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Contact: Baptiste Mourre
The use of altimetry for the observation of dynamical processes
over continental shelves has up to now been very limited, notably
because of the small time and space scales of the phenomena in these
areas, which are not sufficiently sampled from space.
Looking to the future, the main objective of the study is to assess
the capability of different altimeter scenarios to observe these
processes. New altimeter technologies such as the Wide
Swath Ocean Altimeter are considered, as well as projects of
satellite constellations.
Due to the specificities of the coastal ocean, a combination of
altimeter observations with numerical modeling seems necessary to
get the best estimate of the state of the ocean in these areas.
This is the reason why the approach is based on data assimilation.
The model used in this work is the barotropic, finite-element MOG2D
model, implemented over the entire
European continental shelf. Moreover, our focus is on the specific
high-frequency response of the ocean to meteorological forcing (wind
and pressure).
A special attention is paid to properly specify model error statistics,
which are required for assimilation experiments.
In particular, a detailed exploration of the model error subspace
due to uncertainties in bathymetry is carried out via the use of
an ensemble method. Model error covariances are shown to be neither
homogeneous over shelves, nor isotropic when approaching the coast.
They are not even stationary, since they are very dependent on the
meteorological forcing.
An Ensemble Kalman Filter assimilation scheme is then implemented
to assimilate sea level data in the model. Multiple twin experiments
are performed to estimate the capabiliy of different observing scenarios
to reduce model errors. The diagnostic is based on the reduction
of the ensemble spread thanks to the assimilation. In particular,
we investigate the contributions of the Wide Swath Ocean Altimeter
and different satellite constellations. The complementarity of altimetry
and tide gauges for controling the model trajectory in this particular
context concerning the response of the ocean to meteorological forcing
in the presence of bathymetric errors is also demonstrated.
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