The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates
Open accessAbstract
This study reports a new and significantly enhanced analysis of US flood hazard at 30 m spatial resolution. Specific improvements include updated hydrography data, new methods to determine channel depth, more rigorous flood frequency analysis, output downscaling to property tract level, and inclusion of the impact of local interventions in the flooding system. For the first time, we consider pluvial, fluvial, and coastal flood hazards within the same framework and provide projections for both current (rather than historic average) conditions and for future time periods centered on 2035 and 2050 under the RCP4.5 emissions pathway. Validation against high‐quality local models and the entire catalog of FEMA 1% annual probability flood maps yielded Critical Success Index values in the range 0.69–0.82. Significant improvements over a previous pluvial/fluvial model version are shown for high‐frequency events and coastal zones, along with minor improvements in areas where model performance was already good. The result is the first comprehensive and consistent national‐scale analysis of flood hazard for the conterminous US for both current and future conditions. Even though we consider a stabilization emissions scenario and a near‐future time horizon, we project clear patterns of changing flood hazard (3 σ changes in 100 years inundated area of −3.8 to +16% at 1° scale), that are significant when considered as a proportion of the land area where human use is possible or in terms of the currently protected land area where the standard of flood defense protection may become compromised by this time.
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Cites
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
Climate Change Impacts in the United States: The Third National Climate Assessment
(2014) · doi:10.7930/j0z31wj2 · Cited by 2,414
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
Heavier summer downpours with climate change revealed by weather forecast resolution model
Kendon, E. J., Roberts, N. M., Fowler, H. J., Roberts, M. J., Chan, S. C., & Senior, C. A. (2014) · Nature Climate Change · doi:10.1038/nclimate2258 · Cited by 761
Cited by
Inequitable patterns of US flood risk in the Anthropocene
Wing, O. E. J., Lehman, W., Bates, P. D., Sampson, C. C., Quinn, N., Smith, A. M., Neal, J. C., Porter, J. R., & Kousky, C. (2022) · Nature Climate Change · doi:10.1038/s41558-021-01265-6 · Cited by 482
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Metadata
- Authors
- Bates, P. D., Quinn, N., Sampson, C., Smith, A., Wing, O., Sosa, J., Savage, J., Olcese, G., Neal, J., Schumann, G., Giustarini, L., Coxon, G., Porter, J. R., Amodeo, M. F., Chu, Z., Lewis‐Gruss, S., Freeman, N. B., Houser, T., Delgado, M., Hamidi, A., Bolliger, I., E. McCusker, K., Emanuel, K., Ferreira, C. M., Khalid, A., Haigh, I. D., Couasnon, A., E. Kopp, R., Hsiang, S., & Krajewski, W. F.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2021-02
- Volume
- 57
- Issue
- 2
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W3110648948
- Cited by
- 436
- References
- 5
- FWCI
- 19.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Bates, P. D., Quinn, N., Sampson, C., Smith, A., Wing, O., Sosa, J., Savage, J., Olcese, G., Neal, J., Schumann, G., Giustarini, L., Coxon, G., Porter, J. R., Amodeo, M. F., Chu, Z., Lewis‐Gruss, S., Freeman, N. B., Houser, T., Delgado, M., . . . Krajewski, W. F. (2021). Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates. Water Resources Research. https://doi.org/10.1029/2020wr028673
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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.