Project Team Moise

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
PDF e-pub XML


Bibliography

Publications of the year

Articles in International Peer-Reviewed Journal

[1]
A. Antoniadis, C. Helbert, C. Prieur, L. Viry.
Spatio-temporal metamodeling for West African monsoon, in: Environmetrics, 2011.
http://hal.inria.fr/hal-00551303/en
[2]
D. 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
[3]
P. 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.
[4]
E. 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
[5]
F. Gamboa, T. Klein, C. Prieur.
Conditional large and moderate deviations for sums of discrete random variables. Combinatoric applications, in: Bernoulli, 2011.
[6]
M. 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, no 3, p. 659–672. [ DOI : 10.5194/tc-5-659-2011 ]
http://hal.inria.fr/inria-00594996/en
[7]
E. 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.
[8]
E. Kazantsev.
Optimal Boundary Discretisation by Variational Data Assimilation., in: Int. J. for Numerical Methods in Fluids, 2011, vol. 65, no 10, p. 1231-1259, doi: 10.1002/fld.2240.
http://hal.inria.fr/inria-00388862/fr/
[9]
E. 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/
[10]
M. 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.
[11]
O. 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, no 4.
[12]
L. 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.
[13]
N. 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.
[14]
N. Papadakis, A. Bugeau.
Tracking with Occlusions via Graph Cuts, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2011, vol. 33, no 1, p. 144 -157. [ DOI : 10.1109/TPAMI.2010.56 ]
http://hal.inria.fr/hal-00522633
[15]
N. Papadakis, P. Edoardo, V. Caselles.
A Variational Model for Histogram Transfer of Color Images, in: IEEE Transactions on Image Processing, Jun 2011, vol. 20, no 6, p. 1682 - 1695.
http://hal.inria.fr/hal-00596053/en
[16]
V. 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.
[17]
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, 2011, vol. 66, p. 135-161.

Invited Conferences

[18]
C. 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.
[19]
F.-X. Le Dimet.
Assimilation d’images et turbulence, in: Inverse Problems, conference in honnor of Jacques Blum, Nice, June 2011.
[20]
M. Nodet.
Introduction to Data Assimilation, in: EFIDIR Spring School, Les Houches, Chamonix, France, May 2011.
http://hal.inria.fr/inria-00632846/en
[21]
M. Nodet.
Introduction to data assimilation, in: JSTAR'11, Rennes, France, October 2011.
http://hal.inria.fr/hal-00645806/en
[22]
M. Nodet.
Introduction to Data Assimilation, in: Inversion et Assimilation d'Images, Paris, France, June 2011.
http://hal.inria.fr/inria-00632847/en
[23]
C. Prieur.
Méthodes stochatiques d'analyse de sensibilité globale, in: Méthodes d'Analyse de Sensibilité, Grenoble, France, Atelier Modlisation du Cluster Environnement, oct 2011.
[24]
C. Prieur.
Mixing properties of dynamical systems, in: Workshop in honor of Professor J. R. Leon, Venezuela, nov 2011.
[25]
C. 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.
[26]
A. Rousseau.
Quasi-Hydrostatic Ocean Models, in: Numerical Mathematics on Challenging problems, Tunis, Tunisie, June 2011.
http://hal.inria.fr/hal-00648237/en/
[27]
A. 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/
[28]
A. 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

[29]
A. 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
[30]
E. 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

[31]
E. Blayo, A. Rousseau.
Mini-symposium : Couplage de modèles en hydrodynamique, in: SMAI 2011, Guidel, France, May 2011.
http://hal.inria.fr/hal-00648424/en/
[32]
B. 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
[33]
B. 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
[34]
C. 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/
[35]
H. 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.
[36]
F. 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
[37]
F. 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
[38]
A. 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
[39]
A. 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
[40]
A. 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.
[41]
A. 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
[42]
M. 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
[43]
F.-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.
[44]
F.-X. Le Dimet, I. Souopgui, A. Vidard.
Toward the Assimilation of Images, in: AMS Annual Meeting, Seattle, USA, Jan 2011.
[45]
F.-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.
[46]
F. 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.
[47]
V. Martin, E. Blayo.
Revisiting the open boundary problem in computational fluid dynamics, in: 20th international conference on Domain Decomposition Methods, San Diego, February 2011.
[48]
A. 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/
[49]
A. 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/
[50]
J. 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
[51]
J. 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.
[52]
A. 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/
[53]
F. 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)

[54]
C. Prieur.
Estimation for Stochastic Damping Hamiltonian Systems, in: Dependence in probability and statistics, Luminy, France, avr 2011.
[55]
O. 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

