Initial implementation of Temperature Variance diagnostic functionality
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 33
- Forks
- 19
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 30
Description
Add the Temperature Variance diagnostic (e.g. Flack et al. 2021) as functionality for considering ensemble spread. The initial implementation considers control - perturbed member differences, without any weighting be applied.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Begin by locating the existing diagnostic functionality and reviewing the Flack et al. 2021 reference, then confirm the expected inputs and outputs. Done means Temperature Variance is available as a diagnostic using control–perturbed member differences without weighting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100