The DOI matches its Crossref record; 258 of the 258 references it cites were found in a registry or an index.
The Defining Characteristics of ENSO Extremes and the Strong 2015/2016 El Niño
Open accessAbstract
The year 2015 was special for climate scientists, particularly for the El Niño Southern Oscillation (ENSO) research community, as a major El Niño finally materialized after a long pause since the 1997/1998 extreme El Niño. It was scientifically exciting since, due to the short observational record, our knowledge of an extreme El Niño has been based only on the 1982/1983 and 1997/1998 events. The 2015/2016 El Niño was marked by many environmental disasters that are consistent with what is expected for an extreme El Niño. Considering the dramatic impacts of extreme El Niño, and the risk of a potential increase in frequency of ENSO extremes under greenhouse warming, it is timely to evaluate how the recent event fits into our understanding of ENSO extremes. Here we provide a review of ENSO, its nature and dynamics, and through analysis of various observed key variables, we outline the processes that characterize its extremes. The 2015/2016 El Niño brings a useful perspective into the state of understanding of these events and highlights areas for future research. While the 2015/2016 El Niño is characteristically distinct from the 1982/1983 and 1997/1998 events, it still can be considered as the first extreme El Niño of the 21st century. Its extremity can be attributed in part to unusually warm condition in 2014 and to long‐term background warming. In effect, this study provides a list of physically meaningful indices that are straightforward to compute for identifying and tracking extreme ENSO events in observations and climate models.
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Cites
The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., & Kaplan, A. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd002670 · Cited by 10,991
A Pacific Interdecadal Climate Oscillation with Impacts on Salmon Production
Mantua, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., & Francis, R. C. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078<1069:apicow>2.0.co;2 · Cited by 7,099
A dipole mode in the tropical Indian Ocean
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999) · Nature · doi:10.1038/43854 · Cited by 5,510
Adler, R. F., Huffman, G. J., Chang, A. T. C., Ferraro, R. R., Xie, P., Janowiak, J. E., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D. T., et al. (2003) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2 · Cited by 5,425
Xie, P., & Arkin, P. A. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078<2539:gpayma>2.0.co;2 · Cited by 4,307
Huang, B., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore, J. H., Menne, M. J., Smith, T. M., Vose, R. S., & Zhang, H.-M. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0836.1 · Cited by 3,230
THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
Meehl, G. A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J. F. B., Stouffer, R. J., & Taylor, K. E. (2007) · Bulletin of the American Meteorological Society · doi:10.1175/bams-88-9-1383 · Cited by 2,826
El Niño Modoki and its possible teleconnection
Ashok, K., Behera, S. K., Rao, S. A., Weng, H., & Yamagata, T. (2007) · Journal of Geophysical Research: Oceans · doi:10.1029/2006jc003798 · Cited by 2,721
Cited by
Climate impacts of the El Niño–Southern Oscillation on South America
Cai, W., McPhaden, M. J., Grimm, A. M., Rodrigues, R. R., Taschetto, A. S., Garreaud, R. D., Dewitte, B., Poveda, G., Ham, Y.-G., Santoso, A., et al. (2020) · Nature Reviews Earth & Environment · doi:10.1038/s43017-020-0040-3 · Cited by 782
Self-citationChanging El Niño–Southern Oscillation in a warming climate
Cai, W., Santoso, A., Collins, M., Dewitte, B., Karamperidou, C., Kug, J.-S., Lengaigne, M., McPhaden, M. J., Stuecker, M. F., Taschetto, A. S., et al. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-021-00199-z · Cited by 702
Self-citationEvaluating Climate Models with the CLIVAR 2020 ENSO Metrics Package
Planton, Y. Y., Guilyardi, E., Wittenberg, A. T., Lee, J., Gleckler, P. J., Bayr, T., McGregor, S., McPhaden, M. J., Power, S., Roehrig, R., et al. (2021) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-19-0337.1 · Cited by 246
Self-citationMateria, S., García, L. P., van Straaten, C., O, S., Mamalakis, A., Cavicchia, L., Coumou, D., de Luca, P., Kretschmer, M., & Donat, M. (2024) · WIREs Climate Change · doi:10.1002/wcc.914 · Cited by 130
“Ocean – atmosphere coupled mechanisms act on a wide range of timescales, from weeks to multiple years (see Santoso et al., 2017 for extreme ENSO events; Hardiman et al., 2020 for S2S drivers of record warm European winters, Ding et al., 2022 for multi-year predictability of ENSO warm/cold phases),…”
ENSO Impact on Marine Fisheries and Ecosystems
Lehodey, P., Bertrand, A., Hobday, A. J., Kiyofuji, H., McClatchie, S., Menkès, C. E., Pilling, G., Polovina, J., & Tommasi, D. (2020) · Geophysical Monograph Series · doi:10.1002/9781119548164.ch19 · Cited by 73
Metadata
- Authors
- Santoso, A., Mcphaden, M. J., & Cai, W.
- Venue
- Reviews of Geophysics
- Publisher
- American Geophysical Union (AGU)
- Published
- 2017-12
- Volume
- 55
- Issue
- 4
- Pages
- 1079-1129
- ISSN
- 0096-1043 (ISSN-L)
- 8755-1209
- 1944-9208
- OpenAlex
- W2770679673
- Cited by
- 549
- References
- 258
- FWCI
- 26.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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