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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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Citations
Cites
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
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Yu, G., Wright, D. B., & Li, Z. (2020) · Earth s Future · doi:10.1029/2020ef001613 · Cited by 39
Osberghaus, D. (2021) · Climate Risk Management · doi:10.1016/j.crm.2020.100268 · Cited by 39
Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States
Ghimire, G. R., Hansen, C. H., Gangrade, S., Kao, S., THORNTON, P. E., & Singh, D. (2023) · Water Resources Research · doi:10.1029/2022wr032312 · Cited by 38
Mapping Socioeconomic Exposure for Flood Risk Assessment in Italy
Amadio, M., Myšiak, J., & Marzi, S. (2018) · Risk Analysis · doi:10.1111/risa.13212 · Cited by 38
Sofia, G., Ragazzi, F., Giandon, P., Fontana, G. D., & Tarolli, P. (2018) · Advances in Water Resources · doi:10.1016/j.advwatres.2018.12.003 · Cited by 38
River flooding risk prevention: A cooperative game theory approach
Álvarez, X., Gómez-Rúa, M., & Vidal-Puga, J. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.109284 · Cited by 38
Niel, J. D., Uytven, E. V., & Willems, P. (2019) · Water Resources Management · doi:10.1007/s11269-019-02370-0 · Cited by 38
Will river floods ‘tip’ European road networks? A robustness assessment
van Ginkel, K., Koks, E., de Groen, F., Nguyen, V. D., & Alfieri, L. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103332 · Cited by 36
Self-citationResponse of Extreme Precipitation to Urbanization over the Netherlands
Golroudbary, V. R., Zeng, Y., Mannaerts, C. M., & Su, Z. (2019) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-18-0180.1 · Cited by 36
Regional Flood Risk Projections under Climate Change
Sharma, S., Gomez, M., Keller, K., Nicholas, R., & Mejia, A. (2021) · Journal of Hydrometeorology · doi:10.1175/jhm-d-20-0238.1 · Cited by 36
Ensemble Flood Risk Assessment in the Yangtze River Economic Belt under CMIP6 SSP-RCP Scenarios
Peng, L., & Li, Z. (2021) · Sustainability · doi:10.3390/su132112097 · Cited by 36
Global Modeling of Seasonal Mortality Rates From River Floods
Alfieri, L., Dottori, F., Salamon, P., Wu, H., & Feyen, L. (2020) · Earth s Future · doi:10.1029/2020ef001541 · Cited by 34
Self-citationDullo, T. T., Darkwah, G. K., Gangrade, S., Morales‐Hernández, M., Sharif, M. B., Kalyanapu, A., Kao, S., Ghafoor, S., & Ashfaq, M. (2021) · Natural hazards and earth system sciences · doi:10.5194/nhess-21-1739-2021 · Cited by 34
Biases in national and continental flood risk assessments by ignoring spatial dependence
Nguyen, V. D., Metin, A. D., Alfieri, L., Vorogushyn, S., & Merz, B. (2020) · Scientific Reports · doi:10.1038/s41598-020-76523-2 · Cited by 34
Self-citationIltis, C., Louâpre, P., Pecharová, K., Thiéry, D., Zito, S., Bois, B., & Moreau, J. (2019) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2019.103916 · Cited by 34
Bubeck, P., Osberghaus, D., & Thieken, A. H. (2023) · Environment and Behavior · doi:10.1177/00139165231176069 · Cited by 33
Hosseinzadehtalaei, P., Tabari, H., & Willems, P. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.137688 · Cited by 33
Floods, flood policies and changes in welfare and inequality: Evidence from Germany
Reaños, M. A. T. (2020) · Ecological Economics · doi:10.1016/j.ecolecon.2020.106879 · Cited by 32
Wang, Z., & Yang, Y. (2024) · Earth and Space Science · doi:10.1029/2023ea003456 · Cited by 31
DamaGIS: a multisource geodatabase for collection of flood-related damage data
Saint-Martin, C., Javelle, P., & Vinet, F. (2018) · Earth system science data · doi:10.5194/essd-10-1019-2018 · Cited by 31
Annex VI: Climatic Impact-driver and Extreme Indices
Change, I. P. O. C. (2023) · Cambridge University Press eBooks · doi:10.1017/9781009157896.020 · Cited by 31
Nguyen, H. D. (2022) · Transactions in GIS · doi:10.1111/tgis.12980 · Cited by 30
Attribution of flood impacts shows strong benefits of adaptation in Europe since 1950
