Articles | Volume 26, issue 18
https://doi.org/10.5194/hess-26-4801-2022
https://doi.org/10.5194/hess-26-4801-2022
Research article
 | 
29 Sep 2022
Research article |  | 29 Sep 2022

Development of a national 7-day ensemble streamflow forecasting service for Australia

Hapu Arachchige Prasantha Hapuarachchi, Mohammed Abdul Bari, Aynul Kabir, Mohammad Mahadi Hasan, Fitsum Markos Woldemeskel, Nilantha Gamage, Patrick Daniel Sunter, Xiaoyong Sophie Zhang, David Ewen Robertson, James Clement Bennett, and Paul Martinus Feikema

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-72', Anonymous Referee #1, 29 Mar 2022
    • AC1: 'Reply on RC1', Mohammed Bari, 25 May 2022
  • RC2: 'Comment on hess-2022-72', Anonymous Referee #2, 20 Apr 2022
    • AC2: 'Reply on RC2', Mohammed Bari, 25 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (20 Jun 2022) by Yi He
AR by Mohammed Bari on behalf of the Authors (30 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Aug 2022) by Yi He
AR by Mohammed Bari on behalf of the Authors (10 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (19 Aug 2022) by Yi He
AR by Mohammed Bari on behalf of the Authors (24 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Aug 2022) by Yi He
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Short summary
Methodology for developing an operational 7-day ensemble streamflow forecasting service for Australia is presented. The methodology is tested for 100 catchments to learn the characteristics of different NWP rainfall forecasts, the effect of post-processing, and the optimal ensemble size and bootstrapping parameters. Forecasts are generated using NWP rainfall products post-processed by the CHyPP model, the GR4H hydrologic model, and the ERRIS streamflow post-processor inbuilt in the SWIFT package