Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5243-2018
https://doi.org/10.5194/hess-22-5243-2018
Research article
 | 
15 Oct 2018
Research article |  | 15 Oct 2018

Value of uncertain streamflow observations for hydrological modelling

Simon Etter, Barbara Strobl, Jan Seibert, and H. J. Ilja van Meerveld

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (10 Sep 2018) by Nadav Peleg
AR by Simon Etter on behalf of the Authors (20 Sep 2018)  Author's response   Manuscript 
ED: Publish as is (24 Sep 2018) by Nadav Peleg
AR by Simon Etter on behalf of the Authors (24 Sep 2018)  Manuscript 
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Short summary
To evaluate the potential value of streamflow estimates for hydrological model calibration, we created synthetic streamflow datasets in various temporal resolutions based on the errors in streamflow estimates of 136 citizens. Our results show that streamflow estimates of untrained citizens are too inaccurate to be useful for model calibration. If, however, the errors can be reduced by training or filtering, the estimates become useful if also a sufficient number of estimates are available.