Jupyter + HPC = Science!

These innovations can best be illustrated through a set of real-world science use cases that leverage our Jupyter HPC work.
Geophysical Subsurface Imaging
This use case involves running geophysical simulations and inversions for subsurface imaging. 1000 1D inversions were run to each produce a layered model of subsurface conductivity; these were then stitched together to create a 3D model to understand why the Murray River in Australia was becoming more saline. Jupyter was used to combine simulations, data analysis, and machine learning with interactive visualization. The initial workflow was developed on the user's  laptop environment and needed to be scaled up at NERSC.