Centre d'Enseignement et de Recherche en Environnement Atmosphérique

Laboratoire Commun

École des Ponts ParisTech - EDF R&D

EDF

Publications année 2013



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Publications dans des revues avec comités de lecture

[1] Devilliers, M., É. Debry, K. Sartelet, C. Seigneur. A new algorithm to solve condensation/evaporation for ultra fine, fine, and coarse particles J. Aerosol Sci., vol. 55, 116-136, doi:10.1016/j.jaerosci.2012.08.005 (2013).     
[2] Zaïdi, H., É. Dupont, M. Milliez, B. Carissimo, L. Musson-Genon. Numerical simulations of the microscale heterogeneities of turbulence observed on a complex site Boundary-Layer Meteor., 147, 237-259, doi:10.1007/s10546-012-9783-9 (2013).     
[3] Dergaoui, H., é. Debry, K. Sartelet, C. Seigneur Modeling coagulation of externally mixed particles: sectional approach for both size and chemical composition J. Aerosol Sci. vol. 58, 17-32, doi:10.1016/J.JAEROSCI.2012.11.007 (2013).     
[4] Briant, R., C. Seigneur Multi-scale modeling of roadway air quality impacts: development and evaluation of a plume-in-grid model Atmos. Environ. vol. 68, 162-173, doi:10.1016/j.atmosenv.2012.11-058 (2013).     
[5] Couvidat, F., K. Sartelet, C. Seigneur Investigating the impact of aqueous-phase chemistry and wet deposition on organic aerosol formation using a molecular surrogate modeling approach Environ. Sci. Technol. vol. 47, 914-922, doi:10.1021/es3034318 (2013).     
[6] Couvidat, F., Y. Kim, K. Sartelet, C. Seigneur, N. Marchand, J. Sciare Modeling secondary organic aerosol in an urban area: application to Paris, France Atmos. Chem. Phys. vol. 13, 983-996, doi:10.1021/es3034318 (2013).     
[7] Wang, Y., K. Sartelet, M. Bocquet, and P. Chazette. Assimilation of ground versus lidar observations for PM10 forecasting. Atmos. Chem. Phys. vol. 13, 269-283, doi:10.5194/acp-13-269-2013 (2013).     
[8] Chapelle, D., M. Fragu, V. Mallet, P. Moireau Fundamental principles of data assimilation underlying the Verdandi library: applications to biophysical model personalization within euHeart Med. Biol. Eng. Comput. 51, 1221-1233, doi:10.1007/s11517-012-0969-6 (2013).     
[9] Tilloy, A., V. Mallet, D. Poulet, C. Pesin, F. Brocheton BLUE-Based NO2 data assimilation at urban scale J. Geophys. Res. 118, 2013-2040, doi:10.1002/jgrd.50233, (2013).     
[10] R. Briant and C. Seigneur and M. Gadrat and C. Bugajny. Evaluation of roadway Gaussian plume models with large-scale measurement campaigns Geosci. Model Dev. vol. 6, 445-456, doi:10.5194/gmd-6-445-2013 (2013).     
[11] Lecoeur, È, C. Seigneur. Evaluation of a multi-year model simulation of particulate matter concentrations over Europe Atmos. Chem. Phys. 13, 4319-4337 (2013).     
[12] Waked, A., C. Seigneur, F. Couvidat, Y. Kim, K. Sartelet, C. Afif, A. Borbon, P. Formenti, S. Sauvage. Modeling air pollution in Lebanon: evaluation at a suburban site in Beirut in summer Atmos. Chem. Phys. 13, 5873-5886 (2013).     
[13] Mathieu, A., I. Korsakissok, D. Quélo, O. Saunier, J. Groëll, D. Didier, D. Corbin, J. Denis, M. Tombette, V. Winiarek, M. Bocquet, E. Quentric, J.-P. Benoit État de la modélisation pour simuler l’accident nucléaire de la centrale Fukushima Daiichi Pollut. Atmos. vol. 217 (2013).     
[14] Koohkan, R.M., M. Bocquet, Y. Roustan, Y. Kim, C. Seigneur. Estimation of volatile organic compound emissions for Europe using data assimilation Atmos. Chem. Phys. 13, 5887-5905 (2013).     
[15] Zhang, Y., K. Sartelet, S.-Y. Wu, C. Seigneur. Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe, Part I: Model description, evaluation of meteorological predictions, and aerosol-meteorology interactions Atmos. Chem. Phys. 13, 6807-6843 (2013).     
[16] Zhang, Y., K. Sartelet, S. Zhu, W. Wang, S.-Y. Wu, X. Zhang, K. Wang, P. Tran, C. Seigneur, Z.-F. Wang. Application of WRF/Chem-MADRID and WRF/Polyphemus in Europe, Part II: Evaluation of chemical concentrations and sensitivity simulations Atmos. Chem. Phys. 13, 6845-6875 (2013).     
[17] Kim, Y., K. Sartelet, J.-C. Raut, P. Chazette. Evaluation of the Weather Research and Forecast/urban model over Greater Paris Boundary Layer Meteor. 149, 105–132, doi:10.1007/s10546-013-9838-6 (2013).     
[18] Waked, A., C. Afif, J. Brioude, P. Formenti, S. Chevaillier, I. el Haddad, J.-F. Doussin, A. Borbon, C. Seigneur. Fine organic aerosols collected at a semi-urban site in Beirut in the winter of 2012 Aerosol Sci. Technol. 47, 1258-1266, doi:10.1080/02786826.2013.831975 (2013).     
[19] Solazzo, E., R. Bianconi, G. Pirovano, M. D. Moran, R. Vautard, C. Hogrefe, V. Matthias, P. Grossi, K. W. Appel, B. Bessagnet, J. Brandt, C. Chemel, J. H. Christensen, R. Forkel, X. V. Francis, A. Hansen, S. McKeen, U. Nopmongcol, M. Prank, K. N. Sartelet, A. Segers, J. D. Silver, G. Yarwood, J. Werhahn, J. Zhang, S. T. Rao, and S. Galmarini. Four-dimensional evaluation of regional air quality models Geosci. Model Dev. vol. 6, 791-818, doi:10.5194/gmd-6-791-2013 (2013).     
[20] Mallet, V., A. Nakonechny, S. Zhuk. Minimax filtering for sequential aggregation – Application to ensemble forecast of ozone analyses J. Geophys. Res. 118, 11,294–11,303, doi:10.1002/jgrd.50751 (2013).     
[21] Bocquet, M., P. Sakov. Joint state and parameter estimation with an iterative ensemble Kalman smoother. Nonlin. Processes J. Geophys. Res. 20, 803-818, 2013, doi:10.5194/npg-20-803-2013     
[22] Wu, L., M. Bocquet, F. Chevallier, T. Lauvaux, K. Davis. Hyperparameter estimation for uncertainty quantification in mesoscale carbon dioxide inversions Tellus B 65, 20894, doi.org/10.3402/tellusb.v65i0.20894 (2013)     
[23] Saunier, O., A. Mathieu, D. Didier, M. Tombette, D. Quélo, V. Winiarek, M. Bocquet. An inverse modeling method to assess the source term of the Fukushima nuclear power plant accident using gamma dose rate observations Atmos. Chem. Phys. 13, 11403-11421, doi:10.5194/acp-13-11403-2013 (2013)