New tutorial: Analyzing CMIP6 data with Climate Science JupyterLab

[annefou]

New tutorial for Climate Science.

questions:

• Why using Climate data from the Coupled Model Intercomparison Project (CMIP) Phase 6?
• How to use CMIP6 data with Galaxy Climate JupyterLab?
• What is pangeo software ecosystem and how to use it to analyze climate data?
  objectives:
• Learn about Climate data from the Coupled Model Intercomparison Project
• Learn to use Climate historical and Climate projections data
• Learn about Pangeo Software Ecosystem
• Learn to analyze CMIP6 with Galaxy Climate JupyterLab

[annefou]

@Shorla Excellent! The first thing you can do is to go through the training material and try to do what has been written.

• Go through the existing material and note/comment on what you do not understand/is unclear
• Correct typos or other factual errors
• Fix the beginning of the tutorial:
  • Replace the Get data section by "Starting Galaxy Climate JupyterLab": for this, you can copy what is
    in https://training.galaxyproject.org/training-material/topics/climate/tutorials/fates-jupyterlab/tutorial.html
    Step-2: Opening up Climate JupyterLab. After Open the JupyterLab Tool: interactive_tool_jupyter_notebook by clicking here,
    add a new step for the creation of a history (copy what is in the current Get data section for the creation of a new history
    (remove import the files from zenodo, check datatypes, etc.). We only need to have a clean empty history when starting because
    when using Pangeo CMIP6 data, we stream data and do not upload them.
  • Add a new section (before Plot the snowfall for January between 1985 - 2014 from NorESM2-MM, where we will explore the
    Pangeo CMIP6 catalog (we can do something similar to http://gallery.pangeo.io/repos/pangeo-gallery/cmip6/intake_ESM_example.html) org/training-material/topics/climate/tutorials/fates-jupyterlab/tutorialhttp://gallery.pangeo.io/repos/pangeo-gallery/cmip6/basic_search_and_load.html
  • Add hands-on about the content of the catalog (ask about the name of variables, etc.)
• Remove what is not part of the tutorial (from It comes first a description of the step: some background and some theory.
  Some image can be added there to support the theory explanation: to # Conclusion.
• Add a conclusion about the tutorial.

Do not hesitate to ask questions. Thanks!

[shiltemann]

Hi @annefou! I am just going through old PRs, and found this one opened 3,5 years ago. What is the status of this one, something you are still planning to finish? Should it be closed? Do you need help from our side?