weatherfamily
FourCastNet
Global data-driven high-resolution weather model family from NVIDIA, first built on adaptive Fourier neural operators. Paper by Pathak et al. (2022).
Levelfamily
Classweather
Parametersnot in the notes
Contextnot in the notes
Released22 Feb 2022
Opennessopen source
Runs onnot in the notes
Statusactive
Lineage
FourCastNet 3 belongs to this familyweather16 Jul 2025FourCastNet SFNO belongs to this familyweather6 Jun 2023Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- other Adaptive Fourier neural operator (first version); later spherical Fourier neural operators
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- sensor
- Output
- sensor
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open source
- Licence
- Apache License 2.0 sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- Licence is that of NVIDIA PhysicsNeMo (Apache-2.0), which hosts the models.
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperNVIDIAbig tech, USA
NVIDIAbig tech, USAModelFourCastNetNVIDIA, weather
FourCastNetNVIDIA, weatherUse CasesWeather ForecastingAgricultureUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)Contract signed, 5 Feb 2026Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)In production, 23 Sep 2025Deployments of these use cases; none names this model.
Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)Contract signed, 5 Feb 2026Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)In production, 23 Sep 2025Deployments of these use cases; none names this model.Organisations 1
Sources
- arxiv.org/abs/2202.11214 https://arxiv.org/abs/2202.11214
- github.com/NVIDIA/physicsnemo https://github.com/NVIDIA/physicsnemo
- catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/models/earth2-sfno-era5... https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/models/earth2-sfno-era5-73ch
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "FourCastNet", https://aurion.semai.id/models/nvidia-fourcastnet/, records of October 2026.