The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Two Types of El Niño Events: Cold Tongue El Niño and Warm Pool El Niño
Open accessAbstract
In this study, two types of El Niño events are classified based on spatial patterns of the sea surface temperature (SST) anomaly. One is the cold tongue (CT) El Niño, which can be regarded as the conventional El Niño, and the other the warm pool (WP) El Niño. The CT El Niño is characterized by relatively large SST anomalies in the Niño-3 region (5°S–5°N, 150°–90°W), while the WP El Niño is associated with SST anomalies mostly confined to the Niño-4 region (5°S–5°N, 160°E–150°W). In addition, spatial patterns of many atmospheric and oceanic variables are also distinctively different for the two types of El Niño events. Furthermore, the difference in the transition mechanism between the two types of El Niño is clearly identified. That is, the discharge process of the equatorial heat content associated with the WP El Niño is not efficient owing to the spatial structure of SST anomaly; as a result, it cannot trigger a cold event. It is also demonstrated that zonal advective feedback (i.e., zonal advection of mean SST by anomalous zonal currents) plays a crucial role in the development of a decaying SST anomaly associated with the WP El Niño, while thermocline feedback is a key process during the CT El Niño.
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
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
Contrasting Eastern-Pacific and Central-Pacific Types of ENSO
Kao, H.-Y., & Yu, J.-Y. (2009) · Journal of Climate · doi:10.1175/2008jcli2309.1 · Cited by 1,695
Cited by
Yeh, S.-W., Kug, J.-S., Dewitte, B., Kwon, M.-H., Kirtman, B. P., & Jin, F.-F. (2009) · Nature · doi:10.1038/nature08316 · Cited by 1,592
Self-citationEl Niño–Southern Oscillation complexity
Timmermann, A., An, S.-I., Kug, J.-S., Jin, F.-F., Cai, W., Capotondi, A., Cobb, K. M., Lengaigne, M., McPhaden, M. J., Stuecker, M. F., et al. (2018) · Nature · doi:10.1038/s41586-018-0252-6 · Cited by 1,204
Self-citationCapotondi, A., Wittenberg, A. T., Newman, M., Di Lorenzo, E., Yu, J.-Y., Braconnot, P., Cole, J., Dewitte, B., Giese, B., Guilyardi, E., et al. (2015) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-13-00117.1 · Cited by 1,073
Self-citationClimate 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
Increasing intensity of El Niño in the central‐equatorial Pacific
Lee, T., & McPhaden, M. J. (2010) · Geophysical Research Letters · doi:10.1029/2010gl044007 · Cited by 767
Metadata
- Authors
- Kug, J.-S., Jin, F.-F., & An, S.-I.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2009-03-15
- Volume
- 22
- Issue
- 6
- Pages
- 1499-1515
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2041208164
- Cited by
- 1,426
- References
- 2
- FWCI
- 23.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.