Project AURIONAI Use-Cases Research & Innovation
weather

WeatherNext 3

Google flagship operational weather model, recommended for all new projects.

Google DeepMind
Levelmodel
Classweather
Parametersnot in the notes
Contextnot in the notes
ReleasedAug 2026
Opennessproprietary
Runs onnot in the notes
Statusactive

Lineage

successor
GenCast (WeatherNext 1 Gen) to WeatherNext 2 (FGN): successor, high confidenceGraphCast (WeatherNext 1 Graph) to WeatherNext 2 (FGN): successor, high confidenceWeatherNext 1 Gen (GenCast) to WeatherNext 3: successor, medium confidenceWeatherNext 1 Graph (GraphCast) to WeatherNext 3: successor, medium confidenceWeatherNext 2 (FGN) to WeatherNext 3: successor, high confidenceGraphCast (WeatherNext 1 Graph)GraphCast (WeatherNext 1 G…Google DeepMind, 2023GenCast (WeatherNext 1 Gen)GenCast (WeatherNext 1 Gen)Google DeepMind, 2024WeatherNext 1 Graph (GraphCast)WeatherNext 1 Graph (Graph…Google DeepMind, Nov 2023WeatherNext 1 Gen (GenCast)WeatherNext 1 Gen (GenCast)Google DeepMind, Dec 2024WeatherNext 2 (FGN)WeatherNext 2 (FGN)Google DeepMind, Nov 2025WeatherNext 3WeatherNext 3Google DeepMind, Aug 2026
Google DeepMindWeatherNext 1 Gen (GenCast) is the parent (successor)medium confidencenotes
Google DeepMindWeatherNext 1 Graph (GraphCast) is the parent (successor)medium confidencenotes
Google DeepMindWeatherNext 2 (FGN) is the parent (successor)high confidencenotes
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 6 models. Confidence and evidence are the notes' own.

Industry Use Cases

R&D Topics

Identity

Developer
Google DeepMind, Google
Family
not in the notes
Released
Aug 2026 sourcesannouncement page
Weights published
–
Record checked
10 Oct 2026
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
dense transformer FGN mesh transformer, 64-member ensemble; 0.05 deg stations, 0.1 deg surface, 0.25 deg pressure levels, hourly
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
proprietary
Licence
Google DeepMind Experimental Data Terms sources
Access routes
cloud marketplace
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
BigQuery, Earth Engine, Cloud Storage. Real-time data under GDM Experimental Data Terms; historical (over 1 hour old) CC BY 4.0.
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.

Sources

  1. WeatherNext 3  |  Google for Developers developers.google.com https://developers.google.com/weathernext/guides/models
  2. Model deprecation  |  WeatherNext  |  Google for Developers developers.google.com https://developers.google.com/weathernext/guides/deprecation
  3. WeatherNext 2  |  Google for Developers developers.google.com https://developers.google.com/weathernext/guides/models-wn2
  4. WeatherNext 2: Our most advanced weather forecasting model blog.google https://blog.google/technology/google-deepmind/weathernext-2/

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "WeatherNext 3", https://aurion.semai.id/models/google-deepmind-weathernext-3/, records of October 2026.