google-deepmind / google-deepmind/weathernext
CDS-API to Gencast Input.
- Dominant language
- Python
- Stars
- 7.7k
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Description
Could you please clarify or provide guidance on transforming ERA5 data retrieved via cdsapi into the format required for GenCast inference?
If this isn't the expected use case for running inference on any chosen data, please advise on best practice. I have already applied for access to WeatherNext but am hoping to run inference myself.
I have seen this asked already but have not yet found a solution. Thanks so much.
Regards,
Hamish.
Contributor guide
Research direction
No file, test, or repository entry point is named. Start by locating the existing GenCast inference instructions or examples, then compare their expected inputs with ERA5 data retrieved through CDS API; it is done when the supported transformation workflow and limitations are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100