4.7 KiB
WeatherNext 2
Overview | Use Cases | Documentation | Pricing | Quick start
Overview
Disclaimer:
Experimental
This product is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA products are available "as is" and might have limited support. For more information, see the launch stage descriptions.
Access to the forecasting capabilities requires application and approval. Users must be added to an allowlist to generate forecasts using this service. Review pricing details at Vertex AI Custom Training pricing, Cloud Storage pricing, and use the Pricing Calculator before running.
Overview
WeatherNext is a family of state-of-the-art AI weather forecasting models from Google DeepMind and Google Research. WeatherNext models are faster and more efficient than traditional physics-based weather models and yield superior forecast reliability.
WeatherNext 2 Generates ensemble forecasts at a spatial resolution of 0.25 degrees. Forecast init times have 6 hour resolution (00z, 06z, 12z, 18z). Forecast lead times have 1 hour resolution and a lead time of 15 days. Additional information on the model is described in "Skillful joint probabilistic weather forecasting from marginals”.
Use Cases
Use Cases
What use cases are best for WeatherNext 2?
WeatherNext 2 offers a fast, high-resolution global medium-range forecasting
model, serving as a powerful alternative to traditional systems like ECMWF ENS
or NOAA GEