.. Uncertainty-due-to-input-data, 108 4.3.1 Correlation and Regression, p.111

A. , C. Langner, J. Et, B. , and R. , Interannual variation and trends in air pollution over Europe due to climate variability during 1958?2001 simulated with a regional CTM coupled to the ERA40 reanalysis, Tellus B, vol.59, issue.1, pp.77-98, 2007.

M. Beekmann, D. Et, and C. , Monte Carlo uncertainty analysis of a regional-scale transport chemistry model constrained by measurements from the Atmospheric Pollution Over the Paris Area (ESQUIF) campaign, Journal of Geophysical Research, vol.23, issue.D17, p.8559, 2003.
DOI : 10.1029/2003JD003391

B. , J. Lacour, S. Mallet, V. Quélo, D. Roustan et al., Development and validation of a fully modular platform for numerical modelling of air pollution : POLAIR, International Journal of Environment and Pollution, vol.22, issue.12, pp.17-28, 2004.
URL : https://hal.archives-ouvertes.fr/inria-00527198

B. , F. Et, C. , and P. , Data assimilation concepts and methods. Meteorological training course lecture series, 1999.

B. , A. Beekmann, M. Forêt, G. Ung, A. Szopa et al., An ensemble assessment of regional ozone model uncertainty with an explicit error representation, Atmospheric Environment, issue.3, pp.45784-793, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00557955

B. , D. W. Et, C. , and J. K. Éditeurs, Science algorithms of the EPA models-3 community multiscale air quality (CMAQ) modeling system, 1999.

C. , G. Et, T. , and O. , Evaluation of probabilistic prediction systems for a scalar variable, Quarterly Journal of the Royal Meteorological Society, vol.131, issue.2, pp.131-2150, 2005.

C. , J. Brost, R. Isaken, I. Madronich, S. Middleton et al., A three-dimensional Eulerian acid deposition model : physical concepts and formulation, Journal of Geophysical Research, issue.D12, pp.9214681-14700, 1987.

D. , E. Fahey, K. Sartelet, K. Sportisse, B. Et et al., Technical Note : A new SIze REsolved Aerosol Model (SIREAM) Atmospheric Chemistry and Physics, pp.537-1547, 2007.

D. Monache, L. Deng, X. Zhou, Y. Et, S. et al., Ozone ensemble forecasts : 1. A new ensemble design, Journal of Geophysical Research, vol.111, issue.D05307, 2006.

D. Monache, L. Hacker, J. P. Zhou, Y. Deng, X. Et et al., Probabilistic aspects of meteorological and ozone regional ensemble forecasts, Journal of Geophysical Research, vol.111, 2006.

D. Monache, L. Et, S. , and R. B. , An ensemble air-quality forecast over western Europe during an ozone episode, Atmospheric Environment, vol.37, issue.3, pp.469-3474, 2003.

F. , A. Et, B. , and D. , Computer Models in Genetics, 1970.

G. , S. Bianconi, R. Addis, R. Andronopoulos, S. Astrup et al., Ensemble dispersion forecasting ? part II : application and evaluation, Atmospheric Environment, vol.4, issue.28, pp.38619-4632, 2004.

G. , S. Bianconi, R. Klug, W. Mikkelsen, T. Addis et al., Ensemble dispersion forecasting ? part I : concept, approach and indicators, Atmospheric Environment, vol.4, issue.28, pp.38607-4617, 2004.

G. , D. Et, M. , and V. , Automatic generation of large ensembles for air quality forecasting using the Polyphemus system, Geoscientific Model Development, vol.3, issue.1, pp.69-85, 2010.

G. , D. Et, M. , and V. , Automatic calibration of an ensemble for uncertainty estimation and probabilistic forecast : Application to air quality, Journal of Geophysical Research, vol.116, 2011.

G. , D. Et, M. , and V. , Uncertainty estimation and decomposition based on Monte Carlo and multimodel photochemical simulations, 2012.

A. Gross and W. R. Stockwell, Comparison of the EMEP, RADM2 and RACM mechanisms, Journal of Atmospheric Chemistry, vol.44, issue.2, pp.151-170, 2003.
DOI : 10.1023/A:1022483412112

H. , T. M. Et, C. , and S. J. , Verification of Eta/RSM short-range ensemble forecasts, Monthly Weather Review, vol.125, pp.1312-1327, 1997.

H. , S. R. Lu, Z. Frey, H. C. Wheeler, N. Vukovich et al., Uncertainties in predicted ozone concentrations due to input uncertainties for the UAM-V photochemical grid model applied to the OTAG domain, Atmospheric Environment, vol.35, issue.5, pp.891-903, 1995.

H. , C. Rao, S. T. Kasibhatla, P. Hao, W. Sistla et al., Evaluating the performance of regional-scale photochemical modeling systems : Part II ? ozone predictions, Atmospheric Environment, vol.35, issue.4, pp.159-4174, 2001.

