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2022

Al Asmar L., Musson-Genon L., Dupont E., Ferrand M., Sartelet K. (2022) Modeling the Contribution of Aerosols to Fog Evolution through Their Influence on Solar Radiation. Climate, 10, 61, doi:10.3390/cli10050061

Amino, H, Flageul, C, Benhamadouche, S, Tiselj, I, Carissimo, B, Ferrand, M. A time-staggered second order conservative time scheme for variable density flow. Int J Numer Meth Fluids. 2022; 94( 12): 1964– 1995. doi:10.1002/fld.5116

Carrassi, A., Bocquet, M., Demaeyer, J., Gruzien, C., Raanes, P. N., and Vannitsem, S. (2022). Data assimilation for chaotic dynamics. In S. K. Park & L. Xu (Eds.), Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) (pp. 1–42). Springer, Cham. https://doi.org/10.1007/978-3-030-77722-7_1

Dulac F., Hamonou E., Sauvage S., Kanakidou M., Beekmann M., Desboeufs K., Formenti P., Becagli S., di Biagio C., Borbon A., Denjean C., Gheusi F., Gros V., Guieu C., Junkermann W., Kalivitis N., Laurent B., Mallet M., Michoud V., Nabat P., Sartelet K., Sellegri K. (2022). Summary of Recent Progress and Recommendations for Future Research Regarding Air Pollution Sources, Processes, and Impacts in the Mediterranean Region. In: Dulac, F., Sauvage, S., Hamonou, E. (eds) Atmospheric Chemistry in the Mediterranean Region. Springer, Cham. https://doi.org/10.1007/978-3-030-82385-6_25

Foret, G., Michoud, V., Kotthaus, S., Petit, J.-E., Baudic, A., Siour, G., Kim, Y., Doussin, J.-F., Dupont, J.-C., Formenti, P., Gaimoz, C., Ghersi, V., Gratien, A., Gros, V., Jaffrezo, J.-L., Haeffelin, M., Kreitz, M., Ravetta, F., Sartelet, K., Simon, L., Té, Y., Uzu, G., Zhang, S., Favez, O., Beekmann, M. (2022), The December 2016 extreme weather and particulate matter pollution episode in the Paris region (France), Atmospheric Environment, 291, 119386, doi: https://doi.org/10.1016/ j.atmosenv.2022.119386.

Grudzien, C. and Bocquet, M.: A fast, single-iteration ensemble Kalman smoother for sequential data assimilation, Geosci. Model Dev., 15, 7641–7681, https://doi.org/10.5194/gmd-15-7641-2022, 2022.

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Grudzien, C. and Bocquet, M.: A fast, single-iteration ensemble Kalman smoother for sequential data assimilation, Geosci. Model Dev., 15, 7641–7681, https://doi.org/10.5194/gmd-15-7641-2022, 2022.

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Guérin, V., Farchi, A., Cawez, F., Mercuri, P., Lucas, P., Blanchard, Y., Saulmont, M., Mainil, J., & Thiry, D. (2022). A three-year evolution and comparison of the blaCTX-M genes in pathogenic and non-pathogenic Escherichia coli isolated from young diarrheic and septicaemic calves in Belgium. Research in Veterinary Science, 152, 647–650. https://doi.org/https://doi.org/10.1016/j.rvsc.2022.09.037

Guérin, V.; Farchi, A.; Thiry, D.; Cawez, F.; Mercuri, P.S.; Galleni, M.; Mainil, J.; Saulmont, M. Seven-Year Evolution of beta-Lactam Resistance Phenotypes in Escherichia coli Isolated from Young Diarrheic and Septicaemic Calves in Belgium. Vet. Sci. 2022, 9, 45. https://doi.org/10.3390/vetsci9020045

Jerry Jose, Auguste Gires, Ioulia Tchiguirinskaia, Yelva Roustan, Daniel Schertzer, Scale invariant relationship between rainfall kinetic energy and intensity in Paris region: An evaluation using universal multifractal framework, Journal of Hydrology, Volume 609, 2022, https://doi.org/10.1016/j.jhydrol.2022.127715.

Kim, Y., Lugon, L., Maison, A., Sarica, T., Roustan, Y., Valari, M., Zhang, Y., André, M., and Sartelet, K.: MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling, Geosci. Model Dev., 15, 7371–7396, https://doi.org/10.5194/gmd-15-7371-2022, 2022.

