The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Ensemble flood risk assessment in Europe under high end climate scenarios
Open accessAbstract
At the current rate of global warming, the target of limiting it within 2 degrees by the end of the century seems more and more unrealistic. Policymakers, businesses and organizations leading international negotiations urge the scientific community to provide realistic and accurate assessments of the possible consequences of so called “high end” climate scenarios. This study illustrates a novel procedure to assess the future flood risk in Europe under high levels of warming. It combines ensemble projections of extreme streamflow for the current century based on EURO-CORDEX RCP 8.5 climate scenarios with recent advances in European flood hazard mapping. Further novelties include a threshold-based evaluation of extreme event magnitude and frequency, an alternative method to removing bias in climate projections, the latest pan-European exposure maps, and an improved flood vulnerability estimation. Estimates of population affected and direct flood damages indicate that by the end of the century the socio-economic impact of river floods in Europe is projected to increase by an average 220% due to climate change only. When coherent socio-economic development pathways are included in the assessment, central estimates of population annually affected by floods range between 500,000 and 640,000 in 2050, and between 540,000 and 950,000 in 2080, as compared to 216,000 in the current climate. A larger range is foreseen in the annual flood damage, currently of 5.3 B€, which is projected to rise at 20–40 B€ in 2050 and 30–100 B€ in 2080, depending on the future economic growth.
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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
EURO-CORDEX: new high-resolution climate change projections for European impact research
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., et al. (2014) · Regional Environmental Change · doi:10.1007/s10113-013-0499-2 · Cited by 2,730
A new scenario framework for climate change research: the concept of shared socioeconomic pathways
O’Neill, B. C., Kriegler, E., Riahi, K., Ebi, K. L., Hallegatte, S., Carter, T. R., Mathur, R., & van Vuuren, D. P. (2014) · Climatic Change · doi:10.1007/s10584-013-0905-2 · Cited by 2,716
An overview of the North Atlantic Oscillation
Hurrell, J. W., Kushnir, Y., Ottersen, G., & Visbeck, M. (2003) · Geophysical Monograph Series · doi:10.1029/134gm01 · Cited by 1,955
A simple raster-based model for flood inundation simulation
Bates, P. D., & De Roo, A. P. J. (2000) · Journal of Hydrology · doi:10.1016/s0022-1694(00)00278-x · Cited by 1,460
The impacts of climate change on river flood risk at the global scale
Arnell, N. W., & Gosling, S. N. (2016) · Climatic Change · doi:10.1007/s10584-014-1084-5 · Cited by 1,121
HESS Opinions "Should we apply bias correction to global and regional climate model data?"
Ehret, U., Zehe, E., Wulfmeyer, V., Warrach-Sagi, K., & Liebert, J. (2012) · Hydrology and Earth System Sciences · doi:10.5194/hess-16-3391-2012 · Cited by 680
Themeßl, M. J., Gobiet, A., & Heinrich, G. (2012) · Climatic Change · doi:10.1007/s10584-011-0224-4 · Cited by 661
LISFLOOD: a GIS‐based distributed model for river basin scale water balance and flood simulation
Van Der Knijff, J. M., Younis, J., & De Roo, A. P. J. (2010) · International Journal of Geographical Information Science · doi:10.1080/13658810802549154 · Cited by 637
A high-resolution global flood hazard model
Sampson, C. C., Smith, A. M., Bates, P. D., Neal, J. C., Alfieri, L., & Freer, J. E. (2015) · Water Resources Research · doi:10.1002/2015wr016954 · Cited by 625
Self-citation
Research works printed but not linked: 1
- Evans, 2000, Risk assessment and programme prioritisation: the Hungary flood study, MAFF Flood and Coastal Defence Conference
Cited by
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.009 · Cited by 6,607
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241
Global projections of river flood risk in a warmer world
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., & Feyen, L. (2017) · Earth's Future · doi:10.1002/2016ef000485 · Cited by 899
Self-citationA global multi-hazard risk analysis of road and railway infrastructure assets
Koks, E. E., Rozenberg, J., Zorn, C., Tariverdi, M., Vousdoukas, M., Fraser, S. A., Hall, J. W., & Hallegatte, S. (2019) · Nature Communications · doi:10.1038/s41467-019-10442-3 · Cited by 603
Global forecasts of shipping traffic and biological invasions to 2050
Sardain, A., Sardain, E., & Leung, B. (2019) · Nature Sustainability · doi:10.1038/s41893-019-0245-y · Cited by 466
Metadata
- Authors
- Alfieri, L., Feyen, L., Dottori, F., & Bianchi, A.
- Affiliations
- European Commission (BE)
- Corresponding author
- Alfieri, Lorenzo
- Venue
- Global Environmental Change
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 35
- Pages
- 199-212
- ISSN
- 0959-3780 (ISSN-L)
- OpenAlex
- W1689307259
- Cited by
- 346
- References
- 49
- Citations by year
- 2026: 20 · 2025: 23 · 2024: 39 · 2023: 46 · 2022: 35 · 2021: 47 · 2020: 35 · 2019: 35 · 2018: 28 · 2017: 14 · 2016: 22
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- Locations
- Global Environmental Change (publishedVersion, cc-by-nc-nd)
- Joint Research Centre (European Commission) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, cc-by-nc-nd)
- Funders
- European Union Seventh Framework Programme
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- flood risk assessment, streamflow extremes, EURO-CORDEX, flood hazard mapping, flood vulnerability, flood exposure, flood damage, vulnerable populations, climate change impacts, Europe
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- Alfieri, L., Feyen, L., Dottori, F., & Bianchi, A. (2015). Ensemble flood risk assessment in Europe under high end climate scenarios. Global Environmental Change. https://doi.org/10.1016/j.gloenvcha.2015.09.004
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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