[56]
E. Bernardino, V. Maume-Deschamps, C. Prieur.
Estimating Bivariate Tail: a copula based approach, HAL, avr 2011, no hal-00475386v2.
[57]
L. Debreu, E. Simon, E. Blayo.
4D variational data assimilation for locally nested models: optimality system and preliminary experiments, INRIA, Jul 2011, no RR-7675.
http://hal.inria.fr/inria-00607177/en
[58]
P. 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/
[59]
E. Frénod, A. Rousseau.
Confinement - models and simulations, INRIA, November 2011, no RR-7813.
http://hal.inria.fr/hal-00644686/en/
[60]
A. Janon, M. Nodet, C. Prieur.
Certified metamodels for sensitivity indices estimation, HAL, jul 2011, no inria-00609059.
[61]
A. Janon, M. Nodet, C. Prieur.
Uncertainties assessment in global sensitivity indices estimation from metamodels, HAL, fev 2011, no inria-00567977.
[62]
A. Rousseau, J. C. Mcwilliams.
On the quasi-hydrostatic quasi-geostrophic model, INRIA, February 2011, no RR-7531.
http://hal.inria.fr/inria-00564819/en
References in notes
[63]
D. Auroux, J. Blum.
Back and forth nudging algorithm for data assimilation problems, in: Comptes Rendus Mathematique, June 2005, vol. 340, no 12, p. 873–878.
[64]
D. 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
[65]
D. 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
[66]
J.-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.
[67]
C.-H. Bruneau, M. Saad.
The 2D lid-driven cavity problem revisited, in: Computers & Fluids, 2006, vol. 35, no 3, p. 326 - 348.
http://dx.doi.org/10.1016/j.compfluid.2004.12.004
[68]
D. 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.
[69]
P. 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, no hal-00484233.
[70]
F. 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.
[71]
L. Debreu, C. Vouland, E. Blayo.
AGRIF: Adaptive grid refinement in Fortran, in: Computers & Geosciences, 2008, vol. 34, no 1, p. 8 - 13. [ DOI : DOI: 10.1016/j.cageo.2007.01.009 ]
http://www.sciencedirect.com/science/article/B6V7D-4P4NPJF-1/2/ed2eb11725cebcdf66c3e06778c497ef
[72]
F. 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.
[73]
E. Frénod, E. Goubert.
A first step towards modelling confinement of paralic ecosystems, in: Ecological Modelling, jan 2007, vol. 200, no 1-2, p. 139–148.
[74]
P. Gajardo, H. R. Cabrera, A. Rapaport.
Minimal-time bioremediation of natural water resources, in: Automatica, 2011.
[75]
W. Hoeffding.
A class of statistics with asymptotically normal distribution, in: Ann. Math. Statistics, 1948, vol. 19, p. 293–325.
[76]
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, 2010, vol. 29, 8—20 p.
http://dx.doi.org/10.1016/j.quascirev.2009.11.010
[77]
B. 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.
[78]
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, no 3-4, p. 156-169.
[79]
V. Mathon, H. Laurent, T. Lebel.
Mesoscale convective system rainfall in the Sahel, in: J. Appl. Meteor., 2002, vol. 41, p. 1081–1092.
[80]
V. Mathon, H. Laurent.
Life cycle of Sahelian mesoscale convective cloud systems, in: Quarterly Journal of the Royal Meteorological Society, 2001, vol. 127, no 572, p. 377–406.
[81]
M. 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, no 5, p. 1632–1648.
[82]
M. Nodet.
Variational assimilation of Lagrangian data in oceanography, in: Inverse Problems, January 2006, vol. 22, no 1, p. 245–263.
[83]
J. 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
[84]
S. B. Pope.
Turbulent flows, Cambridge Univ. Press, 2003.
[85]
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. Numer. Meth. Fluids, 2010.
http://dx.doi.org/10.1002/fld.2244
[86]
I. Souopgui.
Assimilation d'images pour les fluides géophysiques, Université Joseph-Fourier - Grenoble I, Oct 2010.
http://hal.inria.fr/tel-00539626/en
[87]
B. 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
[88]
C. 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, no 1, p. 1–31.
[89]
J.-Y. Tissot, C. Prieur.
A bias correction method for the estimation of sensitivity indices based on random balance designs, HAL, Jul 2010, no hal-00507526.
[90]
O. 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, no 1, p. 30–47.
http://hal.inria.fr/inria-00391876
[91]
F. Yao, H.-G. Müller, J.-L. Wang.
Functional linear regression analysis for longitudinal data, in: Ann. Statist., 2005, vol. 33, no 6, p. 2873–2903.
http://dx.doi.org/10.1214/009053605000000660