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Number of documents

36

mes publis

Thèmes de recherche

Modélisation inverse pour l’environnement.
Plus particulièrement :

  • Problèmes inverses et assimilation de données pour l’océan : méthode variationnelle, interpolation optimale
  • Assimilation de données lagrangiennes et de séquences d’images : méthode adjointe, contrôle optimal, océanographie, météorologie.
  • Analyse de sensibilité variationnelle : méthodes adjointes
  • Contrôle de paramètres : contrôle optimal

Journal articles30 documents

  • Victor Trappler, Elise Arnaud, Arthur Vidard, Laurent Debreu. Robust calibration of numerical models based on relative regret. Journal of Computational Physics, Elsevier, 2020, pp.109952. ⟨10.1016/j.jcp.2020.109952⟩. ⟨hal-02464780v3⟩
  • Vincent Chabot, Maëlle Nodet, Arthur Vidard. Multiscale Representation of Observation Error Statistics in Data Assimilation. Sensors, MDPI, 2020, 20 (5), pp.1-20. ⟨10.3390/s20051460⟩. ⟨hal-02421699v2⟩
  • Long Li, Arthur Vidard, François-Xavier Le Dimet, Jianwei Ma. Topological data assimilation using Wasserstein distance. Inverse Problems, IOP Publishing, 2019, 35 (1), pp.015006. ⟨10.1088/1361-6420/aae993⟩. ⟨hal-01960206⟩
  • Thomas Capelle, Peter Sturm, Arthur Vidard, Brian Morton. Calibration of the Tranus Land Use Module: Optimisation-Based Algorithms, their Validation, and Parameter Selection by Statistical Model Selection. Computers, Environment and Urban Systems, Elsevier, 2019, 77, pp.101146:1-13. ⟨10.1016/j.compenvurbsys.2017.04.009⟩. ⟨hal-01519654⟩
  • Andrew Moore, Matthew Martin, Santha Akella, Hernan Arango, Magdalena Balmaseda, et al.. Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean. Frontiers in Marine Science, Frontiers Media, 2019, 6 (90), pp.1-7. ⟨10.3389/fmars.2019.00090⟩. ⟨hal-02421672⟩
  • Nelson Feyeux, Arthur Vidard, Maëlle Nodet. Optimal transport for variational data assimilation. Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2018, 25 (1), pp.55-66. ⟨10.5194/npg-25-55-2018⟩. ⟨hal-01342193v2⟩
  • Roberto Buizza, Stefan Brönnimann, Leopold Haimberger, Patrick Laloyaux, Matthew J. Martin, et al.. The EU-FP7 ERA-CLIM2 project contribution to advancing science and production of Earth-system climate reanalyses. Bulletin of the American Meteorological Society, American Meteorological Society, 2017, 99 (5), pp.1003-1014. ⟨10.1175/BAMS-D-17-0199.1⟩. ⟨hal-01661240⟩
  • Long Li, François-Xavier Le Dimet, Jianwei Ma, Arthur Vidard. A level-set based image assimilation method: Potential applications for predicting the movement of oil spills. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (11), pp.6330-6343. ⟨10.1109/TGRS.2017.2726013⟩. ⟨hal-01411878⟩
  • Victor Shutyaev, Igor Gejadze, Arthur Vidard, Francois-Xavier Le Dimet. Optimal solution error quantification in variational data assimilation involving imperfect models. International Journal for Numerical Methods in Fluids, Wiley, 2017, 83 (3), pp.276-290. ⟨10.1002/fld.4266⟩. ⟨hal-01411666⟩
  • Laurent Debreu, Emilie Neveu, Ehouarn Simon, François-Xavier Le Dimet, Arthur Vidard. Multigrid solvers and multigrid preconditioners for the solution of variational data assimilation problems. Quarterly Journal of the Royal Meteorological Society, Wiley, 2016, 142 (694), pp.515-528. ⟨10.1002/qj.2676⟩. ⟨hal-01246349⟩
  • Victor Shutyaev, Arthur Vidard, François-Xavier Le Dimet, Igor Gejadze. On model error in variational data assimilation. Russian Journal of Numerical Analysis and Mathematical Modelling, De Gruyter, 2016, 31 (2), pp.105-113. ⟨10.1515/rnam-2016-0011⟩. ⟨hal-01309018⟩
  • Innocent Souopgui, Hans Emmanuel Ngodock, Arthur Vidard, François-Xavier Le Dimet. Incremental projection approach of regularization for inverse problems. Applied Mathematics and Optimization, Springer Verlag (Germany), 2016, 74 (2), pp.303-324. ⟨10.1007/s00245-015-9315-3⟩. ⟨hal-01205235⟩
  • Vincent Chabot, Maëlle Nodet, Nicolas Papadakis, Arthur Vidard. Accounting for observation errors in image data assimilation. Tellus A, Co-Action Publishing, 2015, 67 (23629), pp.19. ⟨10.3402/tellusa.v67.23629⟩. ⟨hal-00923735v3⟩
