Articles | Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 723–739, 2019
https://doi.org/10.5194/hess-23-723-2019
Hydrol. Earth Syst. Sci., 23, 723–739, 2019
https://doi.org/10.5194/hess-23-723-2019

Research article 07 Feb 2019

Research article | 07 Feb 2019

Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments

Trine J. Hegdahl et al.

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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: Publish subject to minor revisions (further review by editor) (23 Dec 2018) by Jan Seibert
AR by Trine Jahr Hegdahl on behalf of the Authors (02 Jan 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Jan 2019) by Jan Seibert
AR by Trine Jahr Hegdahl on behalf of the Authors (11 Jan 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (16 Jan 2019) by Jan Seibert
AR by Trine Jahr Hegdahl on behalf of the Authors (24 Jan 2019)  Author's response    Manuscript
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Short summary
Flood forecasting relies on high-quality meteorological data. This study shows how improved temperature forecasts improve streamflow forecasts in most cases, with the degree of improvement depending on season and region. To improve temperature forecasts further, catchment-specific methods should be developed to account for these seasonal and regional differences. In short, for climates with a seasonal snow cover, higher-quality temperature forecasts clearly improve flood forecasts.