H. , A. Et, L. , and P. , The statistical structure of short-range forecast errors as determined from radiosonde data. Part I : the wind field, pp.111-136, 1986.

H. , T. M. Et, W. , and P. J. , A 1?10-day ensemble forecasting scheme for the major river basins of bangladesh : Forecasting severe floods of 2003?07*, Journal of Hydrometeorology, vol.11, issue.3, pp.618-641, 2010.

H. , L. W. Walters, S. Mauzerall, D. L. Emmons, L. K. Rasch et al., A global simulation of tropospheric ozone and related tracers : description and evaluation of MOZART, Journal of Geophysical Research, vol.108, issue.2D24, 2003.

K. , S. Gelatt, C. D. Vecchi, and M. P. , Optimization by simulating annealing, Science, vol.220, issue.4598, pp.671-680, 1983.

K. , M. Houweling, S. Bregman, B. Van-den, B. et al., The two-way nested global chemistrytransport zoom model tm5 : algorithm and applications, Atmospheric Chemistry and Physics, vol.5, issue.2, pp.417-432, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00295608

L. , D. Et, V. , and J. G. , Analysis of operator splitting for advection-diffusionreaction problems from air pollution modelling, Journal of Computational and Applied Mathematics, vol.111, pp.201-216, 1999.

M. , V. Pourchet, A. Quélo, D. Et, S. et al., Investigation of some numerical issues in a chemistry-transport model : Gas-phase simulations, Journal of Geophysical Research, vol.112, issue.D15, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00633151

M. , V. Quélo, D. Sportisse, B. Ahmed-de, B. et al., Technical Note : The air quality modeling system Polyphemus, Atmospheric Chemistry and Physics, vol.75, issue.20, pp.479-5487, 2007.

M. , V. Et, S. , and B. , Ensemble-based air quality forecasts : A multimodel approach applied to ozone, Journal of Geophysical Research, vol.111, issue.D18, 2006.

M. , V. Et, S. , and B. , Uncertainty in a chemistry-transport model due to physical parameterizations and numerical approximations : An ensemble approach applied to ozone modeling, Journal of Geophysical Research, vol.111, issue.D1, 2006.

M. , V. Stoltz, G. Et, M. , and B. , Ozone ensemble forecast with machine learning algorithms, Journal of Geophysical Research, vol.114, issue.D05307, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00565770

M. , P. T. Et, H. , and R. A. , Adjoint sensitivity analysis for a three-dimensional photochemical model : application to Southern California, Environmental Science & Technology, vol.40, issue.13, pp.4200-4210, 2006.

M. , S. Chung, S. H. Wilczak, J. Grell, G. Djalalova et al., Evaluation of several PM 2.5 forecast models using data collected during the ICARTT/NEAQS 2004 field study, Journal of Geophysical Research, vol.112, issue.D10S20, 2007.

M. , S. Wilczak, J. Grell, G. Djalalova, I. Peckham et al., Assessment of an ensemble of seven real-time ozone forecasts over eastern North America during the summer of, Journal of Geophysical Research, vol.110, issue.D21, 2004.

M. , S. A. Hsie, E. Trainer, M. Tallamraju, R. Et et al., A regional model study of the ozone budget in the eastern United States, Journal of Geophysical Research, vol.96, issue.D6, pp.10809-10845, 1991.

M. , E. C. Spiel, D. E. Et, D. , and K. L. , Oceanic Whitecaps ? and Their Role in Air-Sea Exchange Processes, chapitre A model of marine aerosol generation via whitecaps and wave disruption, pp.167-174, 1986.

P. , M. Grell, G. Devenyi, D. Peckham, S. Mckeen et al., Application of dynamic linear regression to improve the skill of ensemble-based deterministic ozone forecasts, Atmospheric Environment, vol.40, issue.3, pp.240-3250, 2006.

P. , M. Grell, G. A. Mckeen, S. A. Dévényi, D. Wilczak et al., A simple method to improve ensemble-based ozone forecasts, Geophysical Research Letters, p.32, 2005.

P. , R. W. Gilliam, R. C. Appel, K. W. Napelenok, S. L. Foley et al., Efficient probabilistic estimates of surface ozone concentration using an ensemble of model configurations and direct sensitivity calculations, Environmental Science & Technology, issue.72, pp.43388-2393, 2009.

Q. , D. Mallet, V. Et, S. , and B. , Inverse modeling of NO x emissions at regional scale over northern France : Preliminary investigation of the second-order sensitivity, Journal of Geophysical Research, vol.110, issue.D24, 2005.

R. , A. Et, D. , and R. , NARSTO critical review of photochemical models and modeling, Atmospheric Environment, vol.34, issue.2, pp.283-285, 2000.

S. , A. Verwer, J. G. Blom, J. G. Spee, E. J. Carmichael et al., Benchmarking stiff ODE solvers for atmospheric chemistry problems II : Rosenbrock solvers, Atmospheric Environment, vol.3, issue.20, pp.31459-3472, 1997.

