O. Talagrand, Assimilation of Observations, an Introduction, J. Meteor. Soc. Japan, vol.75, pp.191-209, 1997.

A. Clayton, C. Andrew, . Lorenc, M. Dale, and . Barker, Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met Office, Quarterly Journal of the Royal Meteorological Society, vol.140, issue.675, pp.1445-1461, 2013.
DOI : 10.1002/qj.2054

H. Ngodock and M. Carrier, A 4DVAR System for the Navy Coastal Ocean Model. Part I: System Description and Assimilation of Synthetic Observations in Monterey Bay*, Monthly Weather Review, vol.142, issue.6, pp.2085-2107, 2014.
DOI : 10.1175/MWR-D-13-00221.1

L. Nardi, C. Sorror, F. Badran, and S. Thiria, YAO: A Software for Variational Data Assimilation Using Numerical Models, LNCS 5593, Computational Science and Its Applications (ICCSA), pp.621-636, 2009.
DOI : 10.1121/1.2197790
URL : https://hal.archives-ouvertes.fr/hal-01125735

L. Nardi, Formalisation et automatisation de YAO, générateur de code pour l'assimilation variationnelle de données, 2011.

M. Hermand, L. Meyer, M. Perichon, and . Asch, Inversion of Satellite Ocean Colour Imagery and Geoacoustic Characterization of Seabed Properties: Variational Data Inversion Using a Semi-automatic Adjoint Approach, J. of Marine Systems, vol.69, pp.126-136, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01507523

M. Berrada, Une approche variationnelle de l'inversion, de la recherche localè a la recherche globale par carte topologique: application en inversion géoacoustique, 2008.

J. Brajard, C. Jamet, C. Moulin, and S. Thiria, Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols, Neural Networks, vol.19, issue.2, pp.178-185, 2006.
DOI : 10.1016/j.neunet.2006.01.015
URL : https://hal.archives-ouvertes.fr/hal-00122477

A. Kane, S. Thiria, and C. Moulin, Développement d'une Méthode d'Assimilation de Données in Situ dans une Version 1D du Modèle de Biogochimie Marine PISCES, 2006.

G. Madec, NEMO ocean engine. Note du Pôle de modélisation de l'Institut Pierre-Simon Laplace No 27, LOCEAN, 2008.

K. Kennedy and K. Mckinley, Typed fusion with applications to parallel and sequential code generation, 1993.

R. Allen, D. Callahan, and K. Kennedy, Automatic decomposition of scientific programs for parallel execution, Proceedings of the 14th ACM SIGACT-SIGPLAN symposium on Principles of programming languages , POPL '87, pp.63-76, 1987.
DOI : 10.1145/41625.41631

H. Jin, M. A. Frumkin, and J. Yan, Automatic Generation of OpenMP Directives and Its Application to Computational Fluid Dynamics Codes, ISHPC, pp.440-456, 2000.
DOI : 10.1007/3-540-39999-2_42

J. Taillard, F. Guyomarc-'h, and J. Dekeyser, A Graphical Framework for High Performance Computing Using An MDE Approach, 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008), pp.165-173, 2008.
DOI : 10.1109/PDP.2008.74

U. Bondhugula, A. Hartono, J. Ramanujam, and P. Sadayappan, A practical automatic polyhedral parallelizer and locality optimizer, PLDI, pp.101-113, 2008.

L. Nardi, F. Badran, P. Fortin, and S. Thiria, YAO: A Generator of Parallel Code for Variational Data Assimilation Applications, 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems, pp.2012-224, 2012.
DOI : 10.1109/HPCC.2012.38
URL : https://hal.archives-ouvertes.fr/hal-00695513