Paprotny, D., Tilloy, A., Treu, S., Buch, A., Vousdoukas, M. I., Feyen, L., Kreibich, H., Merz, B., Frieler, K., & Mengel, M. (2025) · Science Advances · doi:10.1126/sciadv.adt7068 · Cited by 29
Self-citationProjection of Lithuanian river runoff, temperature and their extremes under climate change
Šarauskienė, D., Akstinas, V., Kriaučiūnienė, J., Jakimavičius, D., Bukantis, A., Kažys, J., Povilaitis, A., Ložys, L., Kesminas, V., Virbickas, T., et al. (2017) · Hydrology research · doi:10.2166/nh.2017.007 · Cited by 28
Yan, M., Wilson, A., Peel, J. L., Magzamen, S. L., Sun, Q., Li, T., & Anderson, G. B. (2020) · Epidemiology · doi:10.1097/ede.0000000000001182 · Cited by 28
Water Footprint of Biodiesel Production from Microalgae Cultivated in Photobioreactors
Feng, P., Zhu, L., Qin, X., & Li, Z. (2016) · Journal of Environmental Engineering · doi:10.1061/(asce)ee.1943-7870.0001150 · Cited by 28
Advancing bridge resilience: a review of monitoring technologies for flood-prone infrastructure
Buka-Vaivade, K., Nicoletti, V., & Gara, F. (2025) · Open Research Europe · doi:10.12688/openreseurope.19232.1 · Cited by 27
Ashish Manoj, J., Ciria, T. P., Chiogna, G., Salzmann, N., & Agarwal, A. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129445 · Cited by 27
Ikeda, S., & Managi, S. (2018) · Sustainability Science · doi:10.1007/s11625-018-0589-7 · Cited by 26
Zischg, A. P. (2018) · Systems · doi:10.3390/systems6020009 · Cited by 26
Simulating Future Runoff in a Complex Terrain Alpine Catchment with EURO-CORDEX Data
Smiatek, G., & Kunstmann, H. G. (2019) · Journal of Hydrometeorology · doi:10.1175/jhm-d-18-0214.1 · Cited by 25
Advancing SSP-aligned scenarios of shipping toward 2050
Kramel, D., Franz, S. M., Klenner, J., Muri, H., Münster, M., & Strømman, A. H. (2024) · Scientific Reports · doi:10.1038/s41598-024-58970-3 · Cited by 24
Co-development of East African regional water scenarios for 2050
Tramberend, S., Burtscher, R., Burek, P., Kahil, T., Fischer, G., Mochizuki, J., Greve, P., Kimwaga, R. J., Nyenje, P. M., Ondiek, R. A., et al. (2021) · One Earth · doi:10.1016/j.oneear.2021.02.012 · Cited by 24
Sun, H. X., Li, M., Jiang, H., Ruan, X., & Shou, W. (2022) · Remote Sensing · doi:10.3390/rs14143451 · Cited by 24
Silva, F. B. E., Forzieri, G., Herrera, M. A. M., Bianchi, A., Lavalle, C., & Feyen, L. (2019) · Scientific Data · doi:10.1038/s41597-019-0135-1 · Cited by 24
Self-citationDiakakis, M., Damigos, D., & Kallioras, A. (2020) · Sustainability · doi:10.3390/su12145585 · Cited by 23
Han, S., Bubeck, P., Thieken, A. H., & Kuhlicke, C. (2023) · Risk Analysis · doi:10.1111/risa.14118 · Cited by 24
Escalating rainstorm-induced flood risks in the Yellow River Basin, China
Hu, L., Zhang, Q., Singh, V. P., Wang, G., He, C., & Zhao, J. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad4402 · Cited by 23
Fluvial flood inundation and socio-economic impact model based on open data
Riedel, L., Röösli, T., Vogt, T., & Bresch, D. N. (2024) · Geoscientific model development · doi:10.5194/gmd-17-5291-2024 · Cited by 23
Xie, S., Ding, W., Ye, W., & Deng, Z. (2022) · Scientific Reports · doi:10.1038/s41598-022-17040-2 · Cited by 22
Pokhrel, I., Kalra, A., Rahaman, M. M., & Thakali, R. (2020) · Forecasting · doi:10.3390/forecast2030018 · Cited by 22
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Langhammer, J., & Bernsteinová, J. (2020) · Water · doi:10.3390/w12082279 · Cited by 21
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Liu, L., Gao, J., & Wu, S. (2022) · Natural hazards and earth system sciences · doi:10.5194/nhess-22-1577-2022 · Cited by 20
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Frame, B. (2020) · The Polar Journal · doi:10.1080/2154896x.2020.1757822 · Cited by 19
Feng, A., Gao, J., Wu, S., Liu, L., Li, Y., & Yue, X. (2018) · Geomatics Natural Hazards and Risk · doi:10.1080/19475705.2018.1447026 · Cited by 19
Keller, L., Zischg, A. P., Mosimann, M., Rößler, O., Weingartner, R., & Martius, O. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.07.206 · Cited by 19
Masiero, M., Bottaro, G., Righetti, C., Nikolaidis, Ν. P., Lilli, M. Α., & Pettenella, D. (2024) · Forests · doi:10.3390/f15050760 · Cited by 18
