Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-233-2023
https://doi.org/10.5194/gmd-16-233-2023
Development and technical paper
 | 
10 Jan 2023
Development and technical paper |  | 10 Jan 2023

Operational water forecast ability of the HRRR-iSnobal combination: an evaluation to adapt into production environments

Joachim Meyer, John Horel, Patrick Kormos, Andrew Hedrick, Ernesto Trujillo, and S. McKenzie Skiles

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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 gmd-2022-129', Bertrand Cluzet, 30 Jul 2022
    • AC1: 'Reply on RC1', Joachim Meyer, 05 Oct 2022
  • RC2: 'Comment on gmd-2022-129', Anonymous Referee #2, 03 Aug 2022
    • AC2: 'Reply on RC2', Joachim Meyer, 05 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Joachim Meyer on behalf of the Authors (05 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (06 Nov 2022) by Fabien Maussion
AR by Joachim Meyer on behalf of the Authors (10 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (29 Nov 2022) by Fabien Maussion
AR by Joachim Meyer on behalf of the Authors (30 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (12 Dec 2022) by Fabien Maussion
AR by Joachim Meyer on behalf of the Authors (17 Dec 2022)  Manuscript 
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Short summary
Freshwater resupply from seasonal snow in the mountains is changing. Current water prediction methods from snow rely on historical data excluding the change and can lead to errors. This work presented and evaluated an alternative snow-physics-based approach. The results in a test watershed were promising, and future improvements were identified. Adaptation to current forecast environments would improve resilience to the seasonal snow changes and helps ensure the accuracy of resupply forecasts.