[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.
Research center :
MARE - Centre Interfacultaire de Recherches en Océanologie - ULiège GeoHydrodynamics and Environment Research Département d'Astrophysique, Géophysique et Océanographie
Disciplines :
Earth sciences & physical geography
Author, co-author :
Barth, Alexander ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) - Département d'astrophys., géophysique et océanographie (AGO)
Alvera Azcarate, Aïda ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Beckers, Jean-Marie ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Staneva, Joanna
Emil V., Stanev
Johannes, Schulz-Stellenfleth
Language :
English
Title :
Correcting surface winds by assimilating High-Frequency Radar surface currents in the German Bight
Publication date :
2011
Journal title :
Ocean Dynamics
ISSN :
1616-7341
eISSN :
1616-7228
Publisher :
Springer Science & Business Media B.V., Heidelberg, Germany
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