Articles | Volume 21, issue 5
https://doi.org/10.5194/hess-21-2595-2017
https://doi.org/10.5194/hess-21-2595-2017
Research article
 | 
30 May 2017
Research article |  | 30 May 2017

Examining the impacts of precipitation isotope input (δ18Oppt) on distributed, tracer-aided hydrological modelling

Carly J. Delavau, Tricia Stadnyk, and Tegan Holmes

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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) (16 Jan 2017) by Christine Stumpp
AR by Tricia Stadnyk on behalf of the Authors (17 Feb 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (24 Feb 2017) by Christine Stumpp
RR by Anonymous Referee #1 (28 Feb 2017)
RR by Christian Birkel (09 Mar 2017)
ED: Publish subject to minor revisions (further review by Editor) (30 Mar 2017) by Christine Stumpp
AR by Tricia Stadnyk on behalf of the Authors (01 Apr 2017)  Author's response 
ED: Publish as is (11 Apr 2017) by Christine Stumpp
AR by Tricia Stadnyk on behalf of the Authors (12 Apr 2017)
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Short summary
Hydrological models have large amounts of uncertainty in streamflow predictions. Using extra data (e.g. isotope tracers) helps evaluate whether the model is getting the right answers for the right reasons. In a Canadian basin, three types of isotope in precipitation input are used to drive a tracer-aided model and assess the resulting model uncertainty. This study shows how a tracer-aided model can be used at the larger scale, and that the model can be of value in such regions.