The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Increased Flood Exposure Due to Climate Change and Population Growth in the United States
Open accessAbstract
Precipitation extremes are increasing globally due to anthropogenic climate change. However, there remains uncertainty regarding impacts upon flood occurrence and subsequent population exposure. Here, we quantify changes in population exposure to flood hazard across the contiguous United States. We combine simulations from a climate model large ensemble and a high‐resolution hydrodynamic flood model—allowing us to directly assess changes across a wide range of extreme precipitation magnitudes and accumulation timescales. We report a mean increase in the 100‐year precipitation event of ~20% (magnitude) and >200% (frequency) in a high warming scenario, yielding a ~30–127% increase in population exposure. We further find a nonlinear increase for the most intense precipitation events—suggesting accelerating societal impacts from historically rare or unprecedented precipitation events in the 21st century.
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
The representative concentration pathways: an overview
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0148-z · Cited by 7,741
Paris Agreement climate proposals need a boost to keep warming well below 2 °C
Rogelj, J., den Elzen, M., Höhne, N., Fransen, T., Fekete, H., Winkler, H., Schaeffer, R., Sha, F., Riahi, K., & Meinshausen, M. (2016) · Nature · doi:10.1038/nature18307 · Cited by 3,637 · cited 2×
“Plausible climate scenarios for the late 21st century likely fall in between the “medium” and “high” warming scenarios set forth here—and thus, it would be reasonable to assume that impacts upon extreme precipitation and potential flood hazard would fall somewhere in between these two scenarios (Fuss et al., 2014; Rog…”
BackgroundThe Changing Character of Precipitation
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003) · Bulletin of the American Meteorological Society · doi:10.1175/bams-84-9-1205 · Cited by 3,196
Kay, J. E., Deser, C., Phillips, A., Mai, A., Hannay, C., Strand, G., Arblaster, J. M., Bates, S. C., Danabasoglu, G., Edwards, J., et al. (2015) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-13-00255.1 · Cited by 2,493
New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
Lehner, B., & Grill, G. (2013) · Hydrological Processes · doi:10.1002/hyp.9740 · Cited by 2,193
Flood risk and climate change: global and regional perspectives
Kundzewicz, Z. W., Kanae, S., Seneviratne, S. I., Handmer, J., Nicholls, N., Peduzzi, P., Mechler, R., Bouwer, L. M., Arnell, N., Mach, K., et al. (2014) · Hydrological Sciences Journal · doi:10.1080/02626667.2013.857411 · Cited by 1,651
Bates, P. D., Horritt, M. S., & Fewtrell, T. J. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.03.027 · Cited by 1,273
Self-citationFuss, S., Canadell, J. G., Peters, G. P., Tavoni, M., Andrew, R. M., Ciais, P., Jackson, R. B., Jones, C. D., Kraxner, F., Nakicenovic, N., et al. (2014) · Nature Climate Change · doi:10.1038/nclimate2392 · Cited by 1,114
Changes in temperature and precipitation extremes in the CMIP5 ensemble
Kharin, V. V., Zwiers, F. W., Zhang, X., & Wehner, M. (2013) · Climatic Change · doi:10.1007/s10584-013-0705-8 · Cited by 1,082
Metadata
- Authors
- Swain, D. L., Wing, O. E. J., Bates, P. D., Done, J. M., Johnson, K. A., & Cameron, D. R.
- Venue
- Earth's Future
- Publisher
- American Geophysical Union (AGU)
- Published
- 2020-11
- Volume
- 8
- Issue
- 11
- ISSN
- 2328-4277 (ISSN-L)
- OpenAlex
- W3096804250
- Cited by
- 294
- References
- 57
- FWCI
- 12.00
- Type
- journal article
- Language
- en
- Open access
- gold
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: Increased Flood Exposure Due to Climate Change and Population Growth in the United States. https://app.cochat.ai/papers/10.1029/2020ef001778
- The paper
- Swain, D. L., Wing, O. E. J., Bates, P. D., Done, J. M., Johnson, K. A., & Cameron, D. R. (2020). Increased Flood Exposure Due to Climate Change and Population Growth in the United States. Earth's Future. https://doi.org/10.1029/2020ef001778
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.