Articles | Volume 14, issue 6
Ocean Sci., 14, 1435–1447, 2018
https://doi.org/10.5194/os-14-1435-2018
Ocean Sci., 14, 1435–1447, 2018
https://doi.org/10.5194/os-14-1435-2018

Research article 20 Nov 2018

Research article | 20 Nov 2018

Better Baltic Sea wave forecasts: improving resolution or introducing ensembles?

Torben Schmith 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 Torben Schmith on behalf of the Authors (23 Aug 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Sep 2018) by Neil Wells
RR by Anonymous Referee #2 (21 Sep 2018)
RR by Anonymous Referee #1 (26 Sep 2018)
ED: Publish subject to minor revisions (review by editor) (08 Oct 2018) by Neil Wells
AR by Torben Schmith on behalf of the Authors (26 Oct 2018)  Author's response    Manuscript
ED: Publish as is (29 Oct 2018) by Neil Wells

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Torben Schmith on behalf of the Authors (14 Nov 2018)   Author's adjustment   Manuscript
EA: Adjustments approved (19 Nov 2018) by Neil Wells
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Short summary
Using the Baltic Sea as an example, the benefit of increased wave model resolution as opposed to ensemble forecasting is examined, on the premise that the extra computational effort tends to be of the same order of magnitude in both cases. For offshore waters, an ensemble mean is shown to outperform high-resolution modeling. However, for nearshore or shallow waters, where fine-scale depth or coastal features gain importance, this is not necessarily found to be the case.