Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
Tobias Hell
Data Lab Hell GmbH, Zirl, Austria
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 647 (including HTML, PDF, and XML)
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606
35
6
647
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HTML: 606
PDF: 35
XML: 6
Total: 647
BibTeX: 4
EndNote: 5
Views and downloads (calculated since 27 Jun 2024)
Cumulative views and downloads
(calculated since 27 Jun 2024)
Total article views: 311 (including HTML, PDF, and XML)
HTML
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BibTeX
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270
35
6
311
4
5
HTML: 270
PDF: 35
XML: 6
Total: 311
BibTeX: 4
EndNote: 5
Views and downloads (calculated since 26 Feb 2025)
Cumulative views and downloads
(calculated since 26 Feb 2025)
Total article views: 336 (including HTML, PDF, and XML)
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336
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336
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Total: 336
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 27 Jun 2024)
Cumulative views and downloads
(calculated since 27 Jun 2024)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 647 (including HTML, PDF, and XML)
Thereof 607 with geography defined
and 40 with unknown origin.
Total article views: 311 (including HTML, PDF, and XML)
Thereof 299 with geography defined
and 12 with unknown origin.
Total article views: 336 (including HTML, PDF, and XML)
Thereof 308 with geography defined
and 28 with unknown origin.
As lightning is a brief and localized event, it is not explicitly resolved in atmospheric models. Instead, expert-based auxiliary descriptions are used to assess it. This study explores how AI can improve our understanding of lightning without relying on traditional expert knowledge. We reveal that AI independently identified the key factors known to experts as essential for lightning in the Alps region. This shows how knowledge discovery could be sped up in areas with limited expert knowledge.
As lightning is a brief and localized event, it is not explicitly resolved in atmospheric...