Welcome to the workshop around Nvidia's AI platforms for atmospheric sciences. In this workshop we will explore how these tools can be used to produce and analyse atmospheric data.

The course consists of four Jupyter notebooks, basic Python knowledge is desired. To set up the course, you please have the following items at your disposal:

• A running instance of the workshop container with access to a GPU with >=25GB memory. The download link to the image is provided via email.
• the data package for the workshop (14GB). A single instance of the package which can be accessed by all participants is sufficient. The download link will be provided in an email.
• the course content provided in this git repo.
• cds user ID and API key (create free account here)

The description below assumes access to a system which can be reached through ssh and has docker installed. For other container systems, you might need to adapt envs/launch_container.sh. Execute the following steps to launch the environment:

• choose a port ID which will be different from the ID your colleagues choose.
• set up the ssh connection to the server through that port, either by adding the -p {port_ID} flag to the command or by adding Port {port_ID} to the block in .ssh/config
• if not done yet, pull the container onto the system: docker pull {image_link:tag}, clone the content repo: git clone {content_repo_link} and download and unzip the data package.
• In envs/launch_container.sh, fill in the first two lines providing absolute paths to the content repo and to the data package.
• if using a different container engine different from docker, edit the container launch command accordingly.
• launch the container by running bash ./envs/launch_container.sh
• set the port ID in ./envs/jupyter_server.sh and execute the script, calling it from /e2ws: bash envs/jupyter_server.sh
• copy the provided link to the server, paste it into a browser on your local machine, edit and change hostname to localhost and paste the correct port ID
• go to exercises/ and start exploring the notebooks, enjoy!