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Cited by 1,073

The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.

Understanding ENSO Diversity

Open access
Capotondi, Antonietta, Wittenberg, Andrew T., Newman, Matthew, Di Lorenzo, Emanuele, Yu, Jin-Yi, Braconnot, Pascale, Cole, Julia, Dewitte, Boris, Giese, Benjamin, Guilyardi, Eric, Jin, Fei-Fei, Karnauskas, Kristopher, Kirtman, Benjamin, Lee, Tong, Schneider, Niklas, Xue, Yan, Yeh, Sang-Wook·2015·Bulletin of the American Meteorological Society

Abstract

El Niño–Southern Oscillation (ENSO) is a naturally occurring mode of tropical Pacific variability, with global impacts on society and natural ecosystems. While it has long been known that El Niño events display a diverse range of amplitudes, triggers, spatial patterns, and life cycles, the realization that ENSO’s impacts can be highly sensitive to this event-to-event diversity is driving a renewed interest in the subject. This paper surveys our current state of knowledge of ENSO diversity, identifies key gaps in understanding, and outlines some promising future research directions.

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Metadata

Authors
Capotondi, A., Wittenberg, A. T., Newman, M., Di Lorenzo, E., Yu, J.-Y., Braconnot, P., Cole, J., Dewitte, B., Giese, B., Guilyardi, E., Jin, F.-F., Karnauskas, K., Kirtman, B., Lee, T., Schneider, N., Xue, Y., & Yeh, S.-W.
Venue
Bulletin of the American Meteorological Society
Published
2015-06-01
Volume
96
Issue
6
Pages
921-938
ISSN
  • 0003-0007 (ISSN-L)
  • 1520-0477
OpenAlex
W2018977279
Cited by
1,073
References
132
FWCI
42.87
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Understanding ENSO Diversity. https://app.cochat.ai/papers/10.1175/bams-d-13-00117.1
The paper
Capotondi, A., Wittenberg, A. T., Newman, M., Di Lorenzo, E., Yu, J.-Y., Braconnot, P., Cole, J., Dewitte, B., Giese, B., Guilyardi, E., Jin, F.-F., Karnauskas, K., Kirtman, B., Lee, T., Schneider, N., Xue, Y., & Yeh, S.-W. (2015). Understanding ENSO Diversity. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-13-00117.1

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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.