Articles | Volume 12, issue 6
The Cryosphere, 12, 2123–2145, 2018
https://doi.org/10.5194/tc-12-2123-2018
The Cryosphere, 12, 2123–2145, 2018
https://doi.org/10.5194/tc-12-2123-2018

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
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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.