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Volume 12, issue 6 | Copyright
The Cryosphere, 12, 2123-2145, 2018
https://doi.org/10.5194/tc-12-2123-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 21 Jun 2018

Research article | 21 Jun 2018

Forcing the SURFEX/Crocus snow model with combined hourly meteorological forecasts and gridded observations in southern Norway

Hanneke Luijting 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
AR by Hanneke Luijting on behalf of the Authors (25 Feb 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Mar 2018) by Ross Brown
RR by Anonymous Referee #2 (22 Mar 2018)
ED: Reconsider after major revisions (27 Mar 2018) by Ross Brown
AR by Hanneke Luijting on behalf of the Authors (16 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 May 2018) by Ross Brown
RR by Anonymous Referee #2 (31 May 2018)
ED: Publish subject to minor revisions (review by editor) (31 May 2018) by Ross Brown
AR by Hanneke Luijting on behalf of the Authors (05 Jun 2018)  Author's response    Manuscript
ED: Publish as is (06 Jun 2018) by Ross Brown
Publications Copernicus
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Short summary
Knowledge of the snow reservoir is important for energy production and water resource management. In this study, a detailed snow model is run over southern Norway with two different sets of forcing data. The results show that forcing data consisting of post-processed data from a numerical weather model (observations assimilated into the raw weather predictions) are most promising for snow simulations when larger regions are evaluated.
Knowledge of the snow reservoir is important for energy production and water resource...
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