E. N. Lorenz, Deterministic Nonperiodic Flow, Journal of the Atmospheric Sciences, vol.20, issue.2, pp.130-141, 1963.
DOI : 10.1175/1520-0469(1963)020<0130:DNF>2.0.CO;2

F. Dimet, A general formalism of variational analysis, 1982.

F. Dimet and O. Talagrand, Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects, Tellus A, vol.109, issue.2, pp.97-110, 1986.
DOI : 10.1111/j.1600-0870.1986.tb00459.x

J. Lions, Contrôle optimal de systèmes gouvernés pas deséquationsdeséquations aux dérivées parielles. Dunod, 1968.

G. I. Marchuk, Formulation of the theory of perturbations for complicated models, Applied Mathematics & Optimization, vol.2, issue.3, pp.1-33, 1975.
DOI : 10.1007/BF01458193

Y. Leredde, J. M. Lellouche, J. L. Devenon, and I. Dekeyser, On initial, boundary conditions and viscosity coefficient control for Burgers' equation, International Journal for Numerical Methods in Fluids, vol.26, issue.1, pp.113-128, 1998.
DOI : 10.1002/(SICI)1097-0363(19980715)28:1<113::AID-FLD702>3.0.CO;2-1

A. Arakawa and V. Lamb, Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model, Methods in Computational Physics, vol.17, pp.174-267, 1977.
DOI : 10.1016/B978-0-12-460817-7.50009-4

J. C. Gilbert and C. Lemarechal, Some numerical experiments with variable-storage quasi-Newton algorithms, Mathematical Programming, vol.11, issue.2, pp.407-435, 1989.
DOI : 10.1007/BF01589113

E. Kazantsev, Identification of an optimal derivatives approximation by variational data assimilation, Journal of Computational Physics, vol.229, issue.2, pp.256-275, 2010.
DOI : 10.1016/j.jcp.2009.09.018

URL : https://hal.archives-ouvertes.fr/inria-00388884

A. Arakawa and V. Lamb, Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model, Computational Physics, pp.174-267, 1977.
DOI : 10.1016/B978-0-12-460817-7.50009-4

E. Kazantsev, Optimal boundary discretization by variational data assimilation, International Journal for Numerical Methods in Fluids, vol.128, issue.3, pp.1231-1259, 2011.
DOI : 10.1002/fld.2240

URL : https://hal.archives-ouvertes.fr/inria-00388862

K. Ide, P. Courtier, M. Ghil, and A. C. Lorenc, Unified notation for data assimilation: Operational, sequential and variational, J. of the Met. Soc. of Japan, issue.1B, pp.75181-189, 1997.

E. Kazantsev, Identification of optimal topography of the barotropic ocean model in the North Atlantic by variational data assimilation, Journal of Physical Mathematics, vol.1, pp.1-23, 2009.
DOI : 10.4303/jpm/S090702

L. Hascoët and V. Pascual, Tapenade 2.1 user's guide, 2004.

M. Tber, L. Hascoët, A. Vidard, and B. Dauvergne, Building the tangent and adjoint codes of the ocean general circulation model OPA with the automatic differentiation tool tapenade, Research Report, vol.6372, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00192415

C. , L. Provost, and J. Verron, Wind-driven ocean circulation transition to barotropic instability, Dyn.Atmos.Oceans, vol.11, pp.175-201, 1987.
DOI : 10.1016/0377-0265(87)90005-4

E. Simmonet, M. Ghil, K. Ide, R. Temam, and S. Wang, Low-Frequency Variability in Shallow-Water Models of the Wind-Driven Ocean Circulation. Part II: Time-Dependent Solutions*, Journal of Physical Oceanography, vol.33, issue.4, pp.729-752, 2003.
DOI : 10.1175/1520-0485(2003)33<729:LVISMO>2.0.CO;2

W. H. Munk, ON THE WIND-DRIVEN OCEAN CIRCULATION, Journal of Meteorology, vol.7, issue.2, pp.3-29, 1950.
DOI : 10.1175/1520-0469(1950)007<0080:OTWDOC>2.0.CO;2

G. Korotaev, T. Oguz, A. Nikiforov, and C. Koblinsky, Seasonal, interannual, and mesoscale variability of the Black Sea upper layer circulation derived from altimeter data, Journal of Geophysical Research, vol.27, issue.C4, p.3122, 2003.
DOI : 10.1029/2002JC001508

G. K. Korotaev, O. A. Saenko, and C. J. Koblinsky, Satellite altimetry observations of the Black Sea level, Journal of Geophysical Research: Oceans, vol.33, issue.C1, pp.917-934, 2001.
DOI : 10.1029/2000JC900120

E. Kazantsev, Boundary conditions control for a shallow-water model, International Journal for Numerical Methods in Fluids, vol.106, issue.1, 2011.
DOI : 10.1002/fld.2526

URL : https://hal.archives-ouvertes.fr/hal-00764540