Articles | Volume 20, issue 12
Nat. Hazards Earth Syst. Sci., 20, 3245–3260, 2020
https://doi.org/10.5194/nhess-20-3245-2020
Nat. Hazards Earth Syst. Sci., 20, 3245–3260, 2020
https://doi.org/10.5194/nhess-20-3245-2020

Research article 01 Dec 2020

Research article | 01 Dec 2020

Comparison of estimates of global flood models for flood hazard and exposed gross domestic product: a China case study

Jerom P. M. Aerts et al.

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Cited articles

Aerts, J.: Flood hazard map comparison code, Zenodo, https://doi.org/10.5281/zenodo.4117688, 2020. 
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., and Feyen, L.: Global projections of river flood risk in a warmer world, Earth's Future 5, 171–182, https://doi.org/10.1002/2016EF000485, 2017 
Apel, H., Martínez Trepat, O., Hung, N. N., Chinh, D. T., Merz, B., and Dung, N. V.: Combined fluvial and pluvial urban flood hazard analysis: concept development and application to Can Tho city, Mekong Delta, Vietnam, Nat. Hazards Earth Syst. Sci., 16, 941–961, https://doi.org/10.5194/nhess-16-941-2016, 2016. 
Arnell, N. W. and Gosling, S. N.: The impacts of climate change on river flood risk at the global scale, Climatic Change, 134, 387–401, https://doi.org/10.1007/s10584-014-1084-5, 2016. 
Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H., Dee, D., Dutra, E., Muñoz-Sabater, J., Pappenberger, F., de Rosnay, P., Stockdale, T., and Vitart, F.: ERA-Interim/Land: a global land surface reanalysis data set, Hydrol. Earth Syst. Sci., 19, 389–407, https://doi.org/10.5194/hess-19-389-2015, 2015. 
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We compare and analyse flood hazard maps from eight global flood models that represent the current state of the global flood modelling community. We apply our comparison to China as a case study, and for the first time, we include industry models, pluvial flooding, and flood protection standards. We find substantial variability between the flood hazard maps in the modelled inundated area and exposed gross domestic product (GDP) across multiple return periods and in expected annual exposed GDP.
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