulsating aurora and tell us the general scope of the auroral features in time and space.



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