Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 2
Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-461-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-461-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 2
Research article
 | Highlight paper
 | 
16 Feb 2022
Research article | Highlight paper |  | 16 Feb 2022

Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns

Agathe Bucherie, Micha Werner, Marc van den Homberg, and Simon Tembo

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Alam, A., Ahmed, B., and Sammonds, P.: Flash flood susceptibility assessment using the parameters of drainage basin morphometry in SE Bangladesh, Quatern. Int., 575–576, 295–307, https://doi.org/10.1016/j.quaint.2020.04.047, 2020. a
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Alfieri, L., Berenguer, M., Knechtl, V., Liechti, K., Sempere-Torres, D., and Zappa, M.: Flash Flood Forecasting Based on Rainfall Thresholds, in: Handbook of Hydrometeorological Ensemble Forecasting, Springer, 1–38, https://doi.org/10.1007/978-3-642-40457-3_49-1, 2015. a
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., 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. a
Alfieri, L., Cohen, S., Galantowicz, J., Schumann, G. J. P., Trigg, M. A., Zsoter, E., Prudhomme, C., Kruczkiewicz, A., Coughlan de Perez, E., Flamig, Z., Rudari, R., Wu, H., Adler, R. F., Brakenridge, R. G., Kettner, A., Weerts, A., Matgen, P., Islam, S. A. K. M., de Groeve, T., and Salamon, P.: A global network for operational flood risk reduction, Environ. Sci. Policy, 84, 149–158, https://doi.org/10.1016/j.envsci.2018.03.014, 2018. a, b
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Local communities in northern Malawi have well-developed knowledge of the conditions leading to flash floods, spatially and temporally. Scientific analysis of catchment geomorphology and global reanalysis datasets corroborates this local knowledge, underlining the potential of these large-scale scientific datasets. Combining local knowledge with contemporary scientific datasets provides a common understanding of flash flood events, contributing to a more people-centred warning to flash floods.
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