The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The El Niño-Southern Oscillation Phenomenon
Abstract
Many climatic extremes around the globe, such as severe droughts and floods, can be attributed to the periodic warming of the equatorial Pacific sea surface, termed the El Niño or Southern Oscillation (ENSO). Advances in our understanding of ENSO, in which Edward Sarachik and Mark Cane have been key participants, have led to marked improvements in our ability to predict its development months or seasons, allowing adaptation to global impacts. The book introduces basic concepts and builds to more detailed theoretical treatments. Chapters on the structure and dynamics of the tropical ocean and atmosphere place ENSO in a broader observational and theoretical context. Chapters on ENSO prediction, past and future, and impacts introduce broader implications of the phenomenon. This book provides an introduction to all aspects of this most important mode of global climate variability, for research workers and students of all levels in climate science, oceanography and related fields.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization
Large, W. G., McWilliams, J. C., & Doney, S. C. (1994) · Reviews of Geophysics · doi:10.1029/94rg01872 · Cited by 4,443
Some simple solutions for heat‐induced tropical circulation
Gill, A. E. (1980) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710644905 · Cited by 4,394
Atmospheric Modeling, Data Assimilation and Predictability
Kalnay, E. (2002) · doi:10.1017/cbo9780511802270 · Cited by 3,391
Atmospheric carbon dioxide concentrations over the past 60 million years
Pearson, P. N., & Palmer, M. R. (2000) · Nature · doi:10.1038/35021000 · Cited by 1,771
The Eigenfunctions of Laplace's Tidal Equations over a Sphere
Longuet-Higgins, M. S. (1968) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.1968.0003 · Cited by 687
Doblas-Reyes, F. J., Hagedorn, R., & Palmer, T. N. (2005) · Tellus A: Dynamic Meteorology and Oceanography · doi:10.3402/tellusa.v57i3.14658 · Cited by 340
Cited by
Seasonal climate predictability and forecasting: status and prospects
Doblas‐Reyes, F. J., García‐Serrano, J., Lienert, F., Biescas, A. P., & Rodrigues, L. R. L. (2013) · WIREs Climate Change · doi:10.1002/wcc.217 · Cited by 478
Lucente, D., Herbert, C., & Bouchet, F. (2022) · Journal of the Atmospheric Sciences · doi:10.1175/jas-d-22-0038.1 · Cited by 28
Metadata
- Authors
- Sarachik, E. S., & Cane, M. A.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2010-02-18
- OpenAlex
- W344004834
- Cited by
- 301
- References
- 6
- FWCI
- 13.04
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The El Niño-Southern Oscillation Phenomenon. https://app.cochat.ai/papers/10.1017/cbo9780511817496
- The paper
- Sarachik, E. S., & Cane, M. A. (2010). The El Niño-Southern Oscillation Phenomenon. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511817496
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.