Liang, L., Chen, Y., Gong, A., & Sun, H. (2024) · Journal of Cultural Heritage · doi:10.1016/j.culher.2024.06.006 · Cited by 18
Identification of elements exposed to flood hazard in a section of Trotus River, Romania
Ţîncu, R., Zêzere, J. L., & Lazar, G. O. (2018) · Geomatics Natural Hazards and Risk · doi:10.1080/19475705.2018.1486891 · Cited by 18
Evaluation of sea level rise and associated responses in Hangzhou Bay from 1978 to 2017
Feng, J., Li, W.-S., Wang, H., Zhang, J., & Dong, J. (2018) · Advances in Climate Change Research · doi:10.1016/j.accre.2019.01.002 · Cited by 18
Data-driven flood hazard zonation of Italy
Marchesini, I., Salvati, P., Rossi, M., Donnini, M., Sterlacchini, S., & Guzzetti, F. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112986 · Cited by 18
Aureli, F., Mignosa, P., Prost, F., & Dazzi, S. (2021) · Hydrology · doi:10.3390/hydrology8040149 · Cited by 18
Tubi, A., Mordechai, L., Feitelson, E. I., Kay, P., & Tamir, D. E. (2022) · Global Environmental Change · doi:10.1016/j.gloenvcha.2022.102570 · Cited by 17
Rohat, G., Monaghan, A. J., Hayden, M. H., Ryan, S. J., Charrière, É., & Wilhelmi, O. V. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab9141 · Cited by 17
Identifying assets exposed to physical climate risk: A decision-support methodology
Bertrand, J., Parnaudeau, M., Brusset, X., & Courquin, V. (2024) · International Journal of Production Economics · doi:10.1016/j.ijpe.2024.109355 · Cited by 16
Gergeľová, M. B., Kuzevičová, Ž., Labant, S., Gašinec, J., Kuzevič, Š., Unucka, J., & Liptai, P. (2020) · Applied Sciences · doi:10.3390/app10030820 · Cited by 16
Sawaneh, I. A., & Luo, F. (2021) · Sustainability · doi:10.3390/su13042112 · Cited by 16
Samarasinghe, J. T., Wickramarachchi, C., Makumbura, R. K., Meddage, D. P. P., Gunathilake, M. B., Muttil, N., & Rathnayake, U. (2023) · Climate · doi:10.3390/cli11030048 · Cited by 16
Are European decision-makers preparing for high-end climate change?
Lourenço, T. C., Cruz, M. J., Dzebo, A., Carlsen, H., Dunn, M., Juhász-Horváth, L., & Pintér, L. (2018) · Regional Environmental Change · doi:10.1007/s10113-018-1362-2 · Cited by 16
Uytven, E. V., & Willems, P. (2018) · Journal of Hydrology · doi:10.1016/j.jhydrol.2018.01.018 · Cited by 15
Severe floods in Nemunas River Delta
Valiuškevičius, G., Stonevičius, E., Stankūnavičius, G., & Brastovickytė-Stankevič, J. (2019) · Baltica · doi:10.5200/baltica.2018.31.09 · Cited by 15
More Intense and Longer Torrential Rain and Flood Events During the Recent Past Decade in Eurasia
Wang, S., Zhang, L., Wang, G., She, D., Zhang, Q., Xia, J., & Zhang, Y. (2023) · Water Resources Research · doi:10.1029/2022wr033314 · Cited by 15
Supporting participative pre‐flood risk reduction in a UNESCO biosphere
O’Grady, M. J., Evans, B., Eigbogba, S., Muldoon, C., Campbell, A. G., Brewer, P., & O’Hare, G. M. P. (2018) · Journal of Flood Risk Management · doi:10.1111/jfr3.12520 · Cited by 15
Knittel, N., Tesselaar, M., Botzen, W. J. W., Bachner, G., & Tiggeloven, T. (2023) · Economic Systems Research · doi:10.1080/09535314.2023.2272211 · Cited by 14
Ghanem, M. A. A. N., & Zaifoglu, H. (2024) · Environmental Science and Pollution Research · doi:10.1007/s11356-024-33391-x · Cited by 13
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Automatic Calibration Module for an Urban Drainage System Model
Annus, I., Vassiljev, A., Kändler, N., & Kaur, K. (2021) · Water · doi:10.3390/w13101419 · Cited by 13
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Fischer, M., Pavlík, P., Vizina, A., Bernsteinová, J., Párajka, J., Anderson, M. C., Řehoř, J., Ivančicová, J., Štěpánek, P., Bálek, J., et al. (2023) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2023.101436 · Cited by 13
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Tafur, A., Argyroudis, S. A., Mitoulis, S.-A., & Padgett, J. E. (2025) · Communications Engineering · doi:10.1038/s44172-025-00493-4 · Cited by 12
Taniguchi, K., Kotone, K., & Shibuo, Y. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.128434 · Cited by 12
