R. Balgovind, A. Dalcher, M. Ghil, and E. Kalnay, A Stochastic-Dynamic Model for the Spatial Structure of Forecast Error Statistics, Monthly Weather Review, vol.111, issue.4, pp.701-722, 1983.
DOI : 10.1175/1520-0493(1983)111<0701:ASDMFT>2.0.CO;2

M. Bocquet, Toward Optimal Choices of Control Space Representation for Geophysical Data Assimilation, Monthly Weather Review, vol.137, issue.7, pp.2331-2348, 2009.
DOI : 10.1175/2009MWR2789.1

URL : https://hal.archives-ouvertes.fr/inria-00566025

M. Bocquet and L. Wu, Bayesian design of control space for optimal assimilation of observations. Part II: Asymptotic solutions, Quarterly Journal of the Royal Meteorological Society, vol.111, issue.658, pp.1357-1368, 2011.
DOI : 10.1002/qj.841

URL : https://hal.archives-ouvertes.fr/inria-00632593

M. Bocquet, L. Wu, and F. Chevallier, Bayesian design of control space for optimal assimilation of observations. Part I: Consistent multiscale formalism, Quarterly Journal of the Royal Meteorological Society, vol.136, issue.658, pp.1340-1356, 2011.
DOI : 10.1002/qj.837

URL : https://hal.archives-ouvertes.fr/inria-00632593

P. Bousquet, P. Peylin, P. Ciais, C. L. Quéré, P. Friedlingstein et al., Regional changes in carbon dioxide fluxes of land and oceans since, Science, issue.5495, pp.290-1342, 1980.

C. Carouge, P. J. Rayner, P. Peylin, P. Bousquet, F. Chevallier et al., What can we learn from European continuous atmospheric CO<sub>2</sub> measurements to quantify regional fluxes ??? Part 2: Sensitivity of flux accuracy to inverse setup, Atmospheric Chemistry and Physics, vol.10, issue.6, pp.3119-3129, 2010.
DOI : 10.5194/acp-10-3119-2010

F. Chevallier, N. Viovy, M. Reichstein, and P. Ciais, On the assignment of prior errors in Bayesian inversions of CO 2 surface fluxes, Geophys. Res. Lett, pp.10-1029, 2006.

F. Chevallier, F. ?. Bréon, and P. J. Rayner, Contribution of the orbiting carbon observatory to the estimation of CO 2 sources and sinks: Theoretical study in a variational data assimilation framework, J. Geophys. Res, vol.112, pp.930710-1029, 2007.

I. G. Enting, Inverse Problems in Atmospheric Constituent Transport, 2002.
DOI : 10.1017/CBO9780511535741

S. Fan, M. Gloor, J. Mahlman, S. Pacala, J. Sarmiento et al., A Large Terrestrial Carbon Sink in North America Implied by Atmospheric and Oceanic Carbon Dioxide Data and Models, Science, vol.282, issue.5388, pp.282-442, 1998.
DOI : 10.1126/science.282.5388.442

C. Gerbig, J. C. Lin, S. C. Wofsy, B. C. Daube, A. E. Andrews et al., Toward constraining regional? scale fluxes of CO 2 with atmospheric observations over a continent: 2. Analysis of COBRA data using a receptor?oriented framework, J. Geophys. Res, vol.108, issue.D24, p.475710, 1029.

C. Gerbig, J. C. Lin, J. W. Munger, and S. C. Wofsy, What can tracer observations in the continental boundary layer tell us about surface-atmosphere fluxes?, Atmospheric Chemistry and Physics, vol.6, issue.2, pp.539-554, 2006.
DOI : 10.5194/acp-6-539-2006

URL : https://hal.archives-ouvertes.fr/hal-00295849

S. M. Gourdji, A. I. Hirsch, K. L. Mueller, A. E. Andrews, and A. M. Michalak, Regional-scale geostatistical inverse modeling of North American CO<sub>2</sub> fluxes: a synthetic data study, Atmospheric Chemistry and Physics, vol.10, issue.13, pp.6151-6167, 2010.
DOI : 10.5194/acp-10-6151-2010

T. Kaminski, P. J. Rayner, M. Heimann, and I. G. Enting, On aggregation errors in atmospheric transport inversions, Journal of Geophysical Research: Atmospheres, vol.271, issue.D5, pp.4703-4715, 2001.
DOI : 10.1029/2000JD900581

