This collection holds statistics from direct numerical simulations of turbulent wall-bounded flows which serve as abstraction of the atmospheric boundary layer. The simulations were carried out since 2011 on a variety of supercomputing systems (jugene, juqueen, juwels at Jülich Supercomputing centre, and hawk at Höchstleistungsrechenzentrum Stuttgart) using the tool-suite for turbulence simulation tlab - available on github.
Each item of the collection contains time-series of
The file dns.ini is a plain text file in the format required by the tLab tool-suite. The statistical data are available in self-documented netCDF format with one file holding data correspdoning to the velocity variables (ri{Richardson number}_re{Reynolds number}_{grid}_{timestamp}_avg_all.nc) and one file per each scalar variable holding the scalar statistics (ri{Richardson bulk number}_re{Reynolds number}_{grid}_{timestamp}_avg{scalar-ID}s_all.nc).
Funding: As of 2023, the initiation of this collection, work on the iterms belonging to it has been funded by an ERC Starting Grant (#851374), the DFG Transregional research collaboration #32 (TR32) from 2015-2018, a University of Cologne PostDoc Grant awared to C. Ansorge.
This dataset contains 16 simulation cases which are driven by the same large-scale forcing and exposed to a rough surface. Members of the parametric set of simulations differ by stable density stratification, which is imposed via a Dirichlet boundary condition (viz. constant temperature difference between upper and lower domain boundary). The cases are labelled by their ID (N, S001,..., S128, ..., S256P) according to the stratification measured by the Richardson number Ri_Λ; N stands for neutral stratification, S for stable. The simulations were carried out sequentially in time starting from the neutral case N, a suffix P indicates three concurrent runs for very stable stratification (S128P, S192P, S256P). Here the bulk Richardson number Ri_B is evaluated based on the boundary layer thickness of the neutrally stratified case N such that it does not evolve over the course of simulation. The choice of Re_Λ = 5x10^5 corresponds to Re_D = 1000 (Re_D = DG/ν, with the laminar Ekman-layer depth D = (2ν/f)^0.5 ) and a friction Reynolds number Re_τ ≈ 2700 for the neutrally stratified case. Two computational grids are used: (A) 3840x704x3840, (B) 3840x576x3840 with similar spatial resolution of approximately 2.6x1.0x2.6 wall units and a domain size in terms of the Rossby radius of 0.27x0.26x0.27 for grid (A), and 0.27x0.11x0.27 for grid (B). This dataset contains a PDF file outlining the simulation setup and description of the variables contained in the netCDF files. A detailed description of the methodology and implementation is found in the git repository https://github.com/turbulencia/tlab, which contains the relevant code and a manual.
Weniger anzeigenThis dataset contains statistics of resolved-turbulence simulation for turbulent Ekman flow, the flow over a flat rotating plate. The five simulation cases differ by the strength of stable density stratification imposed as a Dirichlet boundary condition at the surface, quantified by a Froude and Richardson numbers. Here, cases are labelled by their Froude numbers as fr02, fr05, fr07, fr09, fr18. The choice of Re_Λ = 5 × 10^5 corresponds to an Ekman-based Reynolds-number of 1000 and a friction Reynolds number Re_τ ≈ 1400 for the neutrally stratified case. The turbulent flow is simulated with tLab using a computational grid with dimensions of 3072 x 512 x 6144 and a spatial resolution at the surface of approximately 4.1 × 4.1 × 1.05 wall units. The horizontal domain size is scaled to 1.08 in terms of Rossby radius. This dataset contains a PDF file outlining the simulation setup and description of the variables contained in the netCDF files.
Weniger anzeigenThis dataset contains four simulation cases (identifier: s, r1, r2, r3), one smooth case (s) and three cases with small-scale surface roughness (r1, r2, r3). The netCDF file names in the dataset include grid information and the date of creation of the data on the High-Performance Computing (HPC) system. The Reynolds number in this simulation is Re=1000, based on the laminar Ekman layer thickness, the geostrophic wind and kinematic viscosity. The turbulent flow is simulated with tLab using a computational grid with dimensions of 3072 x 656 x 3072 and a spatial resolution at the surface of 2.3 × 1.0 × 2.3 in terms of smooth wall units in the streamwise, wall-normal and span-wise directions respectively. The domain size is scaled to 0.27 in terms of Rossby radius. This dataset contains a PDF file outlining the simulation setup and description of the variables contained in the netCDF files. A detailed description of the methodology and implementation is found in the git repository https://github.com/turbulencia/tlab, which contains the relevant code and a manual.
Weniger anzeigenThe netCDF file in the dataset includes grid information and the date of creation of the data on the High-Performance Computing (HPC) system. In this simulation with Re=1300 based on laminar Ekman layer thickness. We investigate the turbulent flow using a computational grid with dimensions of 2560 x 5120 x 640 and a spatial resolution of 8.9 × 4.5 × 0.99 in terms of wall units. The domain size is scaled to 0.54 in terms of Rossby radius. For detailed of the methodology and implementation, the git repository https://github.com/turbulencia/tlab contains the relevant code and a manual. This dataset also contains a PDF file outlining the simulation setup and description of the variables contained in the netCDF files.
Weniger anzeigenThe netCDF file in the dataset includes grid information and the date of creation of the data on the High-Performance Computing (HPC) system. In this simulation with Re=1000 based on laminar Ekman layer thickness. We investigate the turbulent flow using a computational grid with dimensions of 3072 x 6144 x 512 and a spatial resolution of 9.3 × 4.7 × 1.14 in term of wall units. The domain size is scaled to 1.08 in terms of the Rossby radius. For detailed of the methodology and implementation, the git repository https://github.com/turbulencia/tlab contains the relevant code and a manual. This dataset also contains a PDF file outlining the simulation setup and description of the variables contained in the netCDF files.
Weniger anzeigenThe netCDF file in the dataset includes grid information and the date of creation of the data on the High-Performance Computing (HPC) system. In this simulation with Re=1600 based on laminar Ekman layer thickness. We investigate the turbulent flow using a computational grid with dimensions of 3860 x 7680 x 960 and a spatial resolution of 8.6 × 4.3 × 1.00 in term of wall units. The domain size is scaled to 0.54 in terms of Rossby radius. For detailed of the methodology and implementation, the git repository https://github.com/turbulencia/tlab contains the relevant code and manual. This dataset also contains a PDF file outlining the simulation setup and description of the variables contained in the netCDF files.
Weniger anzeigenThe netCDF file in the dataset includes grid information and the date of creation of the data on the High-Performance Computing (HPC) system. In this simulation Re=500 based on laminar Ekman layer thickness. We investigate the turbulent flow using a computational grid with dimensions of 2048 x 2048 x 192 and a spatial resolution of 4.1 × 4.1 × 1.05 in terms of wall units. The domain size is scaled to 1.08 in terms of the Rossby radius. For details of the methodology and implementation, the git repository https://github.com/turbulencia/tlab contains the relevant code and a manual. This dataset also contains a PDF file outlining the simulation setup and description of the variables contained in the netCDF files.
Weniger anzeigen