Prithvi WxC
NASA IMPACTPrithvi WxC is a NASA-IBM weather and climate foundation model trained on 160 MERRA-2 variables. Its 2.3-billion-parameter architecture combines masked reconstruction with forecasting, accepts flexible time intervals, and has separate base and rollout checkpoints plus downstream adaptations for regional forecasting and climate processes.
Verified 2026-09-10 via the Hugging Face model card and NASA IMPACT repository.
Openness
3 high confidence- license
- CDLA-Permissive-2.0(permissive non-OSI)
- weights
- open(CDLA-Permissive-2.0 ungated checkpoint)
- data
- documented-not-released(MERRA-2 variables and climatology identified
- code
- partial(model, validation, and downstream task code without full pretraining pipeline)
The downloadable checkpoint has a permissive data-oriented license and no use ceiling; the missing pretraining pipeline keeps it at the open-weights center.
- https://huggingface.co/ibm-nasa-geospatial/Prithvi-WxC-1.0-2300M/raw/main/README.md recorded 2026-09-10
Declares CDLA-Permissive-2.0, a 2.3B model trained on 160 MERRA-2 variables, and two pretrained checkpoint variants.
- https://raw.githubusercontent.com/NASA-IMPACT/Prithvi-WxC/main/README.md recorded 2026-09-10
Identifies the repository as model and downstream-task code, links task-specific fine-tuning repositories, and documents MERRA-2 climatology.
Adoption
1 high confidence2,138 downloads in the trailing 30 days for the declared checkpoint.
- https://huggingface.co/api/models/ibm-nasa-geospatial/Prithvi-WxC-1.0-2300M recorded 2026-09-10
downloads: 2138; gated: false; private: false.
Capability
3 high confidenceTwo attributes. Generative is declined under ruling (d) - producing a future timestamp from two input timestamps is a deterministic forecast, which is prediction rather than generation, and the same reading declines aifs, pangu-weather, climax and aurora. 160 variables are not counted as multiple instruments.
- https://raw.githubusercontent.com/NASA-IMPACT/Prithvi-WxC/main/README.md recorded 2026-09-10
Documents downstream fine-tuning applications, masked reconstruction and forecasting, flexible lead times, and global and regional use.
Verified 2026-09-10