Bibliography

Publications of the year

Articles in International Peer-Reviewed Journal

[1]

D. Auroux.
The back and forth nudging algorithm applied to a shallow water model, comparison and hybridization with the 4D-VAR, in: Int. J. Numer. Methods Fluids, 2009, vol. 61, n^o 8, p. 911–929
http://hal.archives-ouvertes.fr/inria-00329182/fr/.

[2]

F. Bernardin, M. Bossy, C. Chauvin, P. Drobinski, A. Rousseau, T. Salameh.
Stochastic Downscaling Method: Application to Wind Refinement, in: Stochastic Environmental Research and Risk Assessment, 2009, vol. 23, n^o 6, p. 851–859
http://hal.inria.fr/inria-00267959/en/.

[3]

W. Castaings, D. Dartus, G.-M. Saulnier, F.-X. Le Dimet.
Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods, in: Hydrol. Earth Syst. Sci., 2009, vol. 13, p. 503–517.

[4]

J. Dedecker, C. Prieur.
Some unbounded functions of intermittent maps for which the central limit theorem holds, in: ALEA, 2009, vol. 5, p. 29–45, Special Issue: In the memory of José de Sam Lazaro.

[5]

I. Gejadze, F.-X. Le Dimet, V. Shutyaev.
On Optimal Solution Error Covariance in Variational Data Assimilation Problems, in: J. Com. Phys., 2009, to appear.

[6]

N. Guillotin-Plantard, C. Prieur.
Central limit theorem for sampled sums of dependent random variables, in: ESAIM P& S, 2009
http://hal.archives-ouvertes.fr/hal-00200784/en/, to appear.

[7]

M. Honnorat, J. Monnier, F.-X. Le Dimet.
Lagrangian data assimilation for river hydraulics simulations, in: Comput. Visu. Sc. (CVS), 2009, vol. 12, n^o 5, p. 235–246.

[8]

E. Kazantsev.
Identification of Optimal Topography by Variational Data Assimilation., in: J. Phys. Math., 2009, vol. 1, p. 1-23
http://www.dinahgroup.com/volume1_2009_JPM.htm.

[9]

E. Kazantsev.
Optimal Boundary Discretisation by Variational Data Assimilation., in: Int. J. for Numerical Methods in Fluids, 2009
http://hal.inria.fr/inria-00388862/fr/, to appear.

[10]

E. Kazantsev.
Identification of an Optimal Boundary Approximation by Variational Data Assimilation., in: J.Comp.Phys., 2010, vol. 229, p. 256-275
http://hal.inria.fr/inria-00388884/fr/.

[11]

G. Lebeau, M. Nodet.
Experimental Study of the HUM Control Operator for Linear Waves, in: Experimental Mathematics (Project Euclid), 2009
http://hal.archives-ouvertes.fr/inria-00316195/en/.

[12]

F.-X. Le Dimet, I. Souopgui, O. Titaud, A. Vidard.
Models, Data and Images for Predicting the Evolution of Geophysical Fluids, in: Acta Mathematica Vietnamica, 2009, vol. 34, p. 37-47
http://hal.inria.fr/inria-00326125/en/.

[13]

B. Lemieux-Dudon, E. Blayo, J.-R. Petit, C. Waelbroeck, A. Svensson, C. Ritz, J.-M. Barnola, Bianca Maria. Narcisi, F. Parrenin.
Consistent dating for Antarctica and Greenland ice cores, in: Quaternary Science Reviews, 2009, to appear.

[14]

J. Ma, M. Y. Hussaini, O. V. Vasilyef, F.-X. Le Dimet.
Multiscale geometric analysis of turbulence by curvelets., in: IEEE Transactions on Geoscience and Remote Sensing, 2009, vol. 21, n^o 7, p. 1–19.

[15]

P. Marchesiello, L. Debreu, X. Couvelard.
Spurious diapycnal mixing in terrain-following coordinate models: The problem and a solution, in: Ocean Modelling, 2009, vol. 26, n^o 3-4, p. 156-169.

