The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Human influence on tropical cyclone intensity
Abstract
Recent assessments agree that tropical cyclone intensity should increase as the climate warms. Less agreement exists on the detection of recent historical trends in tropical cyclone intensity. We interpret future and recent historical trends by using the theory of potential intensity, which predicts the maximum intensity achievable by a tropical cyclone in a given local environment. Although greenhouse gas–driven warming increases potential intensity, climate model simulations suggest that aerosol cooling has largely canceled that effect over the historical record. Large natural variability complicates analysis of trends, as do poleward shifts in the latitude of maximum intensity. In the absence of strong reductions in greenhouse gas emissions, future greenhouse gas forcing of potential intensity will increasingly dominate over aerosol forcing, leading to substantially larger increases in tropical cyclone intensities.
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Cites
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Cited by
Tropical cyclones and climate change
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Self-citationAnthropogenic influences on major tropical cyclone events
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Hurricane Harvey Links to Ocean Heat Content and Climate Change Adaptation
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Tsunami-driven rafting: Transoceanic species dispersal and implications for marine biogeography
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Metadata
- Authors
- Sobel, A. H., Camargo, S. J., Hall, T. M., Lee, C.-Y., Tippett, M. K., & Wing, A. A.
- Venue
- Science
- Published
- 2016-07-15
- Volume
- 353
- Issue
- 6296
- Pages
- 242-246
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2473388235
- Cited by
- 420
- References
- 78
- FWCI
- 19.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sobel, A. H., Camargo, S. J., Hall, T. M., Lee, C.-Y., Tippett, M. K., & Wing, A. A. (2016). Human influence on tropical cyclone intensity. Science. https://doi.org/10.1126/science.aaf6574
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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.
