BER launches Environmental System Science Program. Visit our new website under construction!

U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Improving Atmospheric Turbulence Models
Published: May 26, 2016
Posted: July 29, 2016

Scientists update a 30-year-old turbulence model; validation against ARM observations shows improved simulations of boundary layer wind speed.

The Science
Large-eddy simulation (LES) models are numerical models used to simulate atmospheric turbulence and atmospheric boundary layers for applications in wind energy, weather prediction, and climate. Atmospheric LES models are detailed numerical models, but directly resolving all scales of atmospheric turbulence is too computationally expensive for most applications. Consequently, LES models reduce the computational complexity by neglecting the smallest length scales, which requires approximation of higher-order moments known as turbulence “closure”. 

The Impact
A commonly used turbulence closure method for LES models of atmospheric boundary layer flows was developed more than 30 years ago. In a recent study, researchers developed a modified turbulence closure method, which was validated with Atmospheric Radiation Measurement (ARM) program   observations. The new model produces improved simulations of vertical profiles of wind speed, which could be important for wind energy, weather, and climate applications.

The Deardorff 1980 (D80) subgrid turbulence model is perhaps the most ubiquitous scheme used in LES studies of atmospheric boundary-layer flows. This model is often included as the default closure scheme in a variety of codes and numerical weather prediction models. In this study, researchers investigated the three commonly employed corrective adjustments of the D80 closure model. These include a stability-dependent length scale, formulation for the subgrid turbulent Prandtl number, and enhancement of near-surface dissipation. They implemented a modified formulation of the D80 closure, then compared simulated flow statistics in the lower portion of a representative nocturnal stable boundary layer (SBL) case from LES with realistic forcing using the original D80 scheme and the modified version of the scheme. LES data were compared with observations from the ARM program’s Southern Great Plains (SGP) site in Lamont, Oklahoma. The modified scheme shows overall improvement in reproducing vertical profiles of wind speed and potential temperature in the SBL near-surface region. Conclusions regarding turbulence kinetic energy and friction velocity are not as definitive, although there are signs of improved agreement with measurement data. Examination of the stability parameter and near-surface sensible heat flux suggests the modified scheme better captures effects of stability in the considered flow case. The proposed modification offers a more straightforward and interpretable framework for the parametrization of subgrid turbulence in LES of atmospheric boundary layers.

Contacts (BER PM)
Sally McFarlane
ARM Program Manager

(PI Contact)
Jeremy Gibbs
University of Utah

This research was supported by the National Science Foundation. Data were obtained from the Department of Energy’s ARM Climate Research Facility.

Gibbs, J. A., and E. Fedorovich. 2016. “Sensitivity of Turbulence Statistics in the Lower Portion of a Numerically Simulated Stable Boundary Layer to Parameters of the Deardorff Subgrid Turbulence Model,” Quarterly Journal of the Royal Meteorological Society, DOI: 10.1002/qj.2818. (Reference link)


Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Research Area: Atmospheric System Research
  • Facility: DOE ARM User Facility

Division: SC-33.1 Earth and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

Mar 23, 2021
Molecular Connections from Plants to Fungi to Ants
Lipids transfer energy and serve as an inter-kingdom communication tool in leaf-cutter ants&rsqu [more...]

Mar 19, 2021
Microbes Use Ancient Metabolism to Cycle Phosphorus
Microbial cycling of phosphorus through reduction-oxidation reactions is older and more widespre [more...]

Feb 22, 2021
Warming Soil Means Stronger Microbe Networks
Soil warming leads to more complex, larger, and more connected networks of microbes in those soi [more...]

Jan 27, 2021
Labeling the Thale Cress Metabolites
New data pipeline identifies metabolites following heavy isotope labeling.

Analysis [more...]

Aug 31, 2020
Novel Bacterial Clade Reveals Origin of Form I Rubisco

  • All plant biomass is sourced from the carbon-fixing enzyme Rub [more...]

List all highlights (possible long download time)