Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6257-2018
https://doi.org/10.5194/hess-22-6257-2018
Research article
 | 
06 Dec 2018
Research article |  | 06 Dec 2018

Evaluating post-processing approaches for monthly and seasonal streamflow forecasts

Fitsum Woldemeskel, David McInerney, Julien Lerat, Mark Thyer, Dmitri Kavetski, Daehyok Shin, Narendra Tuteja, and George Kuczera

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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) (12 Aug 2018) by Albrecht Weerts
AR by Fitsum Woldemeskel on behalf of the Authors (22 Sep 2018)  Author's response
ED: Referee Nomination & Report Request started (01 Oct 2018) by Albrecht Weerts
RR by Anonymous Referee #1 (29 Oct 2018)
ED: Publish subject to minor revisions (review by editor) (31 Oct 2018) by Albrecht Weerts
AR by Fitsum Woldemeskel on behalf of the Authors (07 Nov 2018)  Author's response    Manuscript
ED: Publish as is (09 Nov 2018) by Albrecht Weerts
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Short summary
This paper evaluates several schemes for post-processing monthly and seasonal streamflow forecasts using the Australian Bureau of Meteorology's streamflow forecasting system. Through evaluation across 300 catchments, the best-performing scheme has been identified, which is found to substantially improve important aspects of the forecast quality. This finding is significant because the improved forecasts help water managers and users of the service to make better-informed decisions.