S. , A. Verwer, J. G. Van, L. , M. Carmichael et al., Benchmarking stiff ODE solvers for atmospheric chemistry problems- I. Implicit vs explicit, Atmospheric Environment, vol.3, issue.19, pp.31151-3166, 1997.
DOI : 10.1016/1352-2310(95)00283-5

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

S. , K. Hayami, H. Et, S. , and B. , MICS Asia Phase II?Sensitivity to the aerosol module, Atmospheric Environment, vol.423570, issue.15, pp.562-565, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00142891

S. , H. Derognat, C. Vautard, R. Beekmann, and M. , A comparison of simulated and observed ozone mixing ratios for the summer of 1998 in Western Europe, Atmospheric Environment, vol.35, issue.6, pp.277-6297, 2001.

D. Simpson, Long-period modelling of photochemical oxidants in Europe. Model calculations for, Atmospheric Environment, vol.26, issue.91, pp.609-1634, 1985.

D. Simpson, W. Winiwarter, G. Börjesson, S. Cinderby, A. Ferreiro et al., Inventorying emissions from nature in Europe, Journal of Geophysical Research: Atmospheres, vol.4, issue.1, pp.113-8152, 1999.
DOI : 10.1029/98JD02747

S. , M. Et, H. , and N. , The sea spray generation function, Journal of Aerosol Science, vol.29, pp.189-190, 1998.

S. , B. Et, M. , and V. , Calcul scientifique pour l'environnement, 2005.

S. , R. Yamartino, R. Et, G. , and A. , Dispersion modelling within the European Community's air quality directives : Long term modelling of O3, PM10 and NO2, 26th ITM on Air Pollution Modelling and its Application, 2003.

S. , W. R. Kirchner, F. Kuhn, M. Et, S. et al., A new mechanism for regional atmospheric chemistry modeling, Journal of Geophysical Research, vol.102879, issue.D22, pp.25847-25872, 1997.

S. , W. R. Middleton, P. Chang, J. S. Et, T. et al., The second generation regional acid deposition model chemical mechanism for regional air quality modeling, Journal of Geophysical Research, vol.95367, issue.D10, pp.16343-16359, 1990.

S. , A. G. Koffi, E. N. Et, N. , and K. , Dispersion modeling using ensemble forecasts compared to ETEX measurements, Journal of Applied Meteorology and Climatology, vol.37, issue.1, pp.444-1456, 1998.

T. , O. Vautard, R. Et, S. , and B. , Evaluation of probabilistic prediction system, Proceedings of the ECMWF Workshop on Predictability, 1999.

T. , M. Et, S. , and B. , Aerosol modeling at a regional scale : Model-to-data comparison and sensitivity analysis over Greater Paris, Atmospheric Environment, issue.33, pp.41-6941, 2007.

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

U. Epa, E. Van, L. , M. Vautard, R. Schaap et al., Guideline for regulatory Rapport technique EPA-450/4-91-013 Evaluation of long-term ozone simulations from seven regional air quality models and their ensemble, Atmospheric Environment, vol.41, issue.2, pp.83-2097, 1991.

V. , R. Beekmann, M. Roux, J. Et, G. et al., Validation of a hybrid forecasting system for the ozone concentrations over the Paris area, Atmospheric Environment, vol.35, issue.142, pp.449-2461, 2001.

V. , R. Schaap, M. Bergström, R. Bessagnet, B. Brandt et al., Skill and uncertainty of a regional air quality model ensemble, Atmospheric Environment, vol.43832, issue.4, pp.822-826, 2009.
URL : https://hal.archives-ouvertes.fr/ineris-00963160

V. , J. G. Hundsdorfer, W. Et, B. , and J. G. , Numerical time integration for air pollution models, 1998.

V. , J. G. Hundsdorfer, W. Et, B. , and J. G. , Numerical time integration for air pollution models, Surveys on Mathematics for Industry, vol.10, pp.107-174, 2002.

V. , J. G. Spee, E. J. Blom, J. G. Et, H. et al., A second-order Rosenbrock method applied to photochemical dispersion problems, SIAM Journal on Scientific Computing, vol.20, issue.41, pp.456-1480, 1999.

W. , T. T. Sheu, R. Bowers, J. F. Sykes, R. I. Dodd et al., Ensemble simulations with coupled atmospheric dynamic and dispersion models : illustrating uncertainties in dosage simulations, Journal of Applied Meteorology and Climatology, vol.41, pp.488-504, 2002.

W. , L. Mallet, V. Bocquet, M. Et, S. et al., A comparison study of data assimilation algorithms for ozone forecasts, Journal of Geophysical Research, vol.113, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00582376

Z. , L. Brook, J. R. Et, V. , and R. , A revised parameterization for gaseous dry deposition in air-quality models, Atmospheric Chemistry and Physics, vol.3, issue.2, pp.67-2082, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00295366