Bibliography

Publications of the year

Articles in International Peer-Reviewed Journal

1A. Antoniadis, C. Helbert, C. Prieur, L. Viry.

Spatio-temporal metamodeling for West African monsoon, in: Environmetrics, 2011.

http://hal.inria.fr/hal-00551303/en
2D. Auroux, J. Blum, M. Nodet.

Diffusive Back and Forth Nudging algorithm for data assimilation, in: Comptes Rendus de l Académie des Sciences - Series I - Mathematics, 2011, vol. 349, p. 849-854. [ DOI : 10.1016/j.crma.2011.07.004 ]

http://hal.inria.fr/inria-00617571/en
3P. Cenac, V. Maume-Deschamps, C. Prieur.

Some multivariate risk indicators; minimization by using a Kiefer-Wolfowitz approach to the mirror stochastic algorithm, in: Stat. Risk. Model., 2011.
4E. Di Bernardino, T. Laloë, V. Maume-Deschamps, C. Prieur.

Plug-in estimation of level sets in a non-compact setting with applications in multivariate risk theory, in: ESAIM-Probab. Stat., 2011.

http://hal.inria.fr/hal-00580624/en
5F. Gamboa, T. Klein, C. Prieur.

Conditional large and moderate deviations for sums of discrete random variables. Combinatoric applications, in: Bernoulli, 2011.
6M. Jay-Allemand, F. Gillet-Chaulet, O. Gagliardini, M. Nodet.

Investigating changes in basal conditions of Variegated Glacier prior and during its 1982-1983 surge, in: The Cryosphere, 2011, vol. 5, n^o 3, p. 659–672. [ DOI : 10.5194/tc-5-659-2011 ]

http://hal.inria.fr/inria-00594996/en
7E. Kazantsev.

Boundary conditions control for a Shallow-Water model., in: Int. J. for Numerical Methods in Fluids, 2011, publised online, DOI: 10.1002/fld.2526.
8E. Kazantsev.

Optimal Boundary Discretisation by Variational Data Assimilation., in: Int. J. for Numerical Methods in Fluids, 2011, vol. 65, n^o 10, p. 1231-1259, doi: 10.1002/fld.2240.

http://hal.inria.fr/inria-00388862/fr/
9E. Kazantsev.

Sensitivity of a Shallow-Water Model to Parameters., in: Nonlinear Analysis Series B: Real World Applications, 2011, accepted, DOI:10.1016/j.nonrwa.2011.11.006.

http://hal.inria.fr/hal-00652299/fr/
10M. Krysta, E. Blayo, E. Cosme, J. Verron.

A consistent hybrid variational-smoothing data assimilation method: Application to a simple shallow-water model of the turbulent mid-latitude ocean., in: Monthly Weather Review, 2011, vol. 139, p. 3333-3347.
11O. Mestre, C. Gruber, C. Prieur, H. Caussinus, S. Jourdain.

SPLIDHOM: a method for homogenization of daily temperature observations, in: J. Appl. Meteorol. Climatol., avr 2011, vol. 50, n^o 4.
12L. D. Neveu E., F.-X. Le Dimet.

Multigrid methods and data assimilation - Convergence study and first experiments on non-linear equations, in: ARIMA, 2011, vol. 14, p. 63-80.
13N. Papadakis, A. Baeza, A. Bugeau, O. D'Hondt, P. Gargallo I Piracés, V. Caselles, X. Armangué, I. Rius, S. Sagàs.

Virtual camera synthesis for soccer game replays, in: Journal of Virtual Reality and Broadcasting, 2011, accepted.
14N. Papadakis, A. Bugeau.

Tracking with Occlusions via Graph Cuts, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2011, vol. 33, n^o 1, p. 144 -157. [ DOI : 10.1109/TPAMI.2010.56 ]

http://hal.inria.fr/hal-00522633
15N. Papadakis, P. Edoardo, V. Caselles.

A Variational Model for Histogram Transfer of Color Images, in: IEEE Transactions on Image Processing, Jun 2011, vol. 20, n^o 6, p. 1682 - 1695.

http://hal.inria.fr/hal-00596053/en
16V. Shutyaev, I. Gejadze, G. Copeland, F.-X. Le Dimet.

Optimal Solution Error Covariance in highly Nonlinear Problems of Variational Data AssimilationH., in: Nonlinear Problems in Geophysics, 2011, accepted.
17E. 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, 2011, vol. 66, p. 135-161.

