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Cited by 295

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Possible implications of global climate change on global lightning distributions and frequencies

·1994·Journal of Geophysical Research: Atmospheres

Abstract

The Goddard Institute for Space Studies (GISS) general circulation model (GCM) is used to study the possible implications of past and future climate change on global lightning frequencies. Two climate change experiments were conducted: one for a 2×CO 2 climate (representing a 4.2°C global warming) and one for a 2% decrease in the solar constant (representing a 5.9°C global cooling). The results suggest a 30% increase in global lightning activity for the warmer climate and a 24% decrease in global lightning activity for the colder climate. This implies an approximate 5–6% change in global lightning frequencies for every 1°C global warming/cooling. Both intracloud and cloud‐to‐ground frequencies are modeled, with cloud‐to‐ground lightning frequencies showing larger sensitivity to climate change than intracloud frequencies. The magnitude of the modeled lightning changes depends on season, location, and even time of day.

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Crossref · 10.1029/94jd00019

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Metadata

Venue
Journal of Geophysical Research: Atmospheres
Published
1994-05-20
Volume
99
Issue
D5
Pages
10823-10831
ISSN
0148-0227 (ISSN-L)
OpenAlex
W2014067085
Cited by
295
References
19
FWCI
7.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Possible implications of global climate change on global lightning distributions and frequencies. https://app.cochat.ai/papers/10.1029/94jd00019
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Possible implications of global climate change on global lightning distributions and frequencies. (1994). Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/94jd00019

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.