Reevaluating the global and temporal distributions of lightning superbolts: insights from ENTLN data (2018–2021)

Lightning superbolts (SBs), defined as Cloud-to-Ground strikes (CGs) with extraordinarily high peak currents (Ips), represent a rare and extreme category of lightning events (< 1% of the total lightning). This study reevaluates the global and temporal distributions of SBs using data from the Earth Networks Total Lightning Network (ENTLN) collected between 2018 and 2021. By focusing on strokes with Ip ≥ 30 kA, which constitute approximately 3.25% of all recorded events, the study analyzes their spatial distribution, diel patterns, and land-ocean ratios and reevaluates the Ip cutoff for SBs. The results indicate that CGs with Ip > 30 kA are more densely concentrated over land than oceans, with continental hotspots identified in regions such as the Andes, Lake Maracaibo, the tall grass prairies of the United States and Southeast Asia. Conversely, oceanic CGs with Ip > 30 kA are relatively evenly distributed across latitudes but exhibit localized hotspots in areas such as the Mediterranean Sea, Gulf of Mexico, Maritime Indonesia and of the western coasts of Africa and Central America. The study also finds that CGs with Ip > 50 kA exhibit a sea-to-land ratio greater than one, peaking at ~ 15 for Ip > 120 kA before declining at higher Ip thresholds. Finally, temporal analyses reveal distinct diel patterns for CGs with Ips > 30,50,100 and 200 kA over land and sea, with oceanic distributions of the total lightning closely mirroring the Carnegie Curve's fair-weather atmospheric electric field diel variation.

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Publication Details

Journal
Scientific Reports
Published
2025-11-23
DOI
https://doi.org/10.1038/s41598-025-29669-w
Primary Topic
Lightning and Electromagnetic Phenomena
Type
article
Field-Weighted Citation Impact
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article

Reevaluating the global and temporal distributions of lightning superbolts: insights from ENTLN data (2018–2021)

Mustafa Asfur, Jacob Silverman
Scientific Reports
Lightning and Electromagnetic Phenomena
article

Reevaluating the global and temporal distributions of lightning superbolts: insights from ENTLN data (2018–2021)

Mustafa Asfur, Jacob Silverman
article en

Abstract

Lightning superbolts (SBs), defined as Cloud-to-Ground strikes (CGs) with extraordinarily high peak currents (Ips), represent a rare and extreme category of lightning events (< 1% of the total lightning). This study reevaluates the global and temporal distributions of SBs using data from the Earth Networks Total Lightning Network (ENTLN) collected between 2018 and 2021. By focusing on strokes with Ip ≥ 30 kA, which constitute approximately 3.25% of all recorded events, the study analyzes their spatial distribution, diel patterns, and land-ocean ratios and reevaluates the Ip cutoff for SBs. The results indicate that CGs with Ip > 30 kA are more densely concentrated over land than oceans, with continental hotspots identified in regions such as the Andes, Lake Maracaibo, the tall grass prairies of the United States and Southeast Asia. Conversely, oceanic CGs with Ip > 30 kA are relatively evenly distributed across latitudes but exhibit localized hotspots in areas such as the Mediterranean Sea, Gulf of Mexico, Maritime Indonesia and of the western coasts of Africa and Central America. The study also finds that CGs with Ip > 50 kA exhibit a sea-to-land ratio greater than one, peaking at ~ 15 for Ip > 120 kA before declining at higher Ip thresholds. Finally, temporal analyses reveal distinct diel patterns for CGs with Ips > 30,50,100 and 200 kA over land and sea, with oceanic distributions of the total lightning closely mirroring the Carnegie Curve's fair-weather atmospheric electric field diel variation.

Scientific ReportsVol. 15(1)
Ruppin Academic Center (IL), Israel Oceanographic and Limnological Research (IL)
Ruppin Academic Center
Openalex Percentile: Top 75%
Lightning and Electromagnetic Phenomena
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Reevaluating the global and temporal distributions of lightning superbolts: insights from ENTLN data (2018–2021) — Mustafa Asfur, Jacob Silverman · Scientific Reports (2025) | TGRS Research Map | TGRS