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Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight
Barth, A.; Alvera-Azcárate, A.; Beckers, J.M.; Staneva, J.; Stanev, E.V.; Schulz-Stellenfleth, J. (2011). Correcting surface winds by assimilating high-frequency radar surface currents in the German Bight. Ocean Dynamics 61(5): 599-610. dx.doi.org/10.1007/s10236-010-0369-0
In: Ocean Dynamics. Springer-Verlag: Berlin; Heidelberg; New York. ISSN 1616-7341; e-ISSN 1616-7228, meer
Peer reviewed article  

Beschikbaar in  Auteurs 

Author keywords
    Data assimilation; Ensemble simulation; High-frequency radar; Surface

Auteurs  Top 
  • Barth, A.
  • Alvera-Azcárate, A.
  • Beckers, J.M.
  • Staneva, J.
  • Stanev, E.V.
  • Schulz-Stellenfleth, J.

Abstract
    Surface winds are crucial for accurately modeling the surface circulation in the coastal ocean. In the present work, high-frequency radar surface currents are assimilated using an ensemble scheme which aims to obtain improved surface winds taking into account European Centre for Medium-Range Weather Forecasts winds as a first guess and surface current measurements. The objective of this study is to show that wind forcing can be improved using an approach similar to parameter estimation in ensemble data assimilation. Like variational assimilation schemes, the method provides an improved wind field based on surface current measurements. However, the technique does not require an adjoint, and it is thus easier to implement. In addition, it does not rely on a linearization of the model dynamics. The method is validated directly by comparing the analyzed wind speed to independent in situ measurements and indirectly by assessing the impact of the corrected winds on model sea surface temperature (SST) relative to satellite SST.

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