Lugon L., Kim Y., Vigneron J., Chrétien O., André M., André J.-M., Moukhtar S., Redaelli M., Sartelet K. (2022), Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris. Atmospheric Pollution Research, 13, 5, 101365, doi: 10.1016/j.apr.2022.101365

Maison A., Flageul C., Carissimo B., Tuzet A., Sartelet K. (2022), Parametrization of Horizontal and Vertical Transfers for the Street-Network Model MUNICH Using the CFD Model Code_Saturne. Atmosphere, 13, 527, doi: 10.3390/atmos13040527

Maison, A., Flageul, C., Carissimo, B., Wang, Y., Tuzet, A., and Sartelet, K. (2022), Parameterizing the aerodynamic effect of trees in street canyons for the street network model MUNICH using the CFD model Code_Saturne. Atmos. Chem. Phys., 22, 9369-9388, doi:10.5194/acp-22-9369-2022

Malartic, Q., Farchi, A., and Bocquet, M. (2022). State, global, and local parameter estimation using local ensemble Kalman filters: Applications to online machine learning of chaotic dynamics. Q. J. R. Meteorol. Soc., 148, 2167–2193. https://doi.org/10.1002/qj.4297

Marques B, Kostenidou E, Valiente AM, Vansevenant B, Sarica T, Fine L, Temime-Roussel B, Tassel P, Perret P, Liu Y, Sartelet K, Ferronato C, D'Anna B. (2022), Detailed Speciation of Non-Methane Volatile Organic Compounds in Exhaust Emissions from Diesel and Gasoline Euro 5 Vehicles Using Online and Offline Measurements. Toxics, 10(4), 184, doi:10.3390/toxics10040184

Nagel, T., Schoetter, R., Masson, V., Lac, C., Carissimo, B. (2022) Numerical Analysis of the Atmospheric Boundary-Layer Turbulence Influence on Microscale Transport of Pollutant in an Idealized Urban Environment. Boundary-Layer Meteorol. https://doi.org/10.1007/s10546-022-00697-7

Sarica, T., K. Sartelet, Y. Roustan, Y. Kim, L. Lugon, M. André, B. Marques, B. D’Anna, C. Chaillou, C. Larrieu (2022). Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions. In: Mensink, C., Jorba, O. (eds) Air Pollution Modeling and its Application XXVIII. ITM 2021. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-12786-1_39

Sartelet, K. (2022). Secondary Aerosol Formation and Their Modeling. In: Dulac, F., Sauvage, S., Hamonou, E. (eds) Atmospheric Chemistry in the Mediterranean Region. Springer, Cham. https://doi.org/10.1007/978-3-030-82385-6_10

Sartelet, K., Kim, Y., Couvidat, F., Merkel, M., Petäjä, T., Sciare, J., and Wiedensohler, A.: Influence of emission size distribution and nucleation on number concentrations over Greater Paris, Atmos. Chem. Phys., 22, 8579–8596, https://doi.org/10.5194/acp-22-8579-2022, 2022.

Svetlana Tsyro, Wenche Aas, Augustin Colette, Camilla Andersson, Bertrand Bessagnet, Giancarlo Ciarelli, Florian Couvidat, Kees Cuvelier, Astrid Manders, Kathleen Mar, Mihaela Mircea, Noelia Otero, Maria-Teresa Pay, Valentin Raffort, Yelva Roustan, Mark R. Theobald, Marta G. Vivanco, Hilde Fagerli, Peter Wind, Gino Briganti, Andrea Cappelletti, Massimo D'Isidoro, and Mario Adani (2022). Eurodelta multi-model simulated and observed particulate matter trends in Europe in the period of 1990–2010. Atmos. Chem. Phys., 22, 7207–7257, https://doi.org/10.5194/acp-22-7207-2022

Tao Wang, Jie Li, Jinxiu Pan, Dongsheng Ji, Youngseob Kim, Luolin Wu, Xuemei Wang, Xiaole Pan, Yele Sun, Zifa Wang, Wenyi Yang, Huiyun Du (2022) An integrated air quality modeling system coupling regional-urban and street models in Beijing. Urban Climate, 43, 101143, https://doi.org/10.1016/j.uclim.2022.101143.

Thera B., Dominutti P., Colomb A., Michoud V., Doussin J.-F., Beekmann M., Dulac F., Sartelet K., Borbon A. (2022), O3-NOy photochemistry in boundary layer polluted plumes: insights from the MEGAPOLI (Paris), ChArMEx/SAFMED (North West Mediterranean) and DACCIWA (southern West Africa) aircraft campaigns Environ. Sci.: Atmos., 2 (4), 659-686, doi:10.1039/D1EA00093D

Wang, Z., Couvidat, F. and Sartelet, K. (2022), GENerator of reduced Organic Aerosol mechanism (GENOA v1.0): an automatic generation tool of semi-explicit mechanisms. Geosci. Model Dev., 15, 8957-8982, doi:10.5194/gmd-15-8957-2022