Articles | Volume 21, issue 9
Nat. Hazards Earth Syst. Sci., 21, 2829–2847, 2021
Nat. Hazards Earth Syst. Sci., 21, 2829–2847, 2021

Research article 16 Sep 2021

Research article | 16 Sep 2021

Global flood exposure from different sized rivers

Mark V. Bernhofen et al.

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Cited articles

Aerts, J. P. M., Uhlemann-Elmer, S., Eilander, D., and Ward, P. J.: Comparison of estimates of global flood models for flood hazard and exposed gross domestic product: a China case study, Nat. Hazards Earth Syst. Sci., 20, 3245–3260,, 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 Future, 5, 171–182,, 2017. 
Annis, A., Nardi, F., Morrison, R. R., and Castelli, F.: Investigating hydrogeomorphic floodplain mapping performance with varying DTM resolution and stream order, Hydrolog. Sci. J., 64, 525–538,, 2019. 
Bakrania, S.: Urbanisation and urban growth in Nepal, GSDRC University of Birmingham, Birmingham, UK, 2015. 
Bernhofen, M. V., Whyman, C., Trigg, M. A., Sleigh, P. A., Smith, A., Sampson, C., Yamazaki, D., Ward, P., Rudari, R., Pappenberger, F., Dottori, F., Salamon, P., and Winsemius, H. C.: Analysis inputs for validation of six global flood models against observed flood events in Nigeria and Mozambique, Research Data Leeds Repository [data set],, 2018a. 
Short summary
The use of different global datasets to calculate flood exposure can lead to differences in global flood exposure estimates. In this study, we use three global population datasets and a simple measure of a river’s flood susceptibility (based on the terrain alone) to explore how the choice of population data and the size of river represented in global flood models affect global and national flood exposure estimates.
Final-revised paper