Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5947-2018
https://doi.org/10.5194/hess-22-5947-2018
Research article
 | 
22 Nov 2018
Research article |  | 22 Nov 2018

The effect of input data resolution and complexity on the uncertainty of hydrological predictions in a humid vegetated watershed

Linh Hoang, Rajith Mukundan, Karen E. B. Moore, Emmet M. Owens, and Tammo S. Steenhuis

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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: Reconsider after major revisions (further review by editor and referees) (01 Jul 2018) by Micha Werner
AR by Linh Hoang on behalf of the Authors (10 Aug 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 Aug 2018) by Micha Werner
RR by Anonymous Referee #2 (19 Sep 2018)
RR by Willem Vervoort (30 Sep 2018)
ED: Publish subject to minor revisions (review by editor) (09 Oct 2018) by Micha Werner
AR by Linh Hoang on behalf of the Authors (19 Oct 2018)  Author's response   Manuscript 
ED: Publish as is (04 Nov 2018) by Micha Werner
AR by Linh Hoang on behalf of the Authors (06 Nov 2018)
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Short summary
The paper analyzes the effect of two input data (DEMs and the combination of soil and land use data) with different resolution and complexity on the uncertainty of model outputs (the predictions of streamflow and saturated areas) and parameter uncertainty using SWAT-HS. Results showed that DEM resolution has significant effect on the spatial pattern of saturated areas and using complex soil and land use data may not necessarily improve model performance or reduce model uncertainty.