Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground-Based TGF Detection

Hung Yi Pu; S.A. Cummer; F. Lyu; Y. Zheng; M.S. Briggs; S. Lesage; B.G. Mailyan; O.J. Roberts

doi:10.1029/2022JD038369

Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground-Based TGF Detection

Hung Yi Pu
, S.A. Cummer
, F. Lyu
, Y. Zheng
, M.S. Briggs
, S. Lesage
, B.G. Mailyan
, O.J. Roberts

Physics

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

8 Citations (Scopus)

Original language	Undefined/Unknown
Journal	Journal of Geophysical Research: Atmospheres
DOIs	https://doi.org/10.1029/2022JD038369
Publication status	Published - 2023

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10.1029/2022JD038369

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title = "Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground-Based TGF Detection",

author = "Pu, \{Hung Yi\} and S.A. Cummer and F. Lyu and Y. Zheng and M.S. Briggs and S. Lesage and B.G. Mailyan and O.J. Roberts",

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doi = "10.1029/2022JD038369",

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journal = "Journal of Geophysical Research: Atmospheres",

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T1 - Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground-Based TGF Detection

AU - Pu, Hung Yi

AU - Cummer, S.A.

AU - Lyu, F.

AU - Zheng, Y.

AU - Briggs, M.S.

AU - Lesage, S.

AU - Mailyan, B.G.

AU - Roberts, O.J.

PY - 2023

Y1 - 2023

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U2 - 10.1029/2022JD038369

DO - 10.1029/2022JD038369

M3 - Article

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JO - Journal of Geophysical Research: Atmospheres

JF - Journal of Geophysical Research: Atmospheres

ER -

Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground-Based TGF Detection

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