Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-5143-2017
https://doi.org/10.5194/hess-21-5143-2017
Research article
 | 
12 Oct 2017
Research article |  | 12 Oct 2017

Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods

Cherry May R. Mateo, Dai Yamazaki, Hyungjun Kim, Adisorn Champathong, Jai Vaze, and Taikan Oki

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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) (15 May 2017) by Ralf Merz
AR by Cherry May Mateo on behalf of the Authors (23 May 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by Editor) (27 Jul 2017) by Alberto Guadagnini
AR by Cherry May Mateo on behalf of the Authors (06 Aug 2017)  Author's response    Manuscript
ED: Publish as is (12 Aug 2017) by Alberto Guadagnini
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Short summary
Providing large-scale (regional or global) simulation of floods at fine spatial resolution is difficult due to computational constraints but is necessary to provide consistent estimates of hazards, especially in data-scarce regions. We assessed the capability of an advanced global-scale river model to simulate an extreme flood at fine resolution. We found that when multiple flow connections in rivers are represented, the model can provide reliable fine-resolution predictions of flood inundation.