Invited Conferences

18C. Helbert, D. Dupuy.

Performances of kriging on several industrial case studies : from low to high dimensional hyperspaces, in: 58th ISI World Statistics Congress, August 2011.
19F.-X. Le Dimet.

Assimilation d’images et turbulence, in: Inverse Problems, conference in honnor of Jacques Blum, Nice, June 2011.
20M. Nodet.

Introduction to Data Assimilation, in: EFIDIR Spring School, Les Houches, Chamonix, France, May 2011.

http://hal.inria.fr/inria-00632846/en
21M. Nodet.

Introduction to data assimilation, in: JSTAR'11, Rennes, France, October 2011.

http://hal.inria.fr/hal-00645806/en
22M. Nodet.

Introduction to Data Assimilation, in: Inversion et Assimilation d'Images, Paris, France, June 2011.

http://hal.inria.fr/inria-00632847/en
23C. Prieur.

Méthodes stochatiques d'analyse de sensibilité globale, in: Méthodes d'Analyse de Sensibilité, Grenoble, France, Atelier Modlisation du Cluster Environnement, oct 2011.
24C. Prieur.

Mixing properties of dynamical systems, in: Workshop in honor of Professor J. R. Leon, Venezuela, nov 2011.
25C. Prieur.

Spatio-temporal metamodeling for Western African monsoon, in: Modélisation pour l'environnement et expérimentation numérique, Paris, France, GDR MASCOT NUM, ANR COSTA BRAVA, AgroParisTech, jun 2011.
26A. Rousseau.

Quasi-Hydrostatic Ocean Models, in: Numerical Mathematics on Challenging problems, Tunis, Tunisie, June 2011.

http://hal.inria.fr/hal-00648237/en/
27A. Vidard.

Méthodes déterministes d'analyse de sensibilité, in: Journée de l'Atelier Modélisation du Cluster Environnement : Méthodes d'analyse de sensibilité, Grenoble, France, Oct 2011.

http://hal.inria.fr/hal-00648574/en/
28A. Vidard.

NEMOVAR, a state of the art Variational Data Assimilation system for NEMO, in: Hydrodynamic modeling of the Black Sea Dynamics, Sébastopol, Ukraine, Sep 2011.

http://hal.inria.fr/hal-00648566/en/

International Conferences with Proceedings

29A. Hervieu, N. Papadakis, A. Bugeau, P. Gargallo I Piracés, V. Caselles.

Stereoscopic image inpainting using scene geometry, in: IEEE International Conference on Multimedia & Expo, Spain, Jul 2011.

http://hal.inria.fr/inria-00622591
30E. Kazantsev.

Data Assimilation and Sensitivity of the Black Sea Model to Parameters., in: Hydrodynamical Modelling of the Black Sea, Sevastopol, Ukraine, Marine Hydrophys.Inst., Nat. Ac. Sci. Ukraine, Sept 2011.

http://hal.inria.fr/hal-00651187/fr/

Conferences without Proceedings

31E. Blayo, A. Rousseau.

Mini-symposium : Couplage de modèles en hydrodynamique, in: SMAI 2011, Guidel, France, May 2011.

http://hal.inria.fr/hal-00648424/en/
32B. Bonan, M. Nodet, C. Ritz.

To which extent can global ice volume records provide information on past ice sheets evolution and the climate that drove them?, in: EGU General Assembly, Vienne, Austria, 2011.

http://hal.inria.fr/inria-00587253/en
33B. Bonan, M. Nodet, C. Ritz.

To which extent can global ice volume records provide information on past ice sheets evolution and the climate that drove them?, in: INQUA, Berne, Switzerland, Jul 2011.

http://hal.inria.fr/inria-00632843/en
34C. Chauvin, F.-X. Le Dimet, M. Nodet, I. Souopgui, O. Titaud, A. Vidard.

Assimilation of Lagrangian Data in a Variational framework, in: EGU General Asembly, Vienne, Autriche, 2011.

http://hal.inria.fr/inria-00587252/en/
35H. Galle, L. Viry, E. Caron.

Spatio-temporal modeling of Western African monsoon, in: Les ateliers de modélisation de l'atmosphère, Toulouse, Site de Météo France, France, Centre National de Recherches Météorologiques, fev 2011, Architectures massivement parallèles : adaptation des modèles et apports de la puissance.
36F. Gillet-Chaulet, O. Gagliardini, M. Nodet, C. Ritz, G. Durand, T. Zwinger, H. Seddik, R. Greve.

