The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Influence of Modes of Climate Variability on Global Temperature Extremes
Open accessAbstract
The influence of large-scale modes of climate variability on worldwide summer and winter temperature extremes has been analyzed, namely, that of the El Niño–Southern Oscillation, the North Atlantic Oscillation, and Pacific interdecadal climate variability. Monthly indexes for temperature extremes from worldwide land areas are used describe moderate extremes, such as the number of exceedences of the 90th and 10th climatological percentiles, and more extreme events such as the annual, most extreme temperature. This study examines which extremes show a statistically significant (5%) difference between the positive and negative phases of a circulation regime. Results show that temperature extremes are substantially affected by large-scale circulation patterns, and they show distinct regional patterns of response to modes of climate variability. The effects of the El Niño–Southern Oscillation are seen throughout the world but most clearly around the Pacific Rim and throughout all of North America. Likewise, the influence of Pacific interdecadal variability is strongest in the Northern Hemisphere, especially around the Pacific region and North America, but it extends to the Southern Hemisphere. The North Atlantic Oscillation has a strong continent-wide effect for Eurasia, with a clear but weaker effect over North America. Modes of variability influence the shape of the daily temperature distribution beyond a simple shift, often affecting cold and warm extremes and sometimes daytime and nighttime temperatures differently. Therefore, for reliable attribution of changes in extremes as well as prediction of future changes, changes in modes of variability need to be accounted for.
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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
Processing of Mars Exploration Rover imagery for science and operations planning
Alexander, D. A., Deen, R. G., Andres, P. M., Zamani, P., Mortensen, H. B., Chen, A. C., Cayanan, M. K., Hall, J. R., Klochko, V. S., Pariser, O., et al. (2006) · Journal of Geophysical Research: Planets · doi:10.1029/2005je002462 · Cited by 163
Cited by
Perkins, S. E. (2015) · Atmospheric Research · doi:10.1016/j.atmosres.2015.05.014 · Cited by 875
Decadal Prediction: Can It Be Skillful?
Meehl, G. A., Goddard, L., Murphy, J., Stouffer, R. J., Boer, G., Danabasoglu, G., Dixon, K., Giorgetta, M. A., Greene, A. M., Hawkins, E., et al. (2009) · Bulletin of the American Meteorological Society · doi:10.1175/2009bams2778.1 · Cited by 755
Self-citationDunn, R. J. H., Alexander, L. V., Donat, M. G., Zhang, X., Bador, M., Herold, N., Lippmann, T., Allan, R., Aguilar, E., Barry, A. A., et al. (2020) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2019jd032263 · Cited by 480
Heat Waves: Physical Understanding and Scientific Challenges
Barriopedro, D., García‐Herrera, R., Ordóñez, C., Miralles, D. G., & Salcedo‐Sanz, S. (2023) · Reviews of Geophysics · doi:10.1029/2022rg000780 · Cited by 404
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
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Metadata
- Authors
- Kenyon, J., & Hegerl, G. C.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2008-08-01
- Volume
- 21
- Issue
- 15
- Pages
- 3872-3889
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2169151148
- Cited by
- 242
- References
- 2
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- green
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