Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4593-2018
https://doi.org/10.5194/hess-22-4593-2018
Research article
 | 
30 Aug 2018
Research article |  | 30 Aug 2018

How good are hydrological models for gap-filling streamflow data?

Yongqiang Zhang and David Post

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (04 Aug 2018) by Louise Slater
AR by Yongqiang Zhang on behalf of the Authors (07 Aug 2018)  Author's response   Manuscript 
ED: Publish as is (15 Aug 2018) by Louise Slater
AR by Yongqiang Zhang on behalf of the Authors (16 Aug 2018)
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Short summary
It is a critical step to gap-fill streamflow data for most hydrological studies, such as streamflow trend, flood, and drought analysis and predictions. However, quantitative evaluation of the gap-filled data accuracy is not available. Here we conducted the first comprehensive study, and found that when the missing data rate is less than 10 %, the gap-filled streamflow data using hydrological models are reliable for annual streamflow and its trend analysis.