AbstractSurface 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.