MetOffice / MetOffice/ai4c_hackathon
Demonstrate corrdiff inference from earth2
- Dominant language
- Jupyter Notebook
- Stars
- 2
- Forks
- 3
- Avg merge
- 1m
- Merged PRs (30d)
- 1
Description
nvidia earth2 offers a pretrained downscaling model (CMIP6 to ERA5), which could be used for demonstrating at the hackathon.
- [ ] set up environment on JASMIN
- [ ] download sample data
- [ ] create pet accessor
- [ ] create tutorial notebook for running model
- [ ] create PET pipeline
- [ ] visualise data
- [ ] calculate scores
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the earth2 downscaling model and the checklist in this issue, then determine the JASMIN environment and sample data needed. The work involves a pet accessor, tutorial notebook, PET pipeline, visualisation and score calculation; it is done when each listed demonstration step is completed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, pytorch
- Domain
- data, data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100