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

Data sets

ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate Copernicus Climate Change Service https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview

Complete UERRA regional reanalysis for Europe from 1961 to 2019 Copernicus Climate Data Store https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-uerra-europe-complete?tab=overview

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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.