Articles | Volume 17, issue 11
Atmos. Chem. Phys., 17, 6531–6546, 2017

Special issue: The Boundary-Layer Late Afternoon and Sunset Turbulence (BLLAST)...

Atmos. Chem. Phys., 17, 6531–6546, 2017

Research article 02 Jun 2017

Research article | 02 Jun 2017

A new downscaling method for sub-grid turbulence modeling

Lucie Rottner et al.

Related authors

The similarity-based method: a new object detection method for deterministic and ensemble weather forecasts
Lucie Rottner, Philippe Arbogast, Mayeul Destouches, Yamina Hamidi, and Laure Raynaud
Adv. Sci. Res., 16, 209–213,,, 2019

Related subject area

Subject: Dynamics | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Parameterizing the vertical downward dispersion of ship exhaust gas in the near field
Ronny Badeke, Volker Matthias, and David Grawe
Atmos. Chem. Phys., 21, 5935–5951,,, 2021
Short summary
Anthropogenic aerosol forcing of the Atlantic meridional overturning circulation and the associated mechanisms in CMIP6 models
Taufiq Hassan, Robert J. Allen, Wei Liu, and Cynthia A. Randles
Atmos. Chem. Phys., 21, 5821–5846,,, 2021
Short summary
Sensitivities of the Madden–Julian oscillation forecasts to configurations of physics in the ECMWF global model
Jun-Ichi Yano and Nils P. Wedi
Atmos. Chem. Phys., 21, 4759–4778,,, 2021
Short summary
Sensitivity of modeled Indian monsoon to Chinese and Indian aerosol emissions
Peter Sherman, Meng Gao, Shaojie Song, Alex T. Archibald, Nathan Luke Abraham, Jean-François Lamarque, Drew Shindell, Gregory Faluvegi, and Michael B. McElroy
Atmos. Chem. Phys., 21, 3593–3605,,, 2021
Short summary
The spring transition of the North Pacific jet and its relation to deep stratosphere-to-troposphere mass transport over western North America
Melissa L. Breeden, Amy H. Butler, John R. Albers, Michael Sprenger, and Andrew O'Neil Langford
Atmos. Chem. Phys., 21, 2781–2794,,, 2021
Short summary

Cited articles

Andrews, N. F.: Simulating the diurnal cycle of the atmospheric boundary layer using large-eddy simulation with vertical adaptive mesh refinement, PhD thesis, The University of Utah, Utah, 2012.
Baehr, C.: Stochastic modeling and filtering of discrete measurements for a turbulent field, Application to measurements of atmospheric wind, Int. J. Mod. Phys. B, 23, 5424–5433, 2009.
Baehr, C.: Nonlinear filtering for observations on a random vector field along a random path. Application to atmospheric turbulent velocities, ESAIM-Math. Model. Num., 44, 921–945, 2010.
Bally, V. and Talay, D.: The law of the Euler scheme for stochastic differential equations, Probab. Theory Rel., 104, 43–60, 1996.
Bernardin, F., Bossy, M., Chauvin, C., Drobinski, P., Rousseau, A., and Salameh, T.: Stochastic downscaling method: application to wind refinement, Stoch. Env. Res. Risk A., 23, 851–859, 2009.
Short summary
In this study we explore a new way to model sub-grid turbulence using particle systems. The ability of particle systems to model small-scale turbulence is evaluated using high-resolution numerical simulations performed with the atmospheric model Meso-NH. The study shows that the particle system is able to reproduce much finer turbulent structures than the high-resolution simulations. It also provides an estimate of the effective spatial and temporal resolution of the numerical models.
Final-revised paper