Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-271-2018
https://doi.org/10.5194/nhess-18-271-2018
Research article
 | 
19 Jan 2018
Research article |  | 19 Jan 2018

The influence of antecedent conditions on flood risk in sub-Saharan Africa

Konstantinos Bischiniotis, Bart van den Hurk, Brenden Jongman, Erin Coughlan de Perez, Ted Veldkamp, Hans de Moel, and Jeroen Aerts

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Cited articles

Abramopoulos, F., Rosenzweig, C., and Choudhury, B.: Improved ground hydrology calculations for global climate models (GCMs) – soil water movement and evapotranspiration, J. Climate, 1, 921–941, https://doi.org/10.1175/1520-0442(1988)001<0921:IGHCFG>2.0.CO;2, 1988.
Aerts, J. C. J. H., Botzen, W. J. W., Emanuel, K., Lin, N., and De Moel, H.: Evaluating flood resilience strategies for coastal megacities, Science, 344, 1–3, https://doi.org/10.1126/science.1248222, 2014.
Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., and Thielen, J.: Operational early warning systems for water-related hazards in Europe, Environ. Sci. Policy, 21, 35–49, https://doi.org/10.1016/j.envsci.2012.01.008, 2012.
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.
Berthet, L., Andréassian, V., Perrin, C., and Javelle, P.: How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments, Hydrol. Earth Syst. Sci., 13, 819–831, https://doi.org/10.5194/hess-13-819-2009, 2009.
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Short summary
Preparedness activities and flood forecasting have received increasing attention and have led towards new science-based early warning systems. Understanding the flood triggering mechanisms will result in increasing warning lead times, providing sufficient time for early action. Findings of this study indicate that the consideration of short- and long-term antecedent conditions can be used by humanitarian organizations and decision makers for improved flood risk management.
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