1. (Quick start) Download and interactively visualize a snapshot in time
This interactive demo runs entirely in Google Colab, no local installation is required. It walks you through authenticating with Globus, downloading one snapshot from the SST-TG-P1F4R3200 dataset archived on Constellation (Taylor-Green: Pr = 1, Fr = 4, Re = 3200), and visualizing the downloaded files using Matplotlib in a Jupyter notebook.
2. Interactive field visualization with clustering and overlays
Explore flow segmentation based on the local prevalence of density overturning, following Portwood et al, JFM, 2016. Select different clustering parameters, slice through 3D fields (density, dissipation of kinetic energy, scalar variance), and overlay clustering boundaries. All computations happens in Colab, no local setup required.
3. Browser visualization
Explore stratified turbulence driven by mean shear using the visualization tool (developed by Adrien Lefauve, Imperial) below.
4. Useful repositories for local analysis
If downloading data to a local machine, the following respositories provide useful Python scripts for loading and analysis