[16]

M. Nodet.
Optimal control of the Primitive Equations of the Ocean with Lagrangian observations, in: Control Optimisation and Calculus of Variations, 2009
http://hal.archives-ouvertes.fr/inria-00268804/en/, to appear.

[17]

E. Nourtier-Mazauric, E. Blayo.
Towards efficient interface conditions for a Schwarz domain decomposition algorithm for an advection equation with biharmonic diffusion, in: Appl. Numer. Math., 2010, vol. 60, p. 83–93.

[18]

E. Simon, L. Debreu, E. Blayo.
4D variational data assimilation for locally nested models: complementary theoretical aspects and application to a 2D shallow water model, in: Int. J. Num. Meth. Fluids, 2009, to appear.

[19]

O. Titaud, A. Vidard, I. Souopgui, F.-X. Le Dimet.
Assimilation of Image Sequences in Numerical Models, in: Tellus Ser A-Dyn. Meteorol. Oceanol., 2009
http://hal.inria.fr/inria-00391876/en/, to appear.

[20]

A. Vidard, M. Balmaseda, D. Anderson.
Assimilation of altimeter data in the ECMWF ocean analysis system 3., in: Monthly Weather Review, 2009, vol. 137, p. 1393-1408
http://hal.inria.fr/inria-00325685/en/.

Invited Conferences

[21]

E. Blayo.
Data assimilation for oceanic and atmospheric applications, in: 14th Belgian-French-German Conference on Optimization, Leuven, Belgique, Sep 2009.

[22]

E. Blayo, M. Bocquet, J. Verron.
L'assimilation de donnes, un outil de synthse de l'information, in: Colloque bilan du programme LEFE, Brest, May 2009.

[23]

C. Prieur.
Measures of dependence: application to one-dimensional dynamical systems, in: 13th Brazilian school of probability, São Sebastião, Brésil, August 2009.

International Peer-Reviewed Conference/Proceedings

[24]

D. Auroux, J. Blum.
The Back and Forth Nudging algorithm for oceanographic data assimilation, in: 5th WMO Symposium on Data Assimilation, Melbourne, Australia, 2009.

[25]

M. Krysta, E. Blayo, E. Cosme, J. Verron.
Hybridization of the 4D-Var with a SEEK smoother in view of oceanic applications, in: 5th WMO Symposium on Data Assimilation, Melbourne, Australia, Oct 2009.

[26]

F.-X. Le Dimet, I. Gejadze, V. Shutyaev.
Posterior Covariance in VDA for Nonlinear Evolution Models, in: Fifth WMO International Symposium on Inverse Problems, Melbourne, Australia, October 5-9 2009.

[27]

C. Lucas, A. Rousseau.
Cosine Effect in Ocean Models, in: Oceanography and Mathematics, DCDS-S, 2009
http://hal.inria.fr/inria-00428977/, to appear.

[28]

A. Vidard.
Direct data assimilation of image sequences in numerical models, in: Fifth WMO International Symposium on Data Assimilation of Observations in Meteorology, Oceanography and Hydrology, Melbourne, Australia, October 5-9 2009.

Workshops without Proceedings

[29]

C. Chauvin, F.-X. Le Dimet, M. Nodet, I. Souopgui, O. Titaud, A. Vidard.
Assimilation of Lagrangian Data in a Variational framework, in: LAPCOD 2009, La Londe Les Maures France, 09 2009
http://hal.archives-ouvertes.fr/inria-00418719/en/.

[30]

F.-X. Le Dimet, I. Gejadze, V. Shutyaev.
Error Propagation and Second Order Information in Variational Data Assimilation, in: Applied Inverse Problems (AIP) Conference, Vienna, July 2009.

[31]

M. Nodet.
Experimental Study of the HUM Control for Linear Waves, in: Journée contrôle des équations aux dérivées partielles, Orléans France, 06 2009
http://hal.archives-ouvertes.fr/inria-00418745/en/.

[32]

M. Nodet.
Experimental Study of the HUM Control Operator for Linear Waves, in: Séminaire de mathématiques appliquées d'Orsay, Orsay Paris Sud France, 03 2009
http://hal.archives-ouvertes.fr/inria-00418733/en/.

