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

F. Bouttier and P. Courtier, Data assimilation concepts and methods, Meteorological training course lecture series, 1999.

M. Buehner, P. L. Houtekamer, C. Charette, H. L. Mitchell, and B. He, Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part II: One-Month Experiments with Real Observations, Monthly Weather Review, vol.138, issue.5, pp.567-1586, 2010.
DOI : 10.1175/2009MWR3158.1

N. Cesa-bianchi, Analysis of two gradient-based algorithms for on-line regression, Proceedings of the tenth annual conference on Computational learning theory , COLT '97, pp.392-411, 1999.
DOI : 10.1145/267460.267492

N. Cesa-bianchi and G. Lugosi, Prediction, learning, and games, 2006.
DOI : 10.1017/CBO9780511546921

S. E. Cohn, An introduction to estimation theory, Journal of the Meteorological Society of Japan, vol.75, issue.1B, pp.257-288, 1997.

R. Daley, Atmospheric data analysis, La M??t??orologie, vol.8, issue.9, 1993.
DOI : 10.4267/2042/51948

H. Elbern and H. Schmidt, Ozone episode analysis by fourdimensional variational chemistry data assimilation, Journal of Geophysical Research, vol.106590, issue.3, pp.569-572, 2001.

G. Evensen, Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics, Journal of Geophysical Research, vol.99, issue.10, pp.143-10162, 1994.

D. Garaud and V. Mallet, Automatic generation of large ensembles for air quality forecasting using the Polyphemus system, Geoscientific Model Development, pp.69-85, 2010.

S. Gerchinovitz, V. Mallet, and G. Stoltz, A further look at sequential aggregation rules for ozone ensemble forecasting, 2008.

L. W. Horowitz, A global simulation of tropospheric ozone and related tracers: description and evaluation of MOZART, Journal of Geophysical Research, vol.108, issue.2, 2003.

T. N. Krishnamurti, C. M. Kishtawal, Z. Zhang, D. B. Larow, and E. Williford, Multimodel Ensemble Forecasts for Weather and Seasonal Climate, Journal of Climate, vol.13, issue.23, pp.196-200, 2000.
DOI : 10.1175/1520-0442(2000)013<4196:MEFFWA>2.0.CO;2

L. Dimet, F. , and O. Talagrand, Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects, Tellus A, vol.109, issue.2, pp.97-110, 1986.
DOI : 10.1111/j.1600-0870.1986.tb00459.x

J. Louis, A parametric model of vertical eddy fluxes in the atmosphere, Boundary-Layer Meteorology, pp.187-202, 1979.

V. Mallet and B. Sportisse, Ensemble-based air quality forecasts: A multimodel approach applied to ozone, Journal of Geophysical Research, vol.3, issue.D22, 2006.
DOI : 10.1029/2005JD006675
URL : https://hal.archives-ouvertes.fr/hal-00650980

V. Mallet, B. Mauricette, and G. Stoltz, Description of sequential aggregation methods and their performances for ozone ensemble forecasting, 2007.

V. Mallet, G. Stoltz, and B. Mauricette, Ozone ensemble forecast with machine learning algorithms, Journal of Geophysical Research, vol.41, issue.1, 2009.
DOI : 10.1029/2008JD009978
URL : https://hal.archives-ouvertes.fr/inria-00565770

V. Mallet, Technical Note: The air quality modeling system Polyphemus, Atmospheric Chemistry and Physics, vol.7487, issue.5, pp.479-484, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00328079

R. Ménard, S. E. Cohn, L. Chang, and P. M. Lyster, Assimilation of Stratospheric Chemical Tracer Observations Using a Kalman Filter. Part I: Formulation, Monthly Weather Review, vol.128, issue.8, pp.654-2671, 2000.
DOI : 10.1175/1520-0493(2000)128<2654:AOSCTO>2.0.CO;2

P. Middleton, W. R. Stockwell, and W. P. Carter, Aggregation and analysis of volatile organic compound emissions for regional modeling, Atmospheric Environment. Part A. General Topics, vol.24, issue.5, pp.107-1133, 1990.
DOI : 10.1016/0960-1686(90)90077-Z

M. Pagowski, Application of dynamic linear regression to improve the skill of ensemble-based deterministic ozone forecasts, Atmospheric Environment, vol.40, issue.18, pp.240-243, 2006.
DOI : 10.1016/j.atmosenv.2006.02.006

D. Simpson, Inventorying emissions from nature in Europe, Journal of Geophysical Research: Atmospheres, vol.4, issue.1, pp.113-121, 1999.
DOI : 10.1029/98JD02747

W. R. Stockwell, F. Kirchner, M. Kuhn, and S. Seefeld, A new mechanism for regional atmospheric chemistry modeling, Journal of Geophysical Research: Atmospheres, vol.25, issue.D22, pp.847-872, 1997.
DOI : 10.1029/97JD00849

R. Todling, Estimation theory and foundations of atmospheric data assimilation, Note Series on Global Modeling and Data Assimilation 1999-01, 1999.

I. Troen and L. Mahrt, A simple model of the atmospheric boundary layer; sensitivity to surface evaporation, Boundary- Layer Meteorology, pp.129-148, 1986.

L. Wu, V. Mallet, M. Bocquet, and B. Sportisse, A comparison study of data assimilation algorithms for ozone forecasts, Journal of Geophysical Research, vol.3, issue.D24, 2008.
DOI : 10.1029/2008JD009991
URL : https://hal.archives-ouvertes.fr/inria-00582376