  • Arthur Vidard, Pierre-Antoine Bouttier, Franck Vigilant. NEMOTAM: tangent and adjoint models for the ocean modelling platform NEMO. Geoscientific Model Development, European Geosciences Union, 2015, 8, pp.1245-1257. ⟨10.5194/gmd-8-1245-2015⟩. ⟨insu-01164710⟩
  • Thomas Capelle, Peter Sturm, Arthur Vidard. Formulating LUTI Calibration as an Optimisation Problem: Example of Tranus Shadow Price Estimation. Procedia Engineering, Elsevier, 2015, Toward integrated modelling of urban systems, 115, pp.12-20. ⟨10.1016/j.proeng.2015.07.349⟩. ⟨hal-01237639⟩
  • Pierre-Antoine Bouttier, Eric Blayo, Jean-Michel Brankart, Pierre Brasseur, Emmanuel Cosme, et al.. Toward a data assimilation system for NEMO. Mercator Ocean Quarterly Newsletter, Mercator Ocean, 2012, pp.24-30. ⟨hal-00945600⟩
  • Olivier Titaud, Arthur Vidard, Innocent Souopgui, François-Xavier Le Dimet. Assimilation of Image Sequences in Numerical Models. Tellus A, Co-Action Publishing, 2010, 62 (1), pp.30-47. ⟨10.1111/j.1600-0870.2009.00416.x⟩. ⟨inria-00391876⟩
  • François-Xavier Le Dimet, Innocent Souopgui, Olivier Titaud, Arthur Vidard. Models, Data and Images for Predicting the Evolution of Geophysical Fluids. Acta Mathematica Vietnamica, Springer Singapore, 2009, 34 (1), pp.37-47. ⟨inria-00326125⟩
  • Arthur Vidard, Magdalena Balmaseda, David Anderson. Assimilation of altimeter data in the ECMWF ocean analysis system 3. Monthly Weather Review, American Meteorological Society, 2009, 137 (4), pp.1393-1408. ⟨10.1175/2008MWR2668.1⟩. ⟨inria-00325685⟩
  • Magdalena Balmaseda, Arthur Vidard, David Anderson. The ECMWF Ocean Analysis System: ORA-S3. Monthly Weather Review, American Meteorological Society, 2008, 136 (8), pp.3018-3034. ⟨10.1175/2008MWR2433.1⟩. ⟨inria-00182186⟩
  • Magdalena Balmaseda, Gregory Smith, Keith Haines, David Anderson, Tim Palmer, et al.. Historical reconstruction of the Atlantic Meridional Overturning Circulation from the ECMWF operational ocean reanalysis. Geophysical Research Letters, American Geophysical Union, 2007, 34 (23), pp.L23615. ⟨10.1029/2007GL031645⟩. ⟨inria-00181739⟩
  • Magdalena Balmaseda, David Anderson, Arthur Vidard. Impact of ARGO on analyses of the global ocean. Geophysical Research Letters, American Geophysical Union, 2007, 34 (16), pp.L16605:1-6. ⟨10.1029/2007GL030452⟩. ⟨inria-00181749⟩
  • Arthur Vidard, David Anderson, Magdalena Balmaseda. Impact of Ocean Observation Systems on Ocean Analysis and Seasonal Forecasts. Monthly Weather Review, American Meteorological Society, 2007, 135 (2), pp.409-429. ⟨10.1175/MWR3310.1⟩. ⟨inria-00176154⟩
  • Magdalena Balmaseda, Dick Dee, Arthur Vidard, David Anderson. A Multivariate Treatment of Bias for Sequential Data Assimilation: Application to the Tropical Oceans. Quarterly Journal of the Royal Meteorological Society, Wiley, 2007, 133 (622), pp.167-179. ⟨10.1002/qj.12⟩. ⟨inria-00176159⟩
  • Keith Haines, J. D. Blower, Jean-Philippe Drécourt, C. Liu, Arthur Vidard, et al.. Salinity Assimilation Using S(T): Covariance Relationships. Monthly Weather Review, American Meteorological Society, 2006, 134 (3), pp.759--771. ⟨inria-00325632⟩
  • Tim Stockdale, Magdalena Balmaseda, Arthur Vidard. Tropical Atlantic SST prediction with coupled ocean-atmosphere GCMs. J. Climate, 2006, 19 (23), pp.6047-6061. ⟨hal-00171446⟩
  • Michael Davey, Matt Huddleston, Bruce Ingleby, Keith Haines, Pierre-Yves Le Traon, et al.. Multi-model multi-method multi-decadal ocean analyses from the ENACT project. CLIVAR Exchanges, 2006, 11 (3), pp.22-25. ⟨hal-00171445⟩
  • Arthur Vidard, Andrea Piacentini, François-Xavier Le Dimet. Variational data analysis with control of the forecast bias. Tellus A, Co-Action Publishing, 2004, 56 (3), pp.177--188. ⟨inria-00325592⟩
  • Arthur Vidard, François-Xavier Le Dimet, Andrea Piacentini. Optimal Determination Of Nudging Coefficients. Tellus A, Co-Action Publishing, 2003, 55 (1), pp.1--15. ⟨inria-00325360⟩
  • Arthur Vidard, Eric Blayo, François-Xavier Le Dimet, Andrea Piacentini. 4D Variational Data Analysis with Imperfect Model. Flow, Turbulence and Combustion, Springer Verlag (Germany), 2000, 65 (3), pp.489--504. ⟨inria-00325356⟩

