Predicting Cloud-To-Ground Lightning in the Western United States From the Large-Scale Environment Using Explainable Neural Networks.
- DOI
- 10.1029/2024jd042147
- Published
- 2024 Nov 28
- Container
- Journal of geophysical research. Atmospheres : JGR
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1029/2024jd042147,
title = {Predicting Cloud-To-Ground Lightning in the Western United States From the Large-Scale Environment Using Explainable Neural Networks.},
author = {Kalashnikov DA and Davenport FV and Labe ZM and Loikith PC and Abatzoglou JT and Singh D},
year = {2024},
journal = {Journal of geophysical research. Atmospheres : JGR},
doi = {10.1029/2024jd042147},
url = {https://doi.org/10.1029/2024jd042147}
}RIS
TY - JOUR TI - Predicting Cloud-To-Ground Lightning in the Western United States From the Large-Scale Environment Using Explainable Neural Networks. AU - Kalashnikov DA AU - Davenport FV AU - Labe ZM AU - Loikith PC AU - Abatzoglou JT AU - Singh D PY - 2024 JO - Journal of geophysical research. Atmospheres : JGR DO - 10.1029/2024jd042147 UR - https://doi.org/10.1029/2024jd042147 ER -
APA
DA, K., FV, D., ZM, L., PC, L., JT, A., & D, S. (2024). Predicting Cloud-To-Ground Lightning in the Western United States From the Large-Scale Environment Using Explainable Neural Networks.. Journal of geophysical research. Atmospheres : JGR. https://doi.org/10.1029/2024jd042147
Source records
- pubmed · retrieved 2026-09-26T02:53:54.148Z