R. Abida, M. Bocquet, N. Vercauteren, and O. Isnard, Design of a monitoring network over France in case of a radiological accidental release, Atmospheric Environment, vol.42, issue.21, pp.5205-5219, 2008.
DOI : 10.1016/j.atmosenv.2008.02.065

URL : https://hal.archives-ouvertes.fr/inria-00582333

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. Banjevic, Optimal network designs in spatial statistics, 2004.

N. Blond, L. Bel, and R. Vautard, Three-dimensional ozone data analysis with an air quality model over the Paris area, Journal of Geophysical Research, vol.27, issue.D17, p.23, 2003.
DOI : 10.1029/2003JD003679

A. Coman, Modélisation spatio-temporelle de la pollution atmosphérique urbainé a paritir des mesures d'un réseau de surveillance de la qualité de l'air, 2008.

N. A. Cressie, Statistics for Spatial Data, Revised Edition., Biometrics, vol.50, issue.1, 1993.
DOI : 10.2307/2533238

D. Carlo, P. Pitari, G. Mancini, E. Gentile, S. Pichelli et al., Evolution of surface ozone in central Italy based on observations and statistical model, Journal of Geophysical Research, vol.55, issue.D23, p.10316, 2007.
DOI : 10.1029/2006JD007900

V. V. Fedorov and P. Hackl, Optimal Experimental Design : Spatial Sampling, Calcutta Statistical Association Bulletin, vol.44, issue.1-2, pp.57-81, 1994.
DOI : 10.1177/0008068319940106

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

J. Flemming, M. Van-loon, and R. Stern, Data assimilation for CTM based on optimum interpolation and Kalman filter, paper presented at 26th NATO/CCMS International Technical Meeting on Air Pollution Modeling and Its Application, 2003.

M. Fuentes, A. Chaudhuri, and D. M. Holland, Bayesian entropy for spatial sampling design of environmental data, Environmental and Ecological Statistics, vol.49, issue.3, pp.323-340, 2007.
DOI : 10.1007/s10651-007-0017-0

G. Gaspari and S. E. Cohn, Construction of correlation functions in two and three dimensions, Quarterly Journal of the Royal Meteorological Society, vol.4, issue.2, pp.723-757, 1999.
DOI : 10.1002/qj.49712555417

S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, Optimization by Simulated Annealing, Science, vol.220, issue.4598, pp.671-680, 1983.
DOI : 10.1126/science.220.4598.671

D. G. Krige, A statistical approach to some basic mine valuation problems on the witwatersrand, J. of the Chem., Metal. and Mining Soc. of South Africa, vol.52, pp.119-139, 1951.

V. Mallet, G. Stoltz, and B. Mauricette, Ozone ensemble forecast with machine learning algorithms, Journal of Geophysical Research, vol.41, issue.1, p.5307, 2009.
DOI : 10.1029/2008JD009978

URL : https://hal.archives-ouvertes.fr/inria-00565770

G. Matheron, Traité de géostatistique appliquée, 1962.

D. L. Mauzerall, B. Sultan, N. Kim, and D. F. Bradford, NO emissions from large point sources: variability in ozone production, resulting health damages and economic costs, Atmospheric Environment, vol.39, issue.16, pp.2851-2866, 2005.
DOI : 10.1016/j.atmosenv.2004.12.041

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953.
DOI : 10.1063/1.1699114

W. G. Müller, Collecting spatial data: optimum design of experiments for random fields, 2007.

D. Nychka and N. Saltzman, Design of Air-Quality Monitoring Networks, Case Studies in Environmental Statistics, pp.51-76, 1998.
DOI : 10.1007/978-1-4612-2226-2_4

H. Pleijel, H. Danielsson, L. Emberson, M. Ashmore, and G. Mills, Ozone risk assessment for agricultural crops in Europe: Further development of stomatal flux and flux???response relationships for European wheat and potato, Atmospheric Environment, vol.41, issue.14, pp.3022-3040, 2007.
DOI : 10.1016/j.atmosenv.2006.12.002

R. J. Rayner, Optimizing CO<sub>2</sub> observing networks in the presence of model error: results from TransCom 3, Atmospheric Chemistry and Physics, vol.4, issue.2, pp.413-421, 2004.
DOI : 10.5194/acp-4-413-2004

S. D. Reynolds, P. M. Roth, and J. H. Seinfeld, Mathematical modeling of photochemical air pollution???I, Atmospheric Environment (1967), vol.7, issue.11, pp.1033-1061, 1973.
DOI : 10.1016/0004-6981(73)90214-X

A. Russell and R. Dennis, NARSTO critical review of photochemical models and modeling, Atmospheric Environment, vol.34, issue.12-14, pp.283-285, 2000.
DOI : 10.1016/S1352-2310(99)00468-9

K. N. Sartelet, E. Debry, K. Fahey, Y. Roustan, M. Tombette et al., Simulation of aerosols and gas-phase species over Europe with the Polyphemus system: Part I?Model-to-data comparison for, Atmos. Env, vol.41, issue.6, pp.116-6131, 2001.
URL : https://hal.archives-ouvertes.fr/inria-00633774

O. Saunier, M. Bocquet, A. Mathieu, and O. Isnard, Model reduction via principal component truncation for the optimal design of atmospheric monitoring networks, Atmospheric Environment, vol.43, issue.32, pp.4940-4950, 2009.
DOI : 10.1016/j.atmosenv.2009.07.011

URL : https://hal.archives-ouvertes.fr/inria-00561635

B. Sportisse, A review of current issues in air pollution modeling and simulation, Computational Geosciences, vol.34, issue.D15, pp.159-181, 2007.
DOI : 10.1007/s10596-006-9036-4

URL : https://hal.archives-ouvertes.fr/inria-00633810

H. Wackernagel, Multivariate geostatistics, 2003.

H. Wackernagel, C. Lajaunie, N. Blond, C. Roth, and R. Vautard, Geostatistical risk mapping with chemical transport model output and ozone station data, Ecological Modelling, vol.179, issue.2, pp.177-185, 2004.
DOI : 10.1016/j.ecolmodel.2004.06.018

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