Tutorials - CryoCloud

These tutorials consist of Jupyter Notebooks that can be run in our {{ ‘CryoCloud JupyterHub’.format(url=jupyterhub_url) }}. If you are joining the CryoCloud, you have access to a JupyterHub environment with all the necessary Python software packages installed that are needed to run through these tutorials interactively. On JupyterHub, your home directory persists so any changes you make to the tutorials will be saved and be there for you next time you log in.

Note that the tutorials available in this JupyterBook are updated to reflect changes in the underlying software. As a result, some code presented in these videos may differ from the updated Jupyter Notebook content.

All live tutorial recordings available via CryoCloud YouTube. Or see the table below for links to specific tutorial notebooks and recordings:

Tutorial	Recording Link
CryoCloud demo	Recording
NASA data access and subglacial lake investigation using ice-surface height anomalies	Recording
ICESat-2 and Landsat cloud access and data integration	Recording
ICESat-2 ATL10-h5coro large-scale time series	Recording
NASA Earthdata Cloud and data access using earthaccess and icepyx	Recording
NASA SlideRule	Recording
Parallelized cloud computing with Dask for geoscientists	Recording
Analysis-ready, cloud-optimized data: writing zarr directories	Recording
Determining ice sheet change using Greenland Ice Mapping Project (GrIMP) tools	Recording
Publishing tools and storing data with Ghub	Recording
ITS_LIVE Python Library Demo: Time Series of Ice Flow Speed at a Point	Recording