Full-Stokes finite element modelling of the Greenland ice-sheet using inverse methods., in: EGU General Assembly, Vienne, Austria, 2011.

http://hal.inria.fr/inria-00587251/en
37F. Gillet-Chaulet, O. Gagliardini, C. Ritz, G. Durand, M. Nodet, T. Zwinger, R. Greve, H. Seddik, D. G. Vaughan.

Investigating Greenland Ice Sheet dynamics using high resolution full-Stokes simulations, in: AGU, San Francisco, United States, Dec 2011.

http://hal.inria.fr/hal-00647973/en
38A. Janon, M. Nodet, C. Prieur.

Certified metamodels for sensitivity analysis), in: Workshop RB-PGD-POD model reduction techniques, Cachan, France, École Normale Supérieure de Cachan, Nov 2011.

http://hal.inria.fr/inria-00609059/en
39A. Janon, M. Nodet, C. Prieur.

Métamodèles base réduite pour l'analyse de sensibilité, in: Méthodes d'analyse de sensibilité, Grenoble, France, Atelier Modélisation du Cluster Environnement, Oct 2011.

http://hal.inria.fr/inria-00632853/en
40A. Janon, M. Nodet, C. Prieur.

Mètamodèles certifiès pour l'analyse de sensibilitè (Laurèat du Prix Poster), in: 5eme Biennale Francaise des Mathèmatiques Appliquèes, Guidel, France, Sociètè de Mathèmatiques Appliquèes et Industrielles, May 2011.
41A. Janon, M. Nodet, C. Prieur.

Mètamodèles certifiès pour l'analyse de sensibilitè, in: Quatrièmes Rencontres des Jeunes Statisticiens, Aussois, France, Sociètè Française de Statistique, Sep 2011.

http://hal.inria.fr/inria-00632852/en
42M. Jay-Allemand, F. Gillet-Chaulet, O. Gagliardini, M. Nodet.

Investigating changes in basal conditions of Variegated glacier prior and during its 1982-83 surge, in: AGU, San Francisco, United States, 2011.

http://hal.inria.fr/hal-00645811/en
43F.-X. Le Dimet, Y. Hussaini, A. Vidard, I. Souopgui.

Assimilation of Images : A Challenge, in: International Symposium on Eartscience challenges, University of Oklahoma, USA, Sept 2011.
44F.-X. Le Dimet, I. Souopgui, A. Vidard.

Toward the Assimilation of Images, in: AMS Annual Meeting, Seattle, USA, Jan 2011.
45F.-X. Le Dimet, Y. Hussaini, N. Papadakis, I. Souopgui, A. Vidard.

Assimilation of Images : A Variational Framework, in: International Symposium on Earth Sciences Challenges (ISEC), September 2011.
46F. Lemarié, L. Debreu, E. Blayo.

Optimized Schwarz methods in the context of ocean-atmosphere couplin, in: 20th international conference on Domain Decomposition Methods, San Diego, February 2011.
47V. Martin, E. Blayo.

Revisiting the open boundary problem in computational fluid dynamics, in: 20th international conference on Domain Decomposition Methods, San Diego, February 2011.
48A. Rousseau.

Accounting for spatial inhomogeneity in the minimal-time bioremediation of natural water resources, in: Seventh Franco-Chilean days of Optimization, Perpignan, France, December 2011.

http://hal.inria.fr/hal-00648241/en/
49A. Rousseau.

On the quasi-hydrostatic quasi-geostrophic model, in: Numerical Approximations of Hyperbolic Systems with Source Terms and Applications, Roscoff, France, September 2011.

http://hal.inria.fr/hal-00648250/en/
50J. Y. Tissot, C. Prieur.

FAST and RBD revisited, in: Accelerating Industrial Productivity via Deterministic Computer Experiments and Stochastic Simulation Experiments, Cambridge, UK, 2011.

http://www.newton.ac.uk/programmes/DAE/Tissot.pdf
51J. Verron, P. Brasseur, J. M. Brankart, E. Cosme, E. Blayo, L. Debreu, A. Vidard.

