Intake conversion Querying_Scalar_Quantities_and_Annually_Averaged_Timeseries #365
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
navidcy
approved these changes
Aug 27, 2024
…ly_Averaged_Timeseries
…ly_Averaged_Timeseries
navidcy
deleted the
INTAKE_Querying_Scalar_Quantities_and_Annually_Averaged_Timeseries
branch
42 tasks
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Following the discussion in issue #313, we propose converting the recipes to use Intake, given that the Cookbook is no longer supported and the ACCESS-NRI Intake catalog is now available.
A few months ago, @max-anu began working on this transition. This pull request contains the changes @max-anu made to the notebook specified in the title.