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Yang, Y., & Chang, W. (2024) · Sustainability · doi:10.3390/su16124960 · Cited by 12
Sadeghi-Pouya, A., Nouri, J., Mansouri, N., & Kia-Lashaki, A. (2017) · Journal of Hydrology and Hydromechanics · doi:10.1515/johh-2017-0007 · Cited by 12
Flood risk assessment under population growth and urban land use change in Matola, Mozambique
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Jiang, X., Yang, L., & Tatano, H. (2019) · Water · doi:10.3390/w11051031 · Cited by 12
Samantaray, S., Das, S. S., Sahoo, A., & Satapathy, D. P. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2021.11.561 · Cited by 11
Ma, W., Hibino, K., Yamamoto, K., Kachi, M., Oki, R., Yoshikawa, H., & Yoshimura, K. (2024) · Earth and Space Science · doi:10.1029/2023ea003228 · Cited by 11
Shrestha, B. B. (2019) · International Journal of Environment · doi:10.3126/ije.v8i2.25508 · Cited by 11
冯爱青, Aiqing, F., 高江波, 吴绍洪, 刘燕华, 何霄嘉, Jiangbo, G., Wu, S., Yanhua, L., & Xiaojia, H. (2016) · 地理科学进展 · doi:10.18306/dlkxjz.2016.11.011 · Cited by 10
River Flood Modeling and Remote Sensing Across Scales: Lessons from Brazil
Fleischmann, A. S., Brêda, J. P. L. F., Rudorff, C. M., de Paiva, R. C. D., Collischonn, W., Papa, F., & Ravanello, M. M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819412-6.00004-3 · Cited by 10
Laporte-Fauret, Q., Wengrove, M. E., Ruggiero, P., Hacker, S. D., Cohn, N. T., Zarnetske, P. L., & Piercy, C. D. (2024) · Journal of Geophysical Research Earth Surface · doi:10.1029/2024jf007867 · Cited by 9
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Chen, J., Sayama, T., YAMADA, M., Tanaka, T., & Sugawara, Y. (2025) · Earth s Future · doi:10.1029/2024ef005884 · Cited by 9
Sairam, N., & de Ruiter, M. (2026) · Natural hazards and earth system sciences · doi:10.5194/nhess-26-119-2026 · Cited by 9
Santillan, J. R., Amora, A. M., Makinano-Santillan, M., Marqueso, J. T., Cutamora, L. C., Serviano, J. L., & Makinano, R. M. (2016) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xli-b8-1271-2016 · Cited by 9
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Rocha, M. L. D., Sá, F., de Campos, M. S., Grassi, M. T., Combi, T., & Machado, E. D. C. (2017) · Ocean and Coastal Research · doi:10.1590/s1679-87592017127706501 · Cited by 9
Shrestha, B. B., Rasmy, M., Ushiyama, T., Acierto, R. A., Kawamoto, T., Fujikane, M., SHINYA, T., & Kubota, K. (2024) · Journal of Flood Risk Management · doi:10.1111/jfr3.13052 · Cited by 8
Ricard, S., Lucas‐Picher, P., Thiboult, A., & Anctil, F. (2023) · Hydrology and earth system sciences · doi:10.5194/hess-27-2375-2023 · Cited by 8
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Jane, R., Simmonds, D. J., Gouldby, B. P., Simm, J. D., Valle, L. D., & Raby, A. C. (2018) · Risk Analysis · doi:10.1111/risa.13007 · Cited by 8
Valle, S. L., Castillo, J. L. E., Alberich, M. V. E., Albores, M. Á. G., Tavares, J. P., & Martínez, J. M. E. (2021) · Environmental Earth Sciences · doi:10.1007/s12665-021-09662-y · Cited by 8
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Wang, H., & Zhang, X. (2018) · Water Resources Management · doi:10.1007/s11269-017-1894-0 · Cited by 8
Socio-economic Impact of Natural Disasters in the Republic of Serbia
Stanković, J. Z., Tomić, Z., & Stanković, J. (2020) · Economic Analysis · doi:10.28934/ea.20.53.2.pp20-38 · Cited by 8
Probabilistic assessment of human instability in urban areas exposed to flood events
Bernardini, G., Lagona, F., Mingione, M., & Postacchini, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-25267-y · Cited by 7
Exploring the use of seasonal forecasts to adapt flood insurance premiums
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Gąska, J. (2022) · Environmental Hazards · doi:10.1080/17477891.2022.2076646 · Cited by 7
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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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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.
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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.