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Cited by 419

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Robust increases in severe thunderstorm environments in response to greenhouse forcing

Open access
Diffenbaugh, Noah S., Scherer, Martin, Trapp, Robert J.·2013·Proceedings of the National Academy of Sciences

Abstract

Significance: Severe thunderstorms are one of the primary causes of catastrophic loss in the United States. However, the response of such storms to elevated greenhouse forcing has remained highly uncertain. We use an ensemble of global climate model experiments to probe the severe thunderstorm response. We find that this ensemble exhibits robust increases in the occurrence of severe thunderstorm environments over the eastern United States. In addition, the simulated changes in the atmospheric environment indicate an increase in the number of days supportive of the spectrum of convective hazards, with the suggestion of a possible increase in the number of days supportive of tornadic storms. Given current vulnerabilities, such increases imply increasing risk of thunderstorm-related damage if global warming continues.

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Crossref · 10.1073/pnas.1307758110

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Metadata

Authors
Diffenbaugh, N. S., Scherer, M., & Trapp, R. J.
Venue
Proceedings of the National Academy of Sciences
Published
2013-09-23
Volume
110
Issue
41
Pages
16361-16366
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2015893567
Cited by
419
References
28
FWCI
17.12
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Robust increases in severe thunderstorm environments in response to greenhouse forcing. https://app.cochat.ai/papers/10.1073/pnas.1307758110
The paper
Diffenbaugh, N. S., Scherer, M., & Trapp, R. J. (2013). Robust increases in severe thunderstorm environments in response to greenhouse forcing. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1307758110

Data sources

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.