Welcome to the STRATA Research Group
Supercomputing for Stratified Turbulence Research Advancing Theory and Application
The objective of this group is to generate and analyze fully-resolved direct numerical simulations of stratified turbulence, across a variety of flow configurations and parameters, in order to better understand fundamental turbulent processes influenced by buoyancy and their importance to geophysical, industrial, and environmental applications.
We gratefully acknowledge support from the INCITE Leadership Computing Program (U.S. Department of Energy) and the High Performance Computing Modernization Program (U.S. Department of Defense), through which this work has been enabled.
Current Research Themes
- Exascale computing to resolve stratified turbulent flows in previously-inaccessible regions of parameter space
- Probing coupling between large and small-scale flow features to inform reduced-order modelling
- Development of data-driven and machine-learning techniques to extra physical insight from petabyte-scale datasets
Datasets
We are developing a database of stratified turbulence simulations, and associated codes for analysis. Our data spans a variety of:
- Forcing schemes: steady-state vortically-forced and shear-driven; time-evolving (unforced) flows
- Parameters: buoyancy-Reynolds ($Re_b$), Froude ($Fr$), Prandtl ($Pr$) numbers
People
This work is collaborative across multiple international institutions, including:
- University of Massachusetts Amherst (US): Steve de Bruyn Kops
- Duke University (US): Andrew Bragg
- Princeton University (US): Paul Yi
- Oak Ridge National Laboratory (US): Murali Gopalakrishnan Meena, Wes Brewer, Aditya Kashi, Isaac Lyngass, Pei Zhang
- Imperial College London (UK): Adrien Lefauve
- York University (Canada): Miles Couchman
Groups interested in collaboration are encouraged to reach out.
