Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
XML PDF e-pub
PDF e-Pub


Publications of the year

Doctoral Dissertations and Habilitation Theses

M. R. El Amri.
Uncertainty and robustness analysis for models with functional inputs and outputs, Université Grenoble Alpes, April 2019.

Articles in International Peer-Reviewed Journals

T. Capelle, P. Sturm, A. Vidard, B. Morton.
Calibration of the Tranus Land Use Module: Optimisation-Based Algorithms, their Validation, and Parameter Selection by Statistical Model Selection, in: Computers, Environment and Urban Systems, September 2019, vol. 77, pp. 101146:1-13. [ DOI : 10.1016/j.compenvurbsys.2017.04.009 ]
V. Chabot, M. Nodet, A. Vidard.
Multiscale Representation of Observation Error Statistics in Data Assimilation, in: Sensors, 2019, pp. 1-19, forthcoming.
X. Couvelard, F. Lemarié, G. Samson, J.-L. Redelsperger, F. Ardhuin, R. Benshila, G. Madec.
Development of a 2-way coupled ocean-wave model: assessment on a global NEMO(v3.6)-WW3(v6.02) coupled configuration, in: Geoscientific Model Development Discussions, August 2019, pp. 1-36. [ DOI : 10.5194/gmd-2019-189 ]
L. Debreu, N. K.-R. Kevlahan, P. Marchesiello.
Brinkman volume penalization for bathymetry in three-dimensional ocean models, in: Ocean Modelling, January 2020, vol. 145, pp. 1-13. [ DOI : 10.1016/j.ocemod.2019.101530 ]
J. Demange, L. Debreu, P. Marchesiello, F. Lemarié, E. Blayo, C. Eldred.
Stability analysis of split-explicit free surface ocean models: implication of the depth-independent barotropic mode approximation, in: Journal of Computational Physics, December 2019, vol. 398, no 108875, pp. 1-26. [ DOI : 10.1016/ ]
M. R. El Amri, C. Helbert, O. Lepreux, M. Munoz Zuniga, C. Prieur, D. Sinoquet.
Data-driven stochastic inversion via functional quantization, in: Statistics and Computing, 2019, pp. 1-17, forthcoming. [ DOI : 10.1007/s11222-019-09888-8 ]
C. Eldred, T. Dubos, E. Kritsikis.
A Quasi-Hamiltonian Discretization of the Thermal Shallow Water Equations, in: Journal of Computational Physics, February 2019, vol. 379, pp. 1-31. [ DOI : 10.1016/ ]
C. Eldred, D. Le Roux.
Dispersion analysis of compatible Galerkin schemes on quadrilaterals for shallow water models, in: Journal of Computational Physics, June 2019, vol. 387, pp. 539-568. [ DOI : 10.1016/ ]
P. Etoré, C. Prieur, D. K. Pham, L. Li.
