@@ -6,7 +6,7 @@ Welcome to the tutorials and use cases repository!
...
@@ -6,7 +6,7 @@ Welcome to the tutorials and use cases repository!
In the folder "notebooks" you can find Jupyter notebooks with coding examples showing how to use Big Data and High-Performance Computing software for applications in geoscience.
In the folder "notebooks" you can find Jupyter notebooks with coding examples showing how to use Big Data and High-Performance Computing software for applications in geoscience.
This Jupyter notebook is meant to run in the Jupyterhub server of the German Climate Computing Center [DKRZ](https://www.dkrz.de/) which is an [ESGF](https://esgf.llnl.gov/) repository that hosts 4 petabytes of [CMIP6](https://pcmdi.llnl.gov/CMIP6/) model data (more info on the data pool [here](https://www.dkrz.de/up/services/data-management/cmip-data-pool)).
The Jupyter notebooks are meant to run in the Jupyterhub server of the German Climate Computing Center [DKRZ](https://www.dkrz.de/) which is an [ESGF](https://esgf.llnl.gov/) repository that hosts 4 petabytes of [CMIP6](https://pcmdi.llnl.gov/CMIP6/) model data (more info on the data pool [here](https://www.dkrz.de/up/services/data-management/cmip-data-pool)).
Please, choose the Python 3 unstable kernel on the Kernel tab (upper tool bar in the Jupyterhub). This kernel contains all the common geoscience packages.
Please, choose the Python 3 unstable kernel on the Kernel tab (upper tool bar in the Jupyterhub). This kernel contains all the common geoscience packages.