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Creators/Authors contains: "Briggs, Michael S."

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  1. ; ; ; ; ; ; ; (, Journal of Geophysical Research: Atmospheres)
    Key Points A framework merging unsupervised clustering and supervised convolutional neural network (CNN) for lightning classification is developed Clustering of positive polarity energetic lightning radio pulses (>150 kA) identifies three processes: +EIPs (6%–7%), +NBEs, and +CGs CNNs detect 95.2% of manually identified +EIPs with up to 98.7% accuracy, enabling studying EIP‐TGF link with lower peak current (>50 kA) 
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  2. ; ; ; ; ; ; ; ; ; ; et al (, Geophysical Research Letters)
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  3. ; ; ; ; ; ; ; (, Geophysical Research Letters)
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