Global sensitivity analysis for models described by stochastic differential equations, in: Methodology and Computing in Applied Probability, July 2019, pp. 1-29, [ DOI : 10.1007/s11009-019-09732-6 ]
L. Gilquin, E. Arnaud, C. Prieur, A. Janon.
Making best use of permutations to compute sensitivity indices with replicated orthogonal arrays, in: Reliability Engineering and System Safety, July 2019, vol. 187, pp. 28-39. [ DOI : 10.1016/j.ress.2018.09.010 ]
F. Lemarié, H. Burchard, L. Debreu, K. Klingbeil, J. Sainte-Marie.
Advancing dynamical cores of oceanic models across all scales, in: Bulletin of the American Meteorological Society, 2019, vol. 100, pp. ES109–ES115. [ DOI : 10.1175/BAMS-D-18-0303.1 ]
L. Li, A. Vidard, F.-X. Le Dimet, J. Ma.
Topological data assimilation using Wasserstein distance, in: Inverse Problems, January 2019, vol. 35, no 1, 015006 p. [ DOI : 10.1088/1361-6420/aae993 ]
A. W. Moore, M. J. Martin, S. Akella, H. G. Arango, M. Balmaseda, L. Bertino, S. Ciavatta, B. D. Cornuelle, J. Cummings, S. Frolov, P. Lermusiaux, P. Oddo, P. R. Oke, A. Storto, A. Teruzzi, A. Vidard, A. T. Weaver.
Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean, in: Frontiers in Marine Science, March 2019, vol. 6, no 90, pp. 1-7. [ DOI : 10.3389/fmars.2019.00090 ]
C. Prieur, L. Viry, E. Blayo, J.-M. Brankart.
A global sensitivity analysis approach for marine biogeochemical modeling, in: Ocean Modelling, July 2019, vol. 139, no 101402, pp. 1-38. [ DOI : 10.1016/j.ocemod.2019.101402 ]
L. Renault, F. Lemarié, T. Arsouze.
On the implementation and consequences of the oceanic currents feedback in ocean-atmosphere coupled models, in: Ocean Modelling, September 2019, vol. 141, 101423 p. [ DOI : 10.1016/j.ocemod.2019.101423 ]
V. Shutyaev, F.-X. Le Dimet, E. Parmuzin.
Sensitivity of response functions in variational data assimilation for joint parameter and initial state estimation, in: Journal of Computational and Applied Mathematics, 2019, pp. 1-14. [ DOI : 10.1016/ ]
K. Smetana, O. Zahm, A. T. Patera.
Randomized residual-based error estimators for parametrized equations, in: SIAM Journal on Scientific Computing, March 2019, vol. 41, no 2, pp. A900-A926, [ DOI : 10.1137/18M120364X ]
P. Tencaliec, A.-C. Favre, P. Naveau, C. Prieur, G. Nicolet.
Flexible semiparametric Generalized Pareto modeling of the entire range of rainfall amount, in: Environmetrics, 2019, pp. 1-28, forthcoming. [ DOI : 10.1002/env.2582 ]

