Articles | Volume 22, issue 9
Research article
06 Sep 2018
Research article |  | 06 Sep 2018

The potential of global reanalysis datasets in identifying flood events in Southern Africa

Gaby J. Gründemann, Micha Werner, and Ted I. E. Veldkamp


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (06 Aug 2018) by Jean-Christophe Calvet
AR by Gaby Gründemann on behalf of the Authors (15 Aug 2018)  Author's response    Manuscript
ED: Publish as is (20 Aug 2018) by Jean-Christophe Calvet
Short summary
Flooding in vulnerable and data-sparse regions such as the Limpopo basin in Southern Africa is a key concern. Data available to local flood managers are often limited, inconsistent or asymmetrically distributed. We demonstrate that freely available global datasets are well suited to provide essential information. Despite the poor performance of simulated discharges, these datasets hold potential in identifying damaging flood events, particularly for higher-resolution datasets and larger basins.