The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Global drivers of future river flood risk
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Citations
Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Future flood losses in major coastal cities
Hallegatte, S., Green, C., Nicholls, R. J., & Corfee-Morlot, J. (2013) · Nature Climate Change · doi:10.1038/nclimate1979 · Cited by 2,503
A trend-preserving bias correction – the ISI-MIP approach
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013) · Earth System Dynamics · doi:10.5194/esd-4-219-2013 · Cited by 1,238 · cited 1×
“Our model framework, described in Supplementary Sections 1 and 2, estimates current and future annual averaged urban flood damage from large-scale river flooding (rivers with basin sizes of the order of about 10,000 km 2 and larger) based on several return period conditions.”
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
Climate Extremes and Compound Hazards in a Warming World
AghaKouchak, A., Chiang, F., Huning, L. S., Love, C. A., Mallakpour, I., Mazdiyasni, O., Moftakhari, H., Papalexiou, S. M., Ragno, E., & Sadegh, M. (2020) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev-earth-071719-055228 · Cited by 1,103
Changing climate shifts timing of European floods
Blöschl, G., Hall, J., Parajka, J., Perdigão, R. A. P., Merz, B., Arheimer, B., Aronica, G. T., Bilibashi, A., Bonacci, O., Borga, M., et al. (2017) · Science · doi:10.1126/science.aan2506 · Cited by 1,020
Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6
Mishra, V., Bhatia, U., & Tiwari, A. D. (2020) · Scientific Data · doi:10.1038/s41597-020-00681-1 · Cited by 472
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
- Winsemius, H. C., Aerts, J. C. J. H., van Beek, L. P. H., Bierkens, M. F. P., Bouwman, A., Jongman, B., Kwadijk, J. C. J., Ligtvoet, W., Lucas, P. L., van Vuuren, D. P., & Ward, P. J.
- Venue
- Nature Climate Change
- Published
- 2015-12-21
- Volume
- 6
- Issue
- 4
- Pages
- 381-385
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2335114787
- Cited by
- 1,151
- References
- 4
- FWCI
- 33.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Global drivers of future river flood risk. https://app.cochat.ai/papers/10.1038/nclimate2893
- The paper
- Winsemius, H. C., Aerts, J. C. J. H., van Beek, L. P. H., Bierkens, M. F. P., Bouwman, A., Jongman, B., Kwadijk, J. C. J., Ligtvoet, W., Lucas, P. L., van Vuuren, D. P., & Ward, P. J. (2016). Global drivers of future river flood risk. Nature Climate Change. https://doi.org/10.1038/nclimate2893
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.