Invited Conferences

E. Blayo.
Vers une meilleure simulation du couplage océan-atmosphère, in: 2019 - Journées Tarantola : défis en géosciences, Paris, France, June 2019.
F. Lemarié.
An overview of the ocean-atmosphere coupling, in: 2019 - Physics-Dynamics Coupling in Earth System Models, Banff, Canada, October 2019.

Conferences without Proceedings

E. Blayo, F. Lemarié, C. Pelletier, S. Théry.
Toward an improved simulation of ocean-atmosphere interactions, in: 2019 - conférence Modélisation Océan-Atmosphère, Rennes, France, September 2019.
F. Lemarié, G. Samson, X. Couvelard, G. Madec, R. Bourdallé-Badie.
Recent developments in NEMO within the Albatross project, in: DRAKKAR 2019 - Drakkar annual workshop, Grenoble, France, January 2019.
F. Lemarié, G. Samson, J.-L. Redelsperger, G. Madec, H. Giordani, R. Bourdallé-Badie.
Toward an improved representation of air-sea interactions in high-resolution global oceanic forecasting systems, in: IMMERSE 2019 - IMMERSE Kick-Off Meeting, Grenoble, France, January 2019.

Other Publications

D. Bigoni, O. Zahm, A. Spantini, Y. Marzouk.
Greedy inference with layers of lazy maps, June 2019, - 15 pages, 24 figures.
M. Billaud Friess, A. Macherey, A. Nouy, C. Prieur.
Stochastic methods for solving high-dimensional partial differential equations, May 2019, - working paper or preprint.
M. Brachet, J.-P. Chehab.
Fast and Stable Schemes for Phase Fields Models, September 2019, - working paper or preprint.
L. Debreu, E. Kazantsev.
Optimal control of grids and schemes for the inertial gravity waves equation, January 2019, working paper or preprint.
M. Hilt, L. Roblou, C. Nguyen, P. Marchesiello, F. Lemarié, S. Jullien, F. Dumas, L. Debreu, X. Capet, L. Bordois, R. Benshila, F. Auclair.
Numerical Modelling of Hydraulic Control, Solitary Waves and Primary Instabilities in the Strait of Gibraltar, December 2019, working paper or preprint.
B. Iooss, C. Prieur.
Shapley effects for sensitivity analysis with correlated inputs: comparisons with Sobol' indices, numerical estimation and applications, November 2019, - working paper or preprint.
D. Le Roux, C. Eldred, M. Taylor.
Fourier analyses of continuous and discontinuous Galerkin methods of arbitrary degree of approximation, May 2019, working paper or preprint.
F. Lemarié, H. Burchard, K. Klingbeil, L. Debreu.
Challenges and prospects for dynamical cores of oceanic models across all scales, April 2019, PDEs on the sphere, Poster.
L. Li, A. Vidard, F.-X. Le Dimet, J. Ma.
Adaptive Image Assimilation for 2D Velocity Reconstruction, July 2019, AOGS 2019 - 16th Annual Meeting Asia Oceania Geosciences Society, Poster.
K. Smetana, O. Zahm.
Randomized residual-based error estimators for the Proper Generalized Decomposition approximation of parametrized problems, October 2019, - working paper or preprint. [ DOI : 10.11837 ]
V. Trappler, E. Arnaud, A. Vidard, L. Debreu.
Robust calibration of numerical models based on relative regret, February 2020, working paper or preprint.
O. Zahm, P. Constantine, C. Prieur, Y. Marzouk.
Gradient-based dimension reduction of multivariate vector-valued functions, November 2019, - working paper or preprint.
References in notes
A. Beljaars, E. Dutra, G. Balsamo, F. Lemarié.
On the numerical stability of surface-atmosphere coupling in weather and climate models, in: Geoscientific Model Development Discussions, 2017, vol. 10, no 2, pp. 977-989. [ DOI : 10.5194/gmd-10-977-2017 ]
K. Bertin, N. Klutchnikoff, J. León, C. Prieur.
Adaptive density estimation on bounded domains under mixing conditions, December 2018, working paper or preprint.
P. Cattiaux, J. R. Leon, C. Prieur.
Estimation for Stochastic Damping Hamiltonian Systems under Partial Observation. I. Invariant density, in: Stochastic Processes and their Applications, March 2014, vol. 124, no 3, pp. 1236-1260. [ DOI : 10.1016/ ]
P. Cattiaux, J. R. Leon, C. Prieur.
Estimation for Stochastic Damping Hamiltonian Systems under Partial Observation. II Drift term, in: ALEA (Latin American Journal of Probability and Statistics), 2014, vol. 11, no 1, pp. 359-384.
P. Cattiaux, J. R. Leon, C. Prieur.
