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Cited by 2,110

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

ENSO as an Integrating Concept in Earth Science

McPhaden, Michael J., Zebiak, Stephen E., Glantz, Michael H.·2006·Science

Abstract

The El Niño–Southern Oscillation (ENSO) cycle of alternating warm El Niño and cold La Niña events is the dominant year-to-year climate signal on Earth. ENSO originates in the tropical Pacific through interactions between the ocean and the atmosphere, but its environmental and socioeconomic impacts are felt worldwide. Spurred on by the powerful 1997–1998 El Niño, efforts to understand the causes and consequences of ENSO have greatly expanded in the past few years. These efforts reveal the breadth of ENSO's influence on the Earth system and the potential to exploit its predictability for societal benefit. However, many intertwined issues regarding ENSO dynamics, impacts, forecasting, and applications remain unresolved. Research to address these issues will not only lead to progress across a broad range of scientific disciplines but also provide an opportunity to educate the public and policy makers about the importance of climate variability and change in the modern world.

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Crossref · 10.1126/science.1132588

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Metadata

Authors
McPhaden, M. J., Zebiak, S. E., & Glantz, M. H.
Venue
Science
Published
2006-12-15
Volume
314
Issue
5806
Pages
1740-1745
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1983066276
Cited by
2,110
References
56
FWCI
22.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ENSO as an Integrating Concept in Earth Science. https://app.cochat.ai/papers/10.1126/science.1132588
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McPhaden, M. J., Zebiak, S. E., & Glantz, M. H. (2006). ENSO as an Integrating Concept in Earth Science. Science. https://doi.org/10.1126/science.1132588

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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.