Aurora
MicrosoftAurora is Microsoft's Earth-system foundation model for atmospheric and environmental forecasting. The published family includes specialized checkpoints for medium- and high-resolution weather, air pollution, ocean waves, and tropical-cyclone tracks, built from a common pretrained architecture and multiple public reanalysis and forecast datasets.
Verified 2026-09-10 via the Hugging Face model card and Microsoft repository.
Openness
3 high confidence- license
- MIT(OSI)
- weights
- open(MIT ungated checkpoints)
- data
- documented-not-released(public ERA5, CMIP6, HRES, and GFS sources enumerated
- code
- partial(model and inference implementation without pretraining pipeline)
Aurora releases the multi-task checkpoint family and describes the public training sources, but not the pipeline that produced the pretrained base.
- https://raw.githubusercontent.com/microsoft/aurora/main/README.md recorded 2026-09-10
Lists four specialized forecast versions, links all training datasets, and documents loading released checkpoints; no pretraining procedure is provided.
- https://huggingface.co/api/models/microsoft/aurora recorded 2026-09-10
license: mit; gated: false; checkpoint files for weather, air pollution, ocean waves, and cyclone tracking.
Adoption
2 medium confidenceThe Hub reports zero downloads, so 1,014 GitHub stars are used as a last-resort reach signal.
- https://api.github.com/repos/microsoft/aurora recorded 2026-09-10
stargazers_count: 1014; archived: false; fork: false.
Capability
3 high confidenceTwo attributes. Adaptation is executable rather than merely described - docs/finetuning.md ships a Docker image and a fine-tuning loop built on AuroraPretrained - which is the bar ruling (b) sets. Generative is declined under ruling (d): Aurora predicts a deterministic future state, which is prediction rather than generation, and it is declined for the same reason aifs, pangu-weather and climax are. A list of specialized task names is not a further attribute.
- https://raw.githubusercontent.com/microsoft/aurora/main/docs/finetuning.md recorded 2026-09-10
A dedicated Fine-Tuning page - "if you wish to fine-tune Aurora for a specific application, you should build on the pretrained version", with AuroraPretrained().load_checkpoint(), a Docker image and a fine-tuning loop. This is the executable pathway ruling (b) requires, which the README alone only describes.
- https://raw.githubusercontent.com/microsoft/aurora/main/README.md recorded 2026-09-10
Describes adaptation with limited task data, predictive outputs, and separate medium- and high-resolution weather versions.
Verified 2026-09-10