openclimatefix / openclimatefix/metnet
Example with Real Atmospheric Data
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- Dominant language
- Python
- Stars
- 305
- Forks
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Description
Hi,
Thank you for sharing this open source project! I know that in one of the tests, there's an example using a randomly generated tensor as a test. However, is it possible to show an example using real atmospheric (GOES) data? In one of the issues, I did see that it's just a concatenation, but is the best way to convert the geospatial data into a tensor and pass it into the model and is there a specific ordering of the variables the model expects?
It would be an amazing addition to have a demo using actual GOES data.
Contributor guide
No contributing guide indexed for this repository
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 by reviewing the existing test example that uses a randomly generated tensor and the linked issue discussion about concatenation. Define what a real GOES-data demo must show, including geospatial-to-tensor conversion and the model's expected variable ordering; done means the project includes a working example using actual atmospheric data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100