The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Global and Regional Aspects of Tropical Cyclone Activity in the CMIP5 Models
Open accessAbstract
Tropical cyclone (TC) activity is analyzed in 14 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5). The global TC activity in the historical runs is compared with observations. The simulation of TC activity in the CMIP5 models is not as good as in higher-resolution simulations. The CMIP5 global TC frequency is much lower than observed, and there is significant deficiency in the geographical patterns of TC tracks and formation. Although all of the models underestimate the global frequency of TCs, the models present a wide range of global TC frequency. The models with the highest horizontal resolution have the highest level of global TC activity, though resolution is not the only factor that determines model TC activity. A cold SST bias could potentially contribute to the low number of TCs in the models. The models show no consensus regarding the difference of TC activity in two warming scenarios [representative concentration pathway 4.5 (RCP4.5) and RCP8.5] and the historical simulation. The author examined in more detail North Atlantic and eastern North Pacific TC activity in a subset of models and found no robust changes across models in TC frequency. Therefore, there is no robust signal across the CMIP5 models in global and regional TC changes in activity for future scenarios. The future changes in various large-scale environmental fields associated with TC activity were also examined globally: genesis potential index, potential intensity, vertical wind shear, and sea level pressure. The multimodel mean changes of these variables in the CMIP5 models are consistent with the changes obtained in the CMIP3 models.
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Cites
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Cited by
Knutson, T., Camargo, S. J., Chan, J. C. L., Emanuel, K., Ho, C.-H., Kossin, J., Mohapatra, M., Satoh, M., Sugi, M., Walsh, K., et al. (2020) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-18-0194.1 · Cited by 1,356
Self-citationTropical cyclones and climate change
Walsh, K. J. E., McBride, J. L., Klotzbach, P. J., Balachandran, S., Camargo, S. J., Holland, G., Knutson, T. R., Kossin, J. P., Lee, T., Sobel, A., et al. (2016) · WIREs Climate Change · doi:10.1002/wcc.371 · Cited by 837
Self-citationDownscaling CMIP5 climate models shows increased tropical cyclone activity over the 21st century
Emanuel, K. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301293110 · Cited by 832
Human influence on tropical cyclone intensity
Sobel, A. H., Camargo, S. J., Hall, T. M., Lee, C.-Y., Tippett, M. K., & Wing, A. A. (2016) · Science · doi:10.1126/science.aaf6574 · Cited by 420
Self-citationZhang, C., & Wang, Y. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0597.1 · Cited by 285
Metadata
- Authors
- Camargo, S. J.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2013-12-02
- Volume
- 26
- Issue
- 24
- Pages
- 9880-9902
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W1995618165
- Cited by
- 362
- References
- 104
- FWCI
- 14.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
