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FourCastNet 3 (Hugging Face)
NVIDIA FourCastNet 3 global AI weather forecasting model weights and model card on Hugging Face.
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What's in it
- Data offered docs-verified
- probabilistic ensemble global forecasts (up to 60 days) · 72 surface and pressure-level variables (winds, t2m, msl, tcwv, geopotential, temperature, humidity) · medium-range and subseasonal forecasts
- Coverage docs-verified
- Global
- Resolution docs-verified
- 0.25° equi-rectangular grid (721 x 1440), 6-hourly
- Formats docs-verified
- PyTorch tensor
- Access docs-verified
- Free and open: Apache 2.0 licence (commercial and non-commercial use); no authentication stated; needs NVIDIA GPU (Ampere, Hopper, Turing), Linux and PyTorch
Useful for
- Use cases llm-inferred
- Subseasonal temperature and wind outlook context for construction programme weather-risk planning · Ensemble synoptic context for flood-season planning, paired with local rainfall records from other sources · Benchmarking local weather-driven hydrological model inputs against a global ML ensemble
- Audience llm-inferred
- hydrologists · climate and meteorological analysts · GIS analysts · data-science teams in planning or civils consultancies
Limitations
- Constraints llm-inferred
- Model weights and inference code only; not a hosted API or data feed, and no Inference Provider deploys it per the docs · Requires NVIDIA GPU, Linux and PyTorch, and an upstream 72-variable initial-state tensor · Global 0.25° model; no UK-specific validation is stated in the docs · Listed input and output variables do not include precipitation, so rainfall or drainage inputs need separate sources · Training data is ERA5 1980-2015 with evaluation on 2018-2019; no later validation is stated
- Licence
- see model card
- Authentication
- Unknown — review source docs
- 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 curl (HTTP 200).
Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Chris sources (NVIDIA Earth-2))