Articles | Volume 24, issue 1
https://doi.org/10.5194/nhess-24-225-2024
https://doi.org/10.5194/nhess-24-225-2024
Research article
 | 
30 Jan 2024
Research article |  | 30 Jan 2024

Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)

Luis Cea, Manuel Álvarez, and Jerónimo Puertas

Data sets

GCN250, global curve number datasets for hydrologic modeling and design Hadi Jaafar and Farah Ahmad https://doi.org/10.6084/m9.figshare.7756202.v1

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Short summary
Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
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