Articles | Volume 24, issue 6
Research article
08 Jun 2020
Research article |  | 08 Jun 2020

Impact of downscaled rainfall biases on projected runoff changes

Stephen P. Charles, Francis H. S. Chiew, Nicholas J. Potter, Hongxing Zheng, Guobin Fu, and Lu Zhang


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) (20 Dec 2019) by Nadav Peleg
AR by Anna Wenzel on behalf of the Authors (20 Mar 2020)  Author's response
ED: Referee Nomination & Report Request started (21 Mar 2020) by Nadav Peleg
RR by Eylon Eylon Shamir (04 Apr 2020)
ED: Publish subject to technical corrections (06 Apr 2020) by Nadav Peleg
AR by Stephen Charles on behalf of the Authors (24 Apr 2020)  Author's response    Manuscript
Short summary
This paper assesses the suitability of bias-corrected (BC) WRF daily rainfall across the state of Victoria, Australia, for input to hydrological models to determine plausible climate change impacts on runoff. It compares rainfall and runoff changes using BC WRF with those obtained from empirical scaling (ES) using raw WRF changes. It concludes that BC-derived changes are more plausible than ES-derived changes but that remaining biases in BC WRF daily data add uncertainty to runoff projections.