The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Strong influence of El Niño Southern Oscillation on flood risk around the world
Open accessAbstract
Significance: El Niño Southern Oscillation (ENSO) affects hydrological processes around the globe. However, little is known about its influence on the socioeconomic impacts of flooding (i.e., flood risk). We present, to our knowledge, the first global assessment of ENSO’s influence on flood risk in terms of economic damage and exposed population and gross domestic product. We show that reliable flood risk anomalies exist during ENSO years in basins spanning almost half of Earth’s surface. These results are significant for flood-risk management. Because ENSO can be predicted with lead times of several seasons with some skill, the findings pave the way for developing probabilistic flood-risk projections. These could be used for improved disaster planning, such as temporarily increasing food and medicine stocks by relief agencies.
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
Climate Change 2007: The Physical Science Basis.
Schiavon, S., & Zecchin, R. (2007) · eScholarship (California Digital Library) · Cited by 16,994
(2007) · Medical Entomology and Zoology · Cited by 9,612
Barker, T. J., Bashmakov, I., Bernstein, L., Bogner, J. R., Bosch, P. C., Dave, R., Davidson, O., Fisher, B. S., Grubb, M. J., Gupta, S. K., et al. (2007) · Socio-Environmental Systems Modeling · Cited by 9,160
(2013) · Cited by 6,752
Global flood risk under climate change
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., Kim, H., & Kanae, S. (2013) · Nature Climate Change · doi:10.1038/nclimate1911 · Cited by 3,013
Increasing frequency of extreme El Niño events due to greenhouse warming.
Cai, W., Borlace, S., Lengaigne, M., van Rensch, P., Collins, M., Vecchi, G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., et al. (2014) · Nature Climate Change · doi:10.1038/nclimate2100 · Cited by 2,198
ENSO as an Integrating Concept in Earth Science
McPhaden, M. J., Zebiak, S. E., & Glantz, M. H. (2006) · Science · doi:10.1126/science.1132588 · Cited by 2,110
Statistical Field Significance and its Determination by Monte Carlo Techniques
Livezey, R. E., & Chen, W. Y. (1983) · Monthly Weather Review · doi:10.1175/1520-0493(1983)111<0046:sfsaid>2.0.co;2 · Cited by 1,153
Global exposure to river and coastal flooding: Long term trends and changes
Jongman, B., Ward, P. J., & Aerts, J. C. J. H. (2012) · Global Environmental Change · doi:10.1016/j.gloenvcha.2012.07.004 · Cited by 998
Self-citationVariability in the El Niño-Southern Oscillation Through a Glacial-Interglacial Cycle
Tudhope, A. W., Chilcott, C. P., McCulloch, M. T., Cook, E. R., Chappell, J., Ellam, R. M., Lea, D. W., Lough, J. M., & Shimmield, G. B. (2001) · Science · doi:10.1126/science.1057969 · Cited by 909
Cited by
Anthropogenic stresses on the world’s big rivers
Best, J. (2019) · Nature Geoscience · doi:10.1038/s41561-018-0262-x · Cited by 1,315
(2017) · doi:10.5194/gmd-10-4321-2017 · Cited by 685
Role of dams in reducing global flood exposure under climate change
Boulange, J., Hanasaki, N., Yamazaki, D., & Pokhrel, Y. (2021) · Nature Communications · doi:10.1038/s41467-020-20704-0 · Cited by 380
Metadata
- Authors
- Ward, P. J., Jongman, B., Kummu, M., Dettinger, M. D., Sperna Weiland, F. C., & Winsemius, H. C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-10-20
- Volume
- 111
- Issue
- 44
- Pages
- 15659-15664
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2130557413
- Cited by
- 293
- References
- 42
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- green
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: Strong influence of El Niño Southern Oscillation on flood risk around the world. https://app.cochat.ai/papers/10.1073/pnas.1409822111
- The paper
- Ward, P. J., Jongman, B., Kummu, M., Dettinger, M. D., Sperna Weiland, F. C., & Winsemius, H. C. (2014). Strong influence of El Niño Southern Oscillation on flood risk around the world. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1409822111
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.
