The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The Atlantic Meridional Mode and hurricane activity
Abstract
Connections between the Atlantic Meridional Mode (AMM) and seasonal hurricane activity are investigated. The AMM, a dynamical “mode” of variability intrinsic to the tropical coupled ocean‐atmosphere system, is strongly related to seasonal hurricane activity on both decadal and interannual time scales. The connection arises due to the AMM's relationship with a number of local climatic conditions that all cooperate in their influence on hurricane activity. Further analysis indicates that the Atlantic Multi‐decadal Oscillation (AMO) can excite the AMM on decadal time scales. As such, it is suggested that the AMO's influence on seasonal hurricane activity manifests itself through the AMM. This relationship between the AMM, AMO, and seasonal hurricane activity refocuses our understanding of how climate variations relate to seasonal hurricane activity in the Atlantic, and offers an improved framework beyond purely thermodynamic arguments that relates hurricanes to large‐scale climate variations.
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Cites
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Cited by
Sea Surface Temperature Variability: Patterns and Mechanisms
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Anthropogenic influences on major tropical cyclone events
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TropFlux: air-sea fluxes for the global tropical oceans—description and evaluation
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A More General Framework for Understanding Atlantic Hurricane Variability and Trends
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Self-citation
Metadata
- Authors
- Vimont, D. J., & Kossin, J. P.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2007-04
- Volume
- 34
- Issue
- 7
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2086495392
- Cited by
- 329
- References
- 24
- FWCI
- 12.22
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
