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Extra-tropical cyclones in the present and future climate: a review

Open access
Ulbrich, U., Leckebusch, G. C., Pinto, J. G.·2009·Theoretical and Applied Climatology

Abstract

Based on the availability of hemispheric gridded data sets from observations, analysis and global climate models, objective cyclone identification methods were developed and applied to these data sets. Due to the large amount of investigation methods combined with the variety of different datasets, a multitude of results exist, not only for the recent climate period but also for the next century, assuming anthropogenic changed conditions. Different thresholds, different physical quantities, and considerations of different atmospheric vertical levels add to a picture that is difficult to combine into a common view of cyclones, their variability and trends, in the real world and in GCM studies. Thus, this paper will give a comprehensive review of the actual knowledge on climatologies of mid-latitude cyclones for the Northern and Southern Hemisphere for the present climate and for its possible changes under anthropogenic climate conditions.

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Metadata

Authors
Ulbrich, U., Leckebusch, G. C., & Pinto, J. G.
Venue
Theoretical and Applied Climatology
Published
2009-01-17
Volume
96
Issue
1-2
Pages
117-131
ISSN
  • 0066-6424 (ISSN-L)
  • 0177-798X
  • 1434-4483
OpenAlex
W1982213580
Cited by
540
References
0
FWCI
25.66
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Extra-tropical cyclones in the present and future climate: a review. https://app.cochat.ai/papers/10.1007/s00704-008-0083-8
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Ulbrich, U., Leckebusch, G. C., & Pinto, J. G. (2009). Extra-tropical cyclones in the present and future climate: a review. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-008-0083-8

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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.