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Jacques Moussafir

Observed names: J. Moussafir, Moussafir, J., Moussafir, Jacques
Institution: ARIA Technologies
OpenAlex ID: A5048661979
Lagrangian Particle Simulation of Tracer Dispersion in the Lee of a Schematic Two-Dimensional Hill
1994 · G. Tinarelli, D. Anfossi, et al. · Journal of applied meteorology · 84
Comparisons of JU2003 observations with four diagnostic urban wind flow and Lagrangian particle dispersion models
2011 · Steven Hanna, John White, et al. · Atmospheric Environment · 69
An adaptive Bayesian inference algorithm to estimate the parameters of a hazardous atmospheric release
2015 · Harizo Rajaona, François Septier, et al. · Atmospheric Environment · 66
Review and Validation of MicroSpray, a Lagrangian Particle Model of Turbulent Dispersion
2013 · G. Tinarelli, L. Mortarini, et al. · Geophysical monograph · 57
Micro-Swift-Spray (MSS): A New Modelling System for the Simulation of Dispersion at Microscale. General Description and Validation
2007 · Gianni Tinarelli, G. Brusasca, et al. · Springer eBooks · 55
Description and preliminary validation of the PMSS fast response parallel atmospheric flow and dispersion solver in complex built-up areas
2017 · Olivier Oldrini, Patrick Armand, et al. · Environmental Fluid Mechanics · 54
Next Generation Short-Term Forecasting of Wind Power – Overview of the ANEMOS Project.
2006 · Kariniotakis, Georges, Halliday, J., et al. · HAL · 44
Anemos : development of a next generation wind power forecasting system for the large-scale integration of onshore & offshore wind farms
2003 · Kariniotakis, Georges, Mayer, Didier, et al. · HAL · 28
Simulation of a dense gas chlorine release with a Lagrangian particle dispersion model (LPDM)
2020 · Félix Gomez, Bruno Ribstein, et al. · Atmospheric Environment · 15
AIRCITY: A Very High Resolution Atmospheric Dispersion Modeling System for Paris
2014 · J. Moussafir, C. Olry, et al. · 14
Chemical reactions at street scale using a Lagrangian particle dispersion model
2014 · Hadassah Kaplan, Christophe Olry, et al. · International Journal of Environment and Pollution · 5
Application of Pmss, the Parallel Version of Mss, to the Micro-meteorological Flow Field and Deleterious Dispersion Inside an Extended Simulation Domain Covering the Whole Paris Area
2011 · Christophe Duchenne, Patrick Armand, et al. · 3
Abstracts of the 6th FECS Conference 1998 Lectures
1998 · F. Sherwood Rowland, Donald R. Blake, et al. · Environmental Science and Pollution Research · 3
Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services
2021 · Maxime Nibart, Bruno Ribstein, et al. · Atmosphere · 1
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Development of a Lagrangian Particle Model for Dense Gas Dispersion in Urban Environment
2008 · G. Tinarelli, D. Anfossi, et al. · NATO security through science series. C, Environmental security (Online)/NATO security through science series. C, Environmental security (Print) · 1
The Anemos Project : Next Generation forecasting of Wind power
2004 · Kariniotakis, Georges, Mayer, Didier, et al. · HAL · 1
Use of dispersion modeling and a differential optical absorption spectroscopy (DOAS) monitor for improving pollution prevention procedures around an industrial site
1999 · Dominique Thomas, Veronique Delmas, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1
Forecasting of Pollutant Concentration Under Episode Conditions
1981 · J. M. Fage, G. Gallay, et al. · Springer eBooks · 1
Chapitre 10 : Les défis de la santé et du bien-être en ville : pollution atmosphérique, nuisance thermique et odeurs
2020 · Jacques Moussafir · EDP Sciences eBooks
Chapitre 10 : Les défis de la santé et du bien-être en ville : pollution atmosphérique, nuisance thermique et odeurs
2020 · Jacques Moussafir · EDP Sciences eBooks
A “real time” high resolution air quality platform using mobile sensors – Paris case study
2019 · Otalora, Marcia, Soulhac, Lionel, et al. · HAL
Les défis de la santé et du bien-être en ville : pollution atmosphérique, nuisances thermiques, odeurs
2017 · Moussafir, Jacques · Cairn.info
Estimating Source Term Parameters through Probabilistic Bayesian inference: An Approach based on an Adaptive Multiple Importance Sampling Algorithm
2014 · Rajaona, Harizo, Armand, Patrick, et al. · HAL
E2SP: Modelling Forecasts and Reporting Services on the Web
2006 · Gaia Corbetta, Mauro Cislaghi, et al. · EnviroInfo
Towards next generation short-term forecasting of wind power - the ANEMOS project (poster paper)
2004 · Georges Kariniotakis, Thierry Ranchin, et al.
Works count: 29
Citation count: 502
H-index: 10
I10-index: 10
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