F. Bernardin, M. Bossy, C. Chauvin, P. Drobinski, A. Rousseau et al., Stochastic downscaling method: application to wind refinement, Stochastic Environmental Research and Risk Assessment, vol.58, issue.3, pp.851-859, 2009.
DOI : 10.1111/j.1600-0870.2006.00186.x
URL : https://hal.archives-ouvertes.fr/inria-00337526

M. Bossy, Some stochastic particle methods for nonlinear parabolic PDEs, GRIP? Research Group on Particle Interactions, pp.18-57, 2005.
DOI : 10.1051/proc:2005019
URL : https://doi.org/10.1051/proc:2005019

M. Bossy, J. Espina, J. Morice, C. Paris, and A. Rousseau, Modeling the wind circulation around mills with a Lagrangian stochastic approach, SMAI Journal of Computational Mathematics, vol.2, pp.177-214, 2016.
DOI : 10.5802/smai-jcm.13
URL : https://hal.archives-ouvertes.fr/hal-01088927

M. Bossy, J. Jabir, and D. Talay, On conditional McKean Lagrangian stochastic models, Probability Theory and Related Fields, vol.71, issue.4, pp.319-351, 2011.
DOI : 10.1007/BF00699042
URL : https://hal.archives-ouvertes.fr/inria-00345524

M. Bossy and L. Violeau, Optimal rate of convergence of particle approximation for conditional McKean-Vlasov kinetic processes. arxiv preprint, 2018.

T. D. Dreeben and S. B. Pope, Probability density function and Reynolds???stress modeling of near???wall turbulent flows, Physics of Fluids, vol.3, issue.1, pp.154-163, 1994.
DOI : 10.1115/1.3448633

P. A. Durbin, A Reynolds stress model for near-wall turbulence, Journal of Fluid Mechanics, vol.108, issue.-1, p.465498, 1993.
DOI : 10.1016/0142-727X(89)90017-9

P. Durbin and C. Speziale, Realizability of second-moment closure via stochastic analysis, Journal of Fluid Mechanics, vol.68, issue.-1, pp.395-407, 1994.
DOI : 10.1063/1.866301

J. Minier, Statistical descriptions of polydisperse turbulent two-phase flows, Physics Reports, vol.665, pp.1-122, 2016.
DOI : 10.1016/j.physrep.2016.10.007

J. Minier, S. Chibbaro, and S. B. Pope, Guidelines for the formulation of Lagrangian stochastic models for particle simulations of single-phase and dispersed two-phase turbulent flows, Physics of Fluids, vol.31, issue.11, p.26113303, 2014.
DOI : 10.1088/1742-6596/318/4/042049
URL : https://hal.archives-ouvertes.fr/hal-01443822

J. Minier and J. Pozorski, Wall-boundary conditions in probability density function methods and application to a turbulent channel flow, Physics of Fluids, vol.11, issue.9, pp.2632-2644, 1999.
DOI : 10.1017/S0022112087000892

A. Niayifar and F. Porté, Analytical Modeling of Wind Farms: A New Approach for Power Prediction, Energies, vol.23, issue.9, pp.741-2016
DOI : 10.1002/we.348

S. B. Pope, Lagrangian PDF Methods for Turbulent Flows, Annual Review of Fluid Mechanics, vol.26, issue.1, pp.23-63, 1994.
DOI : 10.1146/annurev.fl.26.010194.000323

S. B. Pope, Lagrangian PDF Methods for Turbulent Flows, Annual Review of Fluid Mechanics, vol.26, issue.1, pp.23-63, 1994.
DOI : 10.1146/annurev.fl.26.010194.000323

S. B. Pope, Particle Method for Turbulent Flows: Integration of Stochastic Model Equations, Journal of Computational Physics, vol.117, issue.2, pp.332-349, 1995.
DOI : 10.1006/jcph.1995.1070

S. B. Pope, Turbulent flows, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00338511

P. E. Réthoré, N. N. Sørensen, A. Bechmann, and F. Zahle, Study of the atmospheric wake turbulence of a cfd actuator disc model, Proceedings of European Wind Energy Conference, pp.16-19, 2009.

J. N. Sørensen, Aerodynamic Aspects of Wind Energy Conversion, Annual Review of Fluid Mechanics, vol.43, issue.1, pp.427-448, 2011.
DOI : 10.1146/annurev-fluid-122109-160801

M. Waclawczyk, J. Pozorski, and J. Minier, Probability density function computation of turbulent flows with a new near-wall model, Physics of Fluids, vol.3, issue.5, pp.1410-1422, 2004.
DOI : 10.1017/S0022112094002983