Indexing bug in Air pollution model
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- Dominant language
- Python
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Description
Hi,
First of all, thank you for your amazing work on Aurora and for releasing the Air pollution model !
I noticed that you simulate an indexing bug between atmospheric and static 'z' in the implementation of this Air pollution model.
Was this bug also present during your finetuning of the model, or does it only concern the inference that produced the results presented in your paper?
If the bug was indeed present during finetuning, would it be relevant to set simulate_indexing_bug to False during further finetuning to try and fix it?
Thank you ! 😀
Contributor guide
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
Start at the Air pollution model implementation and search for the simulate_indexing_bug flag. Compare how the atmospheric and static z indexing is used during finetuning and inference, then establish whether the reported bug affects both workflows and what configuration represents the intended behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100