Reference : Correcting surface winds by assimilating High-Frequency Radar surface currents in the Ge...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/83330
Correcting surface winds by assimilating High-Frequency Radar surface currents in the German Bight
English
Barth, Alexander mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) - Département d'astrophys., géophysique et océanographie (AGO) >]
Alvera Azcarate, Aïda mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Beckers, Jean-Marie mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Staneva, Joanna [> >]
Emil V., Stanev [> >]
Johannes, Schulz-Stellenfleth [> >]
2011
Ocean Dynamics
Springer Science & Business Media B.V.
61
5
599-610
Yes (verified by ORBi)
International
1616-7341
Heidelberg
Germany
[en] ocean modelling ; data assimilation ; German Bight
[en] Surface winds are crucial for accurately modeling the surface circulation in the coastal ocean. In the present work, high-frequency (HF) radar surface currents are assimilated using an ensemble scheme which aims to obtain improved surface winds taking into account ECMWF (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.
Centre Interfacultaire de Recherches en Océanologie - MARE ; GeoHydrodynamics and Environment Research ; Département d'Astrophysique, Géophysique et Océanographie
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
European COastal-shelf sea OPerational observing and forecasting system (ECOOP)
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/83330
10.1007/s10236-010-0369-0
http://modb.oce.ulg.ac.be/mediawiki/upload/Alex/CV/Barth10_Ocean_Dynamics_AssimWinds.pdf

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