A turbulence scheme allowing for mesoscale and large‐eddy simulations
By Joan Cuxart, P. Bougeault, J. Redelsperger. 2000
866 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/6922ec402f1997196ffc087a511ac25494e8d6d5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- João Paulo Ramos Teixeira
- A. P. Siebesma
- Bjorn Stevens
- Valéry Masson
- Albert A. M. Holtslag
- Thierry Bergot
- J. Lafore
- Gert-Jan Steeneveld
In Global and Planetary Change
- João Paulo Ramos Teixeira
- A. P. Siebesma
- Bjorn Stevens
- Albert A. M. Holtslag
- Thierry Bergot
- Valéry Masson
- Gert-Jan Steeneveld
- J. Lafore
Citations in the corpus
- Toward Numerical Modeling in the “Terra Incognita” (2004, methodology): “In Deardorff’s early applications of what we now call LES to turbulent channel flow (Deardorff 1970) and to the planetary boundary layer (Deardorff 1972), the SFS model was the eddy-diffusivity closure of Eq. (9) with Smagorinsky’s form, Eq. (10), for the eddy diffusivity K. Computational difficulti”
- Modeling and Forecasting the Onset and Duration of Severe Radiation Fog under Frost Conditions (2010, methodology): “…(1990) radiation scheme, the Kain and Fritsch (1993) convection scheme combined with the Rasch and Kristjànsson (1998) condensation scheme, the Cuxart et al. (2000) turbulence scheme formulated in moist conserved variables, and the Interactions between Soil, Biosphere, and Atmosphere (ISBA)…”
- Small‐scale structure of radiation fog: a large‐eddy simulation study (2013, methodology): “The configuration chosen for LES modelling of the life cycle of a fog layer used an anelastic system of equations and a 3D turbulent scheme with a prognostic TKE (Cuxart et al., 2000) and a Deardorff mixing length (Deardorff, 1980).”
- Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1 (2019, methodology): “Finally, the eddy‐induced circulation is parameterized with the Gent and Mcwilliams (1990) parameterization as in NOCS‐ORCA1, and with the addition of the Fox‐Kemper et al. (2011) submesoscale mixed layer eddy overturning scheme.”
- THE MARTIAN ATMOSPHERIC BOUNDARY LAYER (2011, methodology): “Such an equation has been widely used in atmospheric models and numerical weather prediction in the framework of the so‐called CBR model [Cuxart et al., 2000].”
- A Combined Eddy-Diffusivity Mass-Flux Approach for the Convective Boundary Layer (2007, methodology): “One main difference with the present formulation is that the eddy-diffusivity in Soares et al. (2004) is calculated using a prognostic turbulent kinetic energy (TKE) equation (Cuxart et al. 2000).”
- The AROME-France Convective-Scale Operational Model (2011, methodology): “The same scheme as in atmospheric part is used (Cuxart et al. 2000), but mixing and dissipative lengths are taken from Redelsberger et al. (2001; better adapted to surface boundary layer) instead of Bougeault and Lacarrere (1989).”
- Storm-Scale Numerical Rainfall Prediction for Five Precipitating Events over France: On the Importance of the Initial Humidity Field (2002, methodology): “The turbulence parameterization is based on a 1.5-order closure (Cuxart et al. 2000).”
- A Diagnostic for Evaluating the Representation of Turbulence in Atmospheric Models at the Kilometric Scale (2011, methodology): “The turbulence scheme of the model is described in Cuxart et al. (2000). It can be used in both 3D and 1D mode.”
- Overview of the Meso-NH model version 5.4 and its applications (2018, methodology): “The turbulence scheme is based on Redelsperger and Sommeria (1982, 1986) and implemented in Meso-NH according to Cuxart et al. (2000a).”
- A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction (2009, methodology): “Assuming a constant updraft fraction, they only needed a definition for the dry entrainment, and used an empirical definition for entrainment based on De Roode et al. (2000).”
- The Challenge of Forecasting the Onset and Development of Radiation Fog Using Mesoscale Atmospheric Models (2015, methodology): “The turbulent transport is represented by a prognostic turbulent kinetic energy scheme (Cuxart et al. 2000), while the land-atmosphere coupling uses the surface externalisée scheme (SURFEX; Le Moigne 2012).”
- The Rossby Centre Regional Climate model RCA3: model description and performance (2011, methodology): “In RCA2, the evapotranspiration is parameterized according to Noilhan and Planton (1989), which follows the ‘big leaf’ concept by Deardorff (1978) in which no distinction is made between soil and canopy. However, Wallace et al. (1990) showed that the interactions between the fluxes from the soil and”
- Nocturnal meso-beta basin and katabatic flows on a midlatitude island (2007, methodology): “Since such a simulation depends very much on the physiographical and the physics packages, its realism will depend very much on the good work of the schemes of turbulence (Cuxart et al. 2000), radiation (Morcrette 1990), and soil–vegetation (Noilhan and Planton 1989), together with a good representa”
- Single-Column Model Intercomparison for a Stably Stratified Atmospheric Boundary Layer (2004, neutral): “KNMI-RACMO Operational e–l Lenderink and Holtslag (2004) UIB-UPC Research e–l Cuxart et al. (2000) Mesoscale model NASA Research e–l Xue et al. (2000) Mesoscale model WVU Research e–l Sykes and Henn (1989) YorkU Research e–l Weng and Taylor (2003) LouvainU-L Research e–l Therry and Lacarrère (1983)”
- An Intercomparison of Large-Eddy Simulations of the Stable Boundary Layer (2004, neutral): “UIB Cuxart et al. (2000)”
- An eddy‐diffusivity/mass‐flux parametrization for dry and shallow cumulus convection (2004, methodology): “The condensation test used is based on the algorithm proposed by Davies-Jones (1983).”