2021 Data (Information)
Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the convective atmospheric boundary layer: data
This dataset is used for the paper “Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the convective atmospheric boundary layer”. The dataset contains velocity and subgrid-scale stresses from direct numerical simulations of convective atmospheric boundary layer. Detailed introduction of the dataset can be found in the corresponding paper.
More About This Work
- Academic Units
- Civil Engineering and Engineering Mechanics
- Earth and Environmental Engineering
- Earth and Environmental Sciences
- Lamont-Doherty Earth Observatory
- Ocean and Climate Physics
- Published Here
- September 30, 2021