https://github.com/ai2cm/ace2-som-paper
Experiment configuration and figure notebooks for ACE2-SOM paper
Science Score: 39.0%
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○Scientific vocabulary similarity
Low similarity (3.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Experiment configuration and figure notebooks for ACE2-SOM paper
Basic Info
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed 12 months ago
Metadata Files
Readme
License
README.md
ace2-som-paper
This repository contains the code for running reference SHiELD-SOM simulations, doing initial data processing, training ACE2-SOM and running inference experiments, and generating figures for the paper titled "ACE2-SOM: Coupling an ML atmospheric emulator to a slab ocean and learning the sensitivity of climate to changed CO2." A link to the pre-print can be found here.
Owner
- Name: ai2cm
- Login: ai2cm
- Kind: organization
- Location: Seattle WA, USA
- Website: https://allenai.org/climate-modeling
- Twitter: ai2_climate
- Repositories: 26
- Profile: https://github.com/ai2cm
AI2 Climate Modeling
GitHub Events
Total
- Delete event: 9
- Issue comment event: 2
- Push event: 15
- Pull request review event: 7
- Pull request event: 17
- Create event: 9
Last Year
- Delete event: 9
- Issue comment event: 2
- Push event: 15
- Pull request review event: 7
- Pull request event: 17
- Create event: 9
Dependencies
requirements.in
pypi
- beaker-py *
- bokeh >=3.1.0
- cartopy *
- cftime *
- dask *
- distributed *
- faceted *
- fsspec *
- gcsfs *
- h5netcdf *
- ipywidgets *
- jupyterlab *
- matplotlib *
- netCDF4 *
- numpy ==1.26.3
- scipy *
- seaborn *
- universal_pathlib *
- wandb *
- xarray *
- xesmf *
- zarr *
requirements.txt
pypi
- 202 dependencies