The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Quantifying the Relevance of Cyclones for Precipitation Extremes
Open accessAbstract
Owing to the huge potential impact of precipitation extremes on society, it is important to better understand the mechanisms causing these events, and their variations with respect to a changing climate. In this study, the importance of a particular category of weather systems, namely cyclones, for the occurrence of regional-scale precipitation extremes is quantified globally using the ECMWF Interim reanalysis (ERA-Interim) dataset. Such an event-based climatological approach complements previous case studies, which established the physical relationship between cyclones and heavy precipitation. A high percentage of precipitation extremes is found to be directly related to cyclones. Regional hot spots are identified where this percentage of cyclone-induced precipitation extremes exceeds 80% (e.g., in the Mediterranean region, Newfoundland, near Japan, and over the South China Sea). The results suggest that in these regions changes of heavy precipitation with global warming are specifically sensitive to variations in the dynamical forcing, for example, related to shifts of the storm tracks. Furthermore, properties of cyclones causing extreme precipitation are investigated. In the exit regions of the Northern Hemisphere storm tracks, these cyclones are on average slightly more intense than low pressure systems not associated with precipitation extremes, but no differences with respect to minimum core pressure are found in most other parts of the midlatitudes. The fundamental linkage between cyclones and precipitation extremes may thus provide guidance to forecasters involved in flood prediction, but it is unlikely that forecasting rules based on simple cyclone properties can be established.
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Cites
The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480
Climate Extremes: Observations, Modeling, and Impacts
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R., & Mearns, L. O. (2000) · Science · doi:10.1126/science.289.5487.2068 · Cited by 4,867
Joyce, R. J., Janowiak, J. E., Arkin, P. A., & Xie, P. (2004) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2004)005<0487:camtpg>2.0.co;2 · Cited by 3,208
The Changing Character of Precipitation
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003) · Bulletin of the American Meteorological Society · doi:10.1175/bams-84-9-1205 · Cited by 3,196
Constraints on future changes in climate and the hydrologic cycle
Allen, M. R., & Ingram, W. J. (2002) · Nature · doi:10.1038/nature01092 · Cited by 3,009
Atmospheric Warming and the Amplification of Precipitation Extremes
Allan, R. P., & Soden, B. J. (2008) · Science · doi:10.1126/science.1160787 · Cited by 1,562
O'Gorman, P. A., & Schneider, T. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907610106 · Cited by 1,154
New Perspectives on the Northern Hemisphere Winter Storm Tracks
Hoskins, B. J., & Hodges, K. I. (2002) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(2002)059<1041:npotnh>2.0.co;2 · Cited by 935
Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000
Pall, P., Aina, T., Stone, D. A., Stott, P. A., Nozawa, T., Hilberts, A. G. J., Lohmann, D., & Allen, M. R. (2011) · Nature · doi:10.1038/nature09762 · Cited by 871
A Lagrangian‐based analysis of extratropical cyclones. I: The method and some applications
Wernli, H., & Davies, H. C. (1997) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49712353811 · Cited by 837
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Cited by
Understanding the regional pattern of projected future changes in extreme precipitation
Pfahl, S., O’Gorman, P. A., & Fischer, E. M. (2017) · Nature Climate Change · doi:10.1038/nclimate3287 · Cited by 1,040
Self-citationPrecipitation Extremes Under Climate Change
O’Gorman, P. A. (2015) · Current Climate Change Reports · doi:10.1007/s40641-015-0009-3 · Cited by 881
“2) is small in the extratropics, consistent with the fact that most precipitation extremes there are associated with cyclones and fronts [69,13] that may be expected to be reasonably well simulated.”
BackgroundObserved heavy precipitation increase confirms theory and early models
Fischer, E. M., & Knutti, R. (2016) · Nature Climate Change · doi:10.1038/nclimate3110 · Cited by 758
Bevacqua, E., Maraun, D., Vousdoukas, M. I., Voukouvalas, E., Vrac, M., Mentaschi, L., & Widmann, M. (2019) · Science Advances · doi:10.1126/sciadv.aaw5531 · Cited by 584
Pfahl, S., & Wernli, H. (2012) · Geophysical Research Letters · doi:10.1029/2012gl052261 · Cited by 403
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Metadata
- Authors
- Pfahl, S., & Wernli, H.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2012-04-16
- Volume
- 25
- Issue
- 19
- Pages
- 6770-6780
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2147297523
- Cited by
- 395
- References
- 28
- FWCI
- 10.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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