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Prithvi-WxC-1.0-2300M-rollout

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What's in it

Data offered docs-verified
160 MERRA-2 atmospheric variables (model training data) · atmospheric state reconstruction from partial information (masked reconstruction) · future atmospheric state prediction (forecasting and autoregressive rollout)
Coverage llm-inferred
Global
Access docs-verified
Open-source model with Apache-2.0 licence. The Hugging Face page says no Inference Provider deploys it, so self-hosting is needed. No API key is stated in DOCS.

Useful for

Use cases llm-inferred
Research prototype for short-range atmospheric forecasting inputs to flood forecasting studies · Filling gaps in atmospheric variables via masked reconstruction for climate baseline analysis · Technical due diligence benchmarking of foundation-model weather forecasts against MERRA-2
Audience llm-inferred
hydrologists · flood forecasting modellers · climate scientists · ML and geospatial researchers

Limitations

Constraints llm-inferred
Requires self-hosting and ML infrastructure; no hosted inference provider per the Hugging Face page · Rollout variant restricts input delta and lead time to 6 hours, so it is tuned for short autoregressive forecasts · Trained on MERRA-2 reanalysis, not direct observations; not a ready-made data API for consultancy workflows · Not a UK-specific model; regional fitness for UK catchments is unverified
Licence
apache-2.0
Authentication
No API key required (repository README, auto-extracted; check upstream requirements)
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Verified 2026-10-15 via HF API: exists; 772 downloads/30d, 20 likes.

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face models)