Large-eddy simulation modelling platform for urban environment applications

The application used is based on DNS (Direct Numerical Simulation)-, LES- and RANS (Reynolds–Averaged Navier–Stoke) unified C/C++ code developed at the MSU Research Computing Center (RCC MSU) and the Marchuk Institute of Numerical Mathematics. The code is designed for studies of geophysical turbulent flows and was evaluated in a number of the atmospheric boundary layer experiments. The model utilizes hybrid MPI/OpenMP/CUDA approach for computations on parallel architectures. In this paper we consider MPI-only implementation. The code supports spatial decomposition of the computational grid among MPI-processes with common optimizations for improving scaling on HPC systems. Numerical methods utilized in the application are based on conservative in momentum and energy second-order finite-difference approximations explicit third-order Adams–Bashforth time integration scheme. The new version of the RCC MSU – INM RAS LES model contains a rich set of additional parameterizations of physical processes in the atmospheric boundary layer, such as: modules for calculating the radiation transfer in the short- and long-wave range, cloud microphysics, as well as an interactive model of the soil layer.
  • Developing since 2009
  • Filtered Navier-Stockes for viscous incompressible fluid
  • Boussinesq approximation for stratified fluid
  • DNS-, LES-, RANS- turbulence modelling support
  • High performance computations: MPI/OpenMP/CUDA
  • Fully suited for comprehensive atmospheric turbulence modelling
  • Mixed dynamic subfilter/subgrid closure for LES
  • Cloud microphysics
  • Radiative transfer module
  • Rich parameterization package for atmosphere / surface interaction
  • Explicit building treatment
  • Atmospheric chemistry / pollution transport in both Eularian and Lagrangian frameworks

Contributors

Model is developed by Mathematical Modelling of Geophysical Boundary Layers laboratory of RCC LMSU and colleagues from INM RAS
Evgeny Mortikov

Evgeny Mortikov

LMMGBL RCC MSU

Laboratory head / Lead developer / maintainer

Andrey Debolskiy

Andrey Debolskiy

LMMGBL RCC MSU

Researcher / Developer

Elizaveta Gashchuk

Elizaveta Gashchuk

Faculty of Mechanics and Mathematics MSU

developer / graduate student

Daria Gladskikh

Daria Gladskikh

LMMGBL RCC MSU

Researcher / developer

Victoria Suiazova

Victoria Suiazova

LMMGBL RCC MSU

Программист / разработчик

Andrey Glazunov

Andrey Glazunov

INM RAS

Lead Researcher / Developer

Alexandr Varentsov

Alexandr Varentsov

Geography department MSU

Ph.D student / developer

  • Glazunov, A. V., Debolskiy, A. V., & Mortikov, E. V. (2021). Turbulent length scale for multilayer RANS model of urban canopy and its evaluation based on large-eddy simulations. Supercomputing Frontiers and Innovations, 8(4), 100–116.
  • Glazunov, A. V., Mortikov, E. V., & Debolskiy, A. V. (2023). Studies of stable stratification effect on dynamic and thermal roughness lengths of urban-type canopy using large-eddy simulation. Journal of the Atmospheric Sciences, 80(1), 31–48.
  • Glazunov, A. V., Mortikov, E. V., & Debolskiy, A. V. (2025). Studies of vegetation effect on turbulence dynamics in an urban canopy layer using large eddy simulation. Urban Climate, 64, 102628.
  • Mortikov, E. V. (2016). Numerical simulation of the motion of an ice keel in a stratified flow. Izvestiya, Atmospheric and Oceanic Physics, 52, 108–115.
  • Mortikov, E. V., & Debolskiy, A. V. (2022). Direct numerical simulation of stratified turbulent flows and passive tracer transport on HPC systems: Comparison of CPU architectures. Supercomputing Frontiers and Innovations, 8(4), 50–68.
  • Mortikov, E. V., Gashchuk, E. M., & Debolskiy, A. V. (2025). GPU-based large-eddy simulation of mixed-phase clouds. Supercomputing Frontiers and Innovations, 12(4).
  • Suiazova, V. I., Debolskiy, A. V., & Mortikov, E. V. (2025). Modeling turbulent flows over a heterogeneous surface using mesoscale and large-eddy simulations. Russian Meteorology and Hydrology, 50(5), 5–xx.
  • Tarasova, M. A., Debolskiy, A. V., Mortikov, E. V., et al. (2024). On the parameterization of the mean wind profile for urban canopy models. Lobachevskii Journal of Mathematics, 45(7), 3198–3210.
  • Varentsov, A. I., Mortikov, E. V., Glazunov, A. V., Debolskiy, A. V., Kuzmicheva, M. A., & Stepanenko, V. M. (2025). Large-eddy simulation of aerosol transport over different urban local climate zones. Geography, Environment, Sustainability, 18(3), 68–79.
  • Debolskiy, A. V., Mortikov, E. V., Zilitinkevich, S. S., et al. (2023). Evaluation of surface layer stability functions and their extension to first-order turbulent closures for weakly and strongly stratified stable boundary layer. Boundary-Layer Meteorology, 187(1), 73–93.
  • Kadantsev, E., Mortikov, E., & Zilitinkevich, S. (2021). The resistance law for stably stratified atmospheric planetary boundary layers. Quarterly Journal of the Royal Meteorological Society, 147(737), 2233–2243.
  • Tkachenko, E. V., Mortikov, E. V., Debolskiy, A. V., et al. (2022). Large-eddy simulation and parameterization of decaying turbulence in the evening transition of the atmospheric boundary layer. Izvestiya, Atmospheric and Oceanic Physics, 58(3), 219–236.
  • Mortikov, E. V., Glazunov, A. V., & Lykosov, V. N. (2019). Numerical study of plane Couette flow: turbulence statistics and the structure of pressure–strain correlations. Russian Journal of Numerical Analysis and Mathematical Modelling, 34(2), 119–132.

Contacts

main developer Mortikov Evgeny Valeryevich

Laboratory of Mathematical Modelling of Geophysical Boundary Layers at Research Computing Center of Moscow Lomonosov Moscow State University

emortikov(at)gmail.com