D. Auroux and J. Blum, Back and forth nudging algorithm for data assimilation problems, Comptes Rendus Mathematique, vol.340, issue.12, pp.873-78, 2005.
DOI : 10.1016/j.crma.2005.05.006
URL : https://hal.archives-ouvertes.fr/inria-00189644

D. Auroux and J. Blum, A nudging-based data assimilation method: the Back and Forth Nudging (BFN) algorithm Nonlin. Processes Geophys, pp.305-324, 2008.

J. Hoke, The Initialization of Numerical Models by a Dynamic-Initialization Technique, Monthly Weather Review, vol.104, issue.12, pp.1551-56
DOI : 10.1175/1520-0493(1976)104<1551:TIONMB>2.0.CO;2

E. Kalnay, K. Park, S. Pu, Z. Gao, and J. , Application of the quasi-inverse method to data assimilation Month. Weather Rev, pp.864-75, 2000.

L. Dimet, F. Talagrand, and O. , Variational algorithms for analysis and assimilation of meteorogical observations: theoretical aspects Tellus 38A pp, pp.97-110

Z. Pu, E. Kalnay, J. Sela, and I. Szunyogh, Sensitivity of forecast errors to initial conditions with a quasi-inverse linear method Month. Weather Rev, pp.2479-2503, 1997.