Recursive Estimation for Stochastic Damping Hamiltonian Systems, in: Journal of Nonparametric Statistics, 2015, vol. 27, no 3, pp. 401-424.
P. Cattiaux, J. R. León, A. Pineda Centeno, C. Prieur.
An overlook on statistical inference issues for stochastic damping Hamiltonian systems under the fluctuation-dissipation condition, in: Statistics, 2017, vol. 51, no 1, pp. 11-29. [ DOI : 10.1080/02331888.2016.1259807 ]
M. R. El Amri, C. Helbert, O. Lepreux, M. Munoz Zuniga, C. Prieur, D. Sinoquet.
Data-driven stochastic inversion under functional uncertainties, February 2018, working paper or preprint.
F. Gamboa, A. Janon, T. Klein, A. Lagnoux, et al. .
Sensitivity analysis for multidimensional and functional outputs, in: Electronic Journal of Statistics, 2014, vol. 8, no 1, pp. 575–603.
L. Gilquin, E. Arnaud, C. Prieur, H. Monod.
Recursive estimation procedure of Sobol' indices based on replicated designs, January 2016, working paper or preprint.
L. Gilquin.
Monte Carlo and quasi-Monte Carlo sampling methods for the estimation of Sobol' indices. Application to a LUTI model, Université Grenoble Alpes, October 2016.
D. P. Kingma, J. Ba.
Adam: A Method for Stochastic Optimization, 2014.
M. Lamboni, H. Monod, D. Makowski.
Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models, in: Reliability Engineering & System Safety, 2011, vol. 96, no 4, pp. 450–459.
F. Lemarié, E. Blayo, L. Debreu.
Analysis of ocean-atmosphere coupling algorithms : consistency and stability, in: Procedia Computer Science, 2015, vol. 51, pp. 2066–2075. [ DOI : 10.1016/j.procs.2015.05.473 ]
F. Lemarié.
Numerical modification of atmospheric models to include the feedback of oceanic currents on air-sea fluxes in ocean-atmosphere coupled models, Inria Grenoble - Rhône-Alpes ; Laboratoire Jean Kuntzmann ; Universite de Grenoble I - Joseph Fourier ; Inria, August 2015, no RT-0464.
F. Lemarié.
On the discretization of vertical diffusion in the turbulent surface and planetary boundary layers, in: PDC 2018 - 3rd workshop on Physics Dynamics Coupling, Reading, United Kingdom, July 2018.
J. R. Leon, A. Samson.
Hypoelliptic stochastic FitzHugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate, in: Annals of Applied Probability, 2017.
V. Oerder, F. Colas, V. Echevin, S. Masson, F. Lemarié.
Impacts of the Mesoscale Ocean-Atmosphere Coupling on the Peru-Chile Ocean Dynamics: The Current-Induced Wind Stress Modulation, in: Journal of Geophysical Research. Oceans, February 2018, vol. 123, no 2, pp. 812-833. [ DOI : 10.1002/2017JC013294 ]
A. B. Owen.
Sobol' indices and Shapley value, in: Journal on Uncertainty Quantification, 2014, vol. 2, pp. 245–251.
A. B. Owen, C. Prieur.
On Shapley value for measuring importance of dependent inputs, in: SIAM/ASA Journal on Uncertainty Quantification, September 2017, vol. 51, no 1, pp. 986–1002. [ DOI : 10.1137/16M1097717 ]
C. Pelletier, F. Lemarié, É. Blayo.
A theoretical study of a simplified air-sea coupling problem including turbulent parameterizations, in: COUPLED PROBLEMS 2017 - VII International Conference on Computational Methods for Coupled Problems in Science and Engineering, Rhodes, Greece, M. Papadrakakis, E. Oñate, B. Schrefler (editors), International Center for Numerical Methods in Engineering (CIMNE) , June 2017, pp. 38-49.
C. Pelletier, F. Lemarié, É. Blayo.
Sensitivity analysis and metamodels for the bulk parameterization of turbulent air-sea fluxes, in: Quarterly Journal of the Royal Meteorological Society, December 2017. [ DOI : 10.1002/qj.3233 ]
E. Plischke, E. Borgonovo, C. L. Smith.
Global sensitivity measures from given data, in: European Journal of Operational Research, 2013, vol. 226, no 3, pp. 536–550.
E. Plischke.
An effective algorithm for computing global sensitivity indices (EASI), in: Reliability Engineering & System Safety, 2010, vol. 95, no 4, pp. 354–360.
E. Song, B. L. Nelson, J. Staum.
Shapley Effects for Global Sensitivity Analysis: Theory and Computation, Northwestern University, 2015.
S. Théry.
Algorithmes de Schwarz et conditions absorbantes pour le couplage océan-atmosphère, in: CANUM 2018 - 44e Congrès National d'Analyse Numérique, Cap d'Agde, France, May 2018.