The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Climate Modulation of North Atlantic Hurricane Tracks
Open accessAbstract
The variability of North Atlantic tropical storm and hurricane tracks, and its relationship to climate variability, is explored. Tracks from the North Atlantic hurricane database for the period 1950–2007 are objectively separated into four groups using a cluster technique that has been previously applied to tropical cyclones in other ocean basins. The four clusters form zonal and meridional separations of the tracks. The meridional separation largely captures the separation between tropical and more baroclinic systems, while the zonal separation segregates Gulf of Mexico and Cape Verde storms. General climatologies of the seasonality, intensity, landfall probability, and historical destructiveness of each cluster are documented, and relationships between cluster membership and climate variability across a broad spectrum of time scales are identified. Composites, with respect to cluster membership, of sea surface temperature and other environmental fields show that regional and remote modes of climate variability modulate the cluster members in substantially differing ways and further demonstrate that factors such as El Niño–Southern Oscillation (ENSO), Atlantic meridional mode (AMM), North Atlantic Oscillation (NAO), and Madden–Julian oscillation (MJO) have varying intrabasin influences on North Atlantic tropical storms and hurricanes. Relationships with African easterly waves are also considered. The AMM and ENSO are found to most strongly modulate the deep tropical systems, while the MJO most strongly modulates Gulf of Mexico storms and the NAO most strongly modulates storms that form to the north and west of their Cape Verde counterparts and closer to the NAO centers of action. Different clusters also contribute differently to the observed trends in North Atlantic storm frequency and may be related to intrabasin differences in sea surface temperature trends. Frequency trends are dominated by the deep tropical systems, which account for most of the major hurricanes and overall power dissipation. Contrarily, there are no discernable trends in the frequency of Gulf of Mexico storms, which account for the majority of landfalling storms. When the proportion that each cluster contributes to overall frequency is considered, there are clear shifts between the deep tropical systems and the more baroclinic systems. A shift toward proportionally more deep tropical systems began in the early to mid-1980s more than 10 years before the 1995 North Atlantic hurricane season, which is generally used to mark the beginning of the present period of heightened activity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Increasing destructiveness of tropical cyclones over the past 30 years.
Emanuel, K. (2005) · Nature · doi:10.1038/nature03906 · Cited by 4,013
The Recent Increase in Atlantic Hurricane Activity: Causes and Implications
Goldenberg, S. B., Landsea, C. W., Mestas-Nuñez, A. M., & Gray, W. M. (2001) · Science · doi:10.1126/science.1060040 · Cited by 1,769
Sahel rainfall and worldwide sea temperatures, 1901–85
Folland, C. K., Palmer, T. N., & Parker, D. E. (1986) · Nature · doi:10.1038/320602a0 · Cited by 1,147
A More General Framework for Understanding Atlantic Hurricane Variability and Trends
Kossin, J. P., & Vimont, D. J. (2007) · Bulletin of the American Meteorological Society · doi:10.1175/bams-88-11-1767 · Cited by 277
Self-citation
Cited by
Monitoring and Understanding Trends in Extreme Storms: State of Knowledge
Kunkel, K. E., Karl, T. R., Brooks, H., Kossin, J., Lawrimore, J. H., Arndt, D., Bosart, L., Changnon, D., Cutter, S. L., Doesken, N., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00262.1 · Cited by 536
Self-citationBalaguru, K., Foltz, G. R., & Leung, L. R. (2018) · Geophysical Research Letters · doi:10.1029/2018gl077597 · Cited by 149
Wang, C., Liu, H., Lee, S.-K., & Atlas, R. (2011) · Geophysical Research Letters · doi:10.1029/2011gl049265 · Cited by 81
Impacts of non‐canonical El Niño patterns on Atlantic hurricane activity
Larson, S., Lee, S., Wang, C., Chung, E., & Enfield, D. (2012) · Geophysical Research Letters · doi:10.1029/2012gl052595 · Cited by 42
Metadata
- Authors
- Kossin, J. P., Camargo, S. J., & Sitkowski, M.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2010-06-01
- Volume
- 23
- Issue
- 11
- Pages
- 3057-3076
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2170982948
- Cited by
- 324
- References
- 4
- FWCI
- 13.15
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Climate Modulation of North Atlantic Hurricane Tracks. https://app.cochat.ai/papers/10.1175/2010jcli3497.1
- The paper
- Kossin, J. P., Camargo, S. J., & Sitkowski, M. (2010). Climate Modulation of North Atlantic Hurricane Tracks. Journal of Climate. https://doi.org/10.1175/2010jcli3497.1
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.