Book sections4 documents

  • Maelle Nodet, Arthur Vidard. Variational methods. Handbook of Uncertainty Quantification, Springer International Publishing, pp.1-20, 2016, 978-3-319-11259-6. ⟨10.1007/978-3-319-11259-6_32-1⟩. ⟨hal-01251720⟩
  • Arthur Vidard, Olivier Titaud. Assimilation of Images. Eric Blayo; Marc Bocquet; Emmanuel Cosme; Leticia F. Cugliandolo. Advanced Data Assimilation for Geosciences, Oxford University Press, pp.20, 2014, Lecture Notes of the Les Houches Summer School, 9780198723844. ⟨hal-01099711⟩
  • David Anderson, Magdalena Balmaseda, Arthur Vidard. The ECMWF Perspective.. E. Chassignet et J. Verron. Ocean Weather Forecasting. An Integrated View of Oceanography., Chapitre 13, Springer, 2006. ⟨inria-00325606⟩
  • Eric Blayo, Sophie Durbiano, Arthur Vidard, François-Xavier Le Dimet. Reduced order strategies for variational data assimilation in oceanic models.. Bruno Sportisse and François-Xavier Le Dimet. Data Assimilation for Geophysical Flows., Springer-Verlag, 2003. ⟨inria-00325368⟩

Theses1 document

  • Arthur Vidard. Vers une prise en compte des erreurs-modèle en assimilation de données 4D-variationnelle.
    Application à un modèle réaliste d'océan. Mathématiques [math]. Université Joseph-Fourier - Grenoble I, 2001. Français. ⟨tel-00325349⟩

Habilitation à diriger des recherches1 document

  • Arthur Vidard. Assimilation de données et méthodes adjointes pour la géophysique. Optimisation et contrôle [math.OC]. Université de Grenoble, 2012. ⟨tel-00939130⟩