Articles | Volume 16, issue 2
Ocean Sci., 16, 355–371, 2020
https://doi.org/10.5194/os-16-355-2020
Ocean Sci., 16, 355–371, 2020
https://doi.org/10.5194/os-16-355-2020

Research article 17 Mar 2020

Research article | 17 Mar 2020

Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5

Robert Daniel Osinski and Hagen Radtke

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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 Robert Osinski on behalf of the Authors (30 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Nov 2019) by Judith Wolf
RR by Anonymous Referee #2 (26 Dec 2019)
ED: Publish subject to minor revisions (review by editor) (09 Jan 2020) by Judith Wolf
AR by Robert Osinski on behalf of the Authors (16 Jan 2020)  Author's response    Manuscript
ED: Publish as is (09 Feb 2020) by Judith Wolf
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Short summary
The idea of this study is to quantify the uncertainty in hindcasts of severe storm events by applying a state-of-the-art ensemble generation technique. Other ensemble generation techniques are tested. The atmospheric WRF model is driven by the ERA5 reanalysis. A setup of the Wavewatch III® wave model for the Baltic Sea is used with the wind fields produced with the WRF ensemble. The effect of different spatio-temporal resolutions of the wind fields on the significant wave height is investigated.