Courses (jupyter notebook) on Climate Modeling

annefou commented 5 years ago

How to create Galaxy training.

annefou commented 5 years ago

Generate a workflow in Galaxy and generate training material from it.
See https://training.galaxyproject.org/training-material/topics/contributing/

annefou commented 4 years ago

Under development.

We have already added a set of Jupyter notebooks in the shared folder:

Shorla commented 2 years ago

@annefou Hi, my name is Shola an outreach applicant. I am interested in this issue. I need help understanding it better. The materials needed to create the tutorial is available in juypter notebook, I just need to follow it to create a Tutorial?

annefou commented 2 years ago

Hi @Shorla Thanks for your interest. There is a tutorial (draft Pull Request) on how to use Climate CMIP data from Galaxy JupyterLab. It is nearly complete but this may be a good starting point for you (you could help to finalize it) https://github.com/galaxyproject/training-material/pull/1883

What do you think? Or maybe you have suggestions for a new tutorial?

Shorla commented 2 years ago

@annefou I went through the draft pull request. I could help finalize it. what do you suggest I do first to help me do that?

annefou commented 2 years ago

@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!

Shorla commented 2 years ago

Hi @annefou, I opened a pull request for changes made here: https://github.com/NordicESMhub/galaxy-training-material/pull/13

I am a bit confused about the new section for exploring the Pangeo CMIP6 catalog to add. should I just add the link?

Shorla commented 2 years ago

Hi, I made adjustments but it was created in a new pull request.https://github.com/NordicESMhub/galaxy-training-material/pull/15

NordicESMhub / galaxy-tools

Courses (jupyter notebook) on Climate Modeling #11