[33]

M. Nodet, G. Lebeau.
Experimental Study of the HUM Control Operator for Linear Waves, in: SMAI 2009, La Colle Sur Loup France, 05 2009
http://hal.archives-ouvertes.fr/inria-00418712/en/.

[34]

C. Prieur.
Random walks in weakly dependent random sceneries., in: 27th. European Meeting of Statisticians, Toulouse, July 2009.

[35]

E. Simon, L. Debreu, E. Blayo.
4D-Variational data assimilation for locally nested numerical models, in: European Geophysical Union General Assembly 2009, Vienne, Autriche, April 2009.

[36]

A. Vidard.
Direct data assimilation of image sequences, in: SIAM Conference on Computational Science and Engineering, Miami, Florida, USA, March 2-6 2009.

Scientific Books (or Scientific Book chapters)

[37]

F.-X. Le Dimet, W. Castaings, P. Ngnepieba, B. Vieux.
Data Assimilation in Hydrology : Variational Approach, in: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, S. K. Park, L. Xu (editors), Springer, 2009.

References in notes

[38]

D. Auroux.
Fast algorithms for image processing and data assimilation, University of Toulouse, France, November 2008, Habilitation à Diriger des Recherches.

[39]

D. Auroux, J. Blum.
A nudging-based data assimilation method for oceanographic problems: the Back and Forth Nudging (BFN) algorithm, in: Nonlin. Proc. Geophys., 2008, vol. 15, p. 305–319
http://hal.inria.fr/inria-00327422/fr/.

[40]

D. Auroux, J. Fehrenbach.
Identification of velocity fields for geophysical fluids from a sequence of images, INRIA, 2008, n^o RR-6675
http://hal.inria.fr/inria-00328990/fr/, Reseach report.

[41]

D. Auroux, M. Nodet.
The back and forth nudging algorithm for data assimilation problems: theoretical results on transport equations, INRIA, 2008, n^o RR-6676
http://hal.inria.fr/inria-00325305/fr/, Reseach report.

[42]

L. Debreu, E. Blayo.
AGRIF: Adaptive Grid Refinement In Fortran, INRIA, June 2002
http://www.inria.fr/rrrt/rt-0262.html, Technical report.

[43]

J.-B. Flór, I. Eames.
Dynamcis of monopolar vortices on a topographic beta-plane, in: J. Fluid Mech, 2002, n^o 456, p. 353–376.

[44]

I. Gejadze, F.-X. Le Dimet, V. Shutyaev.
Computing a posteriori covariance in variational data assimilation., in: 5th Asia Oceania Geosciences Society Conference,, Busan, Korea, 2008, vol. 10.

[45]

I. Gejadze, F.-X. Le Dimet, V. Shutyaev.
On analysis error covariances in variational data assimilation., in: SIAM Journal on Scientific Computing,, 2008, vol. 30, n^o 4, p. 1847-1874.

[46]

J.-L. Lions.
Exact controllability, stabilization and perturbations for distributed systems., in: SIAM Rev., 1988, vol. 30, n^o 1, p. 1-68.

[47]

C. Lucas, A. Rousseau.
New Developments and Cosine Effect in the Viscous Shallow Water and Quasi-Geostrophic Equations, in: SIAM Multiscale Modeling and Simulations, 2008, vol. 7, n^o 2, p. 793–813
http://hal.inria.fr/inria-00180921/fr/.

[48]

A. Rousseau, R. Temam, J. Tribbia.
The 3d primitive equations in the absence of viscosity: boundary conditions and well-posedness in the linearized case, in: J. Math. Pures Appl., 2008, vol. 89, n^o 3, p. 297–319
http://hal.inria.fr/inria-00179961/fr/.

[49]

V. Shutyaev, F.-X. Le Dimet, I. Gejadze.
On optimal solution error covariances in variational data assimilation., in: Russian Journal of Numerical Analysis and Mathematical Modelling,, 2008, vol. 23(2), p. 197–205.

[50]

F. Yao, H.-G. Müller, J.-L. Wang.
Functional linear regression analysis for longitudinal data, in: Ann. Statist., 2005, vol. 33, n^o 6, p. 2873–2903.