T. Lauvaux, Mesoscale inversion: first results from the CERES campaign with synthetic data, Atmospheric Chemistry and Physics, vol.8, issue.13, pp.3459-3471, 2008.
DOI : 10.5194/acp-8-3459-2008

URL : https://hal.archives-ouvertes.fr/hal-00328218

T. Lauvaux, Bridging the gap between atmospheric concentrations and local ecosystem measurements, Geophysical Research Letters, vol.247, issue.19, pp.10-1029, 2009.
DOI : 10.1029/2009GL039574

URL : https://hal.archives-ouvertes.fr/ird-00406789

R. M. Law, P. J. Rayner, L. P. Steele, and I. G. Enting, Data and modelling requirements for CO2 inversions using high-frequency data, Tellus B, vol.106, issue.4, pp.512-521, 2003.
DOI : 10.1016/S0967-0645(02)00003-6

J. C. Lin, C. Gerbig, S. C. Wofsy, A. E. Andrews, B. C. Daube et al., A near-field tool for simulating the upstream influence of atmospheric observations: The Stochastic Time-Inverted Lagrangian Transport (STILT) model, Journal of Geophysical Research, vol.108, issue.D16, p.449310, 1029.
DOI : 10.1029/2002JD003161

E. Lokupitiya, Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands, Biogeosciences, vol.6, issue.6, pp.969-986, 2009.
DOI : 10.5194/bg-6-969-2009

A. Michalak, L. Bruhwiler, and P. Tans, A geostatistical approach to surface flux estimation of atmospheric trace gases, Journal of Geophysical Research, vol.34, issue.6, pp.10-1029, 2004.
DOI : 10.1029/2003JD004422

W. Peters, An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker, Proceedings of the National Academy of Sciences, vol.104, issue.48, pp.925-18930, 2007.
DOI : 10.1073/pnas.0708986104

P. Peylin, P. Bousquet, and P. Ciais, Inverse modeling of atmospheric carbon dioxide fluxes ? Response, Science, issue.5550, pp.294-2292, 2001.

P. Peylin, P. J. Rayner, P. Bousquet, C. Carouge, F. Hourdin et al., Daily CO<sub>2</sub> flux estimates over Europe from continuous atmospheric measurements: 1, inverse methodology, Daily CO 2 flux estimates over Europe from continuous atmospheric measurements: 1. Inverse methodology, pp.3173-3186, 2005.
DOI : 10.5194/acp-5-3173-2005

C. A. Pickett?heaps, Atmospheric CO 2 inversion validation using vertical profile measurements: Analysis of four independent inversion models, J. Geophys. Res, pp.10-1029, 2011.

C. Rödenbeck, S. Houweling, M. Gloor, and M. Heimann, CO<sub>2</sub> flux history 1982???2001 inferred from atmospheric data using a global inversion of atmospheric transport, Atmospheric Chemistry and Physics, vol.3, issue.6, pp.1919-1964, 2003.
DOI : 10.5194/acp-3-1919-2003

P. Saide, M. Bocquet, A. Osses, and L. Gallardo, Constraining surface emissions of air pollutants using inverse modeling: method intercomparison and a new two?step two?scale regularization approach, pp.360-370, 2011.

A. E. Schuh, A. S. Denning, K. D. Corbin, I. T. Baker, M. Uliasz et al., A regional high?resolution carbon flux inversion of North America for, Biogeosciences, issue.5, pp.7-1625, 2004.

P. Seibert and A. Frank, Source-receptor matrix calculation with a Lagrangian particle dispersion model in backward mode, Atmospheric Chemistry and Physics, vol.4, issue.1, pp.51-63, 2004.
DOI : 10.5194/acp-4-51-2004

URL : https://hal.archives-ouvertes.fr/hal-00295385

L. F. Tolk, A. G. Meesters, A. J. Dolman, and W. Peters, Modelling representation errors of atmospheric CO<sub>2</sub> mixing ratios at a regional scale, Atmospheric Chemistry and Physics, vol.8, issue.22, pp.6587-6596, 2008.
DOI : 10.5194/acp-8-6587-2008

M. Uliasz, Lagrangian particle dispersion modeling in mesoscale applications, in Environmental Modeling II, Comput. Mech, pp.71-102, 1994.

F. Chevallier, Laboratoire des Sciences du Climat et de l