Articles | Volume 23, issue 6
https://doi.org/10.5194/hess-23-2647-2019
https://doi.org/10.5194/hess-23-2647-2019
Research article
 | 
19 Jun 2019
Research article |  | 19 Jun 2019

Sensitivity of hydrological models to temporal and spatial resolutions of rainfall data

Yingchun Huang, András Bárdossy, and Ke Zhang

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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) (28 Jan 2019) by Bettina Schaefli
AR by Yingchun Huang on behalf of the Authors (18 Mar 2019)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by editor and referees) (20 Mar 2019) by Bettina Schaefli
AR by Yingchun Huang on behalf of the Authors (21 Mar 2019)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by editor and referees) (22 Mar 2019) by Bettina Schaefli
ED: Referee Nomination & Report Request started (22 Mar 2019) by Bettina Schaefli
RR by Anonymous Referee #1 (18 Apr 2019)
RR by Anonymous Referee #2 (02 May 2019)
ED: Publish subject to minor revisions (review by editor) (14 May 2019) by Bettina Schaefli
AR by Yingchun Huang on behalf of the Authors (24 May 2019)  Author's response   Manuscript 
ED: Publish as is (05 Jun 2019) by Bettina Schaefli
AR by Yingchun Huang on behalf of the Authors (06 Jun 2019)  Manuscript 
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Short summary
This study investigates whether higher temporal and spatial resolution of rainfall can lead to improved model performance. Four rainfall datasets were used to drive lumped and distributed HBV models to simulate daily discharges. Results show that a higher temporal resolution of rainfall improves the model performance if the station density is high. A combination of observed high temporal resolution observations with disaggregated daily rainfall leads to further improvement of the tested models.