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Influence of Modes of Climate Variability on Global Precipitation Extremes
Open accessAbstract
The probability of climate extremes is strongly affected by atmospheric circulation. This study quantifies the worldwide influence of three major modes of circulation on station-based indices of intense precipitation: the El Niño–Southern Oscillation, the Pacific interdecadal variability as characterized by the North Pacific index (NPI), and the North Atlantic Oscillation–Northern Annular Mode. The study examines which stations show a statistically significant (5%) difference between the positive and negative phases of a circulation regime. Results show distinct regional patterns of response to all these modes of climate variability; however, precipitation extremes are most substantially affected by the El Niño–Southern Oscillation. The effects of the El Niño–Southern Oscillation are seen throughout the world, including in India, Africa, South America, the Pacific Rim, North America, and, weakly, Europe. The North Atlantic Oscillation has a strong, continent-wide effect on Eurasia and affects a small, but not negligible, percentage of stations across the Northern Hemispheric midlatitudes. This percentage increases slightly if the Northern Annular Mode index is used rather than the NAO index. In that case, a region of increase in intense precipitation can also be found in Southeast Asia. The NPI influence on precipitation extremes is similar to the response to El Niño, and strongest in landmasses adjacent to the Pacific. Consistently, indices of more rare precipitation events show a weaker response to circulation than indices of moderate extremes; the results are quite similar, but of opposite sign, for negative anomalies of the circulation indices.
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Cites
An overview of the North Atlantic Oscillation
Hurrell, J. W., Kushnir, Y., Ottersen, G., & Visbeck, M. (2003) · Geophysical Monograph Series · doi:10.1029/134gm01 · Cited by 1,955
Cited by
The effect of volcanic eruptions on global precipitation
Iles, C. E., Hegerl, G. C., Schurer, A. P., & Zhang, X. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50678 · Cited by 163
Self-citationAdvances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe
Domeisen, D. I. V., White, C. J., Afargan-Gerstman, H., Muñoz, Á. G., Janiga, M. A., Vitart, F., Wulff, C. O., Antoine, S., Ardilouze, C., Batté, L., et al. (2022) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-20-0221.1 · Cited by 117
Subseasonal predictability of the North Atlantic Oscillation
Albers, J. R., & Newman, M. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abe781 · Cited by 43
Metadata
- Authors
- Kenyon, J., & Hegerl, G. C.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2010-12-01
- Volume
- 23
- Issue
- 23
- Pages
- 6248-6262
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2085269251
- Cited by
- 182
- References
- 1
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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