Assimilation of SARAL/AltiKa data for physical ocean prediction and ecosystem monitoring, in: Second SARAL/AltiKa Science Workshop, Ahmedabad, March 2011.
52A. Vidard, I. Souopgui, O. Titaud, F.-X. Le Dimet.

Toward Direct Data Assimilation of Image Sequences in Numerical Models, in: ICIAM2011, Vancouver, Canada, Jul 2011.

http://hal.inria.fr/hal-00648562/en/
53F. Wahl, M. Canaud, C. Helbert, L. Carraro.

Réponse fonctionnelle en cinétique : modélisation et prédiction, in: 48ème Journées de statistiques, Tunis, May 2011.

Scientific Books (or Scientific Book chapters)

54C. Prieur.

Estimation for Stochastic Damping Hamiltonian Systems, in: Dependence in probability and statistics, Luminy, France, avr 2011.
55O. Talagrand, J. Verron, E. Blayo.

Assimilation de données et climat, in: Le climat à découvert: outils et méthodes en recherche climatique, C. Jeandel, R. Mosseri (editors), CNRS, 2011, p. 141-143.

Internal Reports

56E. Bernardino, V. Maume-Deschamps, C. Prieur.

Estimating Bivariate Tail: a copula based approach, HAL, avr 2011, n^o hal-00475386v2.
57L. Debreu, E. Simon, E. Blayo.

4D variational data assimilation for locally nested models: optimality system and preliminary experiments, INRIA, Jul 2011, n^o RR-7675.

http://hal.inria.fr/inria-00607177/en
58P. Drobinski, M. Bossy, J. Morice, A. Rousseau, F. Bernardin.

Modélisation à fine échelle du vent. Rapport Final de la convention ADEME No 07 05 C 0038., INRIA - CNSR/LMD - CETE, November 2011.

http://hal.inria.fr/hal-00646422/en/
59E. Frénod, A. Rousseau.

Confinement - models and simulations, INRIA, November 2011, n^o RR-7813.

http://hal.inria.fr/hal-00644686/en/
60A. Janon, M. Nodet, C. Prieur.

Certified metamodels for sensitivity indices estimation, HAL, jul 2011, n^o inria-00609059.
61A. Janon, M. Nodet, C. Prieur.

Uncertainties assessment in global sensitivity indices estimation from metamodels, HAL, fev 2011, n^o inria-00567977.
62A. Rousseau, J. C. Mcwilliams.

On the quasi-hydrostatic quasi-geostrophic model, INRIA, February 2011, n^o RR-7531.

http://hal.inria.fr/inria-00564819/en

References in notes

63D. Auroux, J. Blum.

Back and forth nudging algorithm for data assimilation problems, in: Comptes Rendus Mathematique, June 2005, vol. 340, n^o 12, p. 873–878.
64D. Auroux, J. Fehrenbach.

Identification of velocity fields for geophysical fluids from a sequence of images, in: Exp. Fluids, 2010.

http://dx.doi.org/10.1007/s00348-010-0926-9
65D. Auroux, M. Nodet.

The Back and Forth Nudging algorithm for data assimilation problems: theoretical results on transport equations, in: Control Optimisation and Calculus of Variations, 2010.

http://hal.inria.fr/inria-00325305/en
66J.-D. Benamou, Y. Brenier.

A computational fluid mechanics solution of the Monge-Katorovich mass transfer problem, in: Numerische Mathematik, 2000, vol. 84, p. 375–393.
67C.-H. Bruneau, M. Saad.

The 2D lid-driven cavity problem revisited, in: Computers & Fluids, 2006, vol. 35, n^o 3, p. 326 - 348.

http://dx.doi.org/10.1016/j.compfluid.2004.12.004
68D. Buiron, J. Chappelllaz, B. Stenni, M. Frezzotti, M. Baumgartner, E. Capron, A. Landais, B. Lemieux-Dudon, V. Masson-Delmotte, M. Montagnat, F. Parrenin, A. Schilt.

ALDICE-1 age scale of the Talos Dome deep ice core, East Antarctica, in: Climate of the Past, 2010, submitted.
69P. Cenac, V. Maume-Deschamps, C. Prieur.

Some multivariate risk indicators; minimization by using a Kiefer–Wolfowitz approach to the mirror stochastic algorithm, HAL, May 2010, n^o hal-00484233.
70F. D'Ovidio, V. Taillandier, L. Mortier, I. Taupier-Letage.

