Johns Hopkins Turbulence Databases

Dataset descriptions (9 datasets)

1. Forced isotropic turbulence:

Direct numerical simulation (DNS) using 1,024³ nodes. The full time evolution is available, over 5 large-scale turnover times.

2. Forced MHD turbulence:

Direct numerical simulation (DNS) of magneto-hydrodynamic isotropic turbulence using 1,024³ nodes. The full time evolution is available, over about 1 large-scale turnover time.

3. Channel flow:

Direct numerical simulation (DNS) of channel flow turbulence in a domain of size 8π × 2 × 3π, using 2048 × 512 × 1536 nodes. The full time evolution is available, over a flow-through time across across the 8π channel

4. Homogeneous buoyancy driven turbulence:

Direct Numerical Simulation (DNS) of homogeneous buoyancy driven turbulence in a domain size 2π × 2π × 2π, using 1,024³ nodes. The full time evolution is available, covering both the buoyancy driven increase in turbulence intensity as well as the buoyancy mediated turbulence decay.

5. Forced isotropic turbulence dataset on 4096³ Grid:

Direct numerical simulation (DNS) using 4096³ nodes. A single timestep snapshot is available.

6. Rotating stratified turbulence dataset on 4096³ Grid:

Direct numerical simulation (DNS) of rotating stratified turbulence using 4096³ nodes. A total of 5 snapshots are available.

7. Transitional boundary layer:

Direct numerical simulation (DNS) of a transitional boundary layer using a finite volume DNS code. Data are stored on 3320 × 224 × 2048 grid points. The full time evolution is available, over about 1 flow-through time across the length of simulation domain.

8. Channel flow at Re_τ=5200:

Direct numerical simulation (DNS) of channel flow turbulence in a domain of size 8π × 2 × 3π, using 10240 × 1536 × 7680 nodes. A total of 11 snapshots are available.

9. Forced isotropic turbulence dataset on 8192³ Grid:

Direct numerical simulation (DNS) using 8192³ nodes. A total of 6 timestep snapshots are available: 5 at high Reynolds number and 1 at lower Reynolds number but with very high spatial resolution.