The ocean and the atmosphere are basically two shallow
layers of fluid around a large sphere, Earth. The motion of these layers
is most often reduced to well-localized processes which are studied in
detail by oceanographers and meteorologists. The main difficulty is that
the dynamics of the earth "fluid continuum" is not the sum of
the particular processes. The whole system is indeed fundamentally chaotic
and a "predictability" time scale depending essentially on the
"degree" of non-linearity of the mechanisms involved must necessarily
be associated to any study...
Schematic representation of the internal tide
generation, propagation and dissipation
|My research activities are basically
dedicated to the understanding of the dynamics of this fluid continuum,
but rather than concentrating on a particular mechanism, I chose to
concentrate on the energy and enstrophy cascades that maintain this
complex dynamics with a particular focus on the role of the ocean
internal waves in these energy transfers.
To reach this objective, we have developped in our Coastal
Ocean Team a free-surface energy-conserving non-hydrostatic numerical
Numerical modelling of internal tides:
- Modelling of MINT-94 campaign (Bay
of Biscay,N-E Atlantics) (I. Pairaud Ph-D thesis),
- Ensemble Modelling of the Gulf
of Lions (NW-Mediterranean),
- Energetics of internal tide generation,
propagation and dissipation over a ridge (J. Floor Ph-D thesis),
- Dynamics and energetics of non-linear
Direct Numerical Simulation (DNS) of laboratory experiments :
(collaboration with A. Paci (CNRM/GAME - Météo-France/CNRS))
-Energy transfers associated to internal
tides generated over ocean ridges (J. Floor and Y. Dossmann Ph-D thesis).
- Energy balance and evaluation of transfers,
- Non-hydrostatic algorithm implemented in SYMPHONIE-NH,
- Variational initialization and forcing of numerical models (VIFOP).
- Matlab-GUI Netcdf graphic interface (SVIEW),
- Matlab-GUI kinematic and potential energy interface (SVIEW-Energy),
- WEof online analysis coupling wavelet
and principal component analysis.