Lagrangian validation of the Mediterranean mean dynamic topography by extraction of tracer frontal structures, in: Mercator Ocean Quarterly Newsletter, 2009, vol. 32, p. 24–32.
71L. Debreu, C. Vouland, E. Blayo.

AGRIF: Adaptive grid refinement in Fortran, in: Computers & Geosciences, 2008, vol. 34, n^o 1, p. 8 - 13. [ DOI : DOI: 10.1016/j.cageo.2007.01.009 ]

http://www.sciencedirect.com/science/article/B6V7D-4P4NPJF-1/2/ed2eb11725cebcdf66c3e06778c497ef
72F. Diedro, C. Helbert, C. De Fouquet, B. Guy.

Determination of the effect of reservoir variability on carbon dioxide storage using numerical experiments, in: Oil and gas science and technology - Revue de l'IFPEN, 2012, in submission.
73E. Frénod, E. Goubert.

A first step towards modelling confinement of paralic ecosystems, in: Ecological Modelling, jan 2007, vol. 200, n^o 1-2, p. 139–148.
74P. Gajardo, H. R. Cabrera, A. Rapaport.

Minimal-time bioremediation of natural water resources, in: Automatica, 2011.
75W. Hoeffding.

A class of statistics with asymptotically normal distribution, in: Ann. Math. Statistics, 1948, vol. 19, p. 293–325.
76B. 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, 2010, vol. 29, 8—20 p.

http://dx.doi.org/10.1016/j.quascirev.2009.11.010
77B. Lemieux-Dudon, H. Toye, E. Blayo.

Assimilation variationnelle pour la datation croisée de forages profonds en Antarctique et Groënland, in: Colloque national sur l'assimilation des données, Grenoble, France, Dec 2010.
78P. 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.
79V. Mathon, H. Laurent, T. Lebel.

Mesoscale convective system rainfall in the Sahel, in: J. Appl. Meteor., 2002, vol. 41, p. 1081–1092.
80V. Mathon, H. Laurent.

Life cycle of Sahelian mesoscale convective cloud systems, in: Quarterly Journal of the Royal Meteorological Society, 2001, vol. 127, n^o 572, p. 377–406.
81M. Nikolova, S. Esedoglu, T. F. Chan.

Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models, in: SIAM Journal on Applied Mathematics, 2006, vol. 66, n^o 5, p. 1632–1648.
82M. Nodet.

Variational assimilation of Lagrangian data in oceanography, in: Inverse Problems, January 2006, vol. 22, n^o 1, p. 245–263.
83J. Peng, J. Zhu, A. Bergamaschi, W. Hanand, D.-Y. Noh, J. R. Pollack, P. Wang.

Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer, 2010.

http://arxiv.org/abs/0812.3671v2
84S. B. Pope.

Turbulent flows, Cambridge Univ. Press, 2003.
85E. 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. Numer. Meth. Fluids, 2010.

http://dx.doi.org/10.1002/fld.2244
86I. Souopgui.

Assimilation d'images pour les fluides géophysiques, Université Joseph-Fourier - Grenoble I, Oct 2010.

http://hal.inria.fr/tel-00539626/en
87B. Stenni, D. Buiron, M. Frezzotti, S. Albani, C. Barbante, E. Bard, J. M. Barnola, M. Baroni, M. Baumgartner, M. Bonazza, E. Capron.

Expression of the bipolar see-saw in Antarctic climate records during the last deglaciation, in: Nature Geosci, 2010.

http://dx.doi.org.biblioplanets.gate.inist.fr/10.1038/ngeo1026
88C. B. Storlie, T. C. M. Lee, J. Hannig, D. Nychka.

Tracking of multiple merging and splitting targets: a statistical perspective, in: Statist. Sinica, 2009, vol. 19, n^o 1, p. 1–31.
89J.-Y. Tissot, C. Prieur.

A bias correction method for the estimation of sensitivity indices based on random balance designs, HAL, Jul 2010, n^o hal-00507526.
90O. Titaud, A. Vidard, I. Souopgui, F.-X. Le Dimet.

Assimilation of Image Sequences in Numerical Models, in: Tellus Ser A-Dyn. Meteorol. Oceanol., 2010, vol. 62, n^o 1, p. 30–47.

http://hal.inria.fr/inria-00391876
91F. 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.

http://dx.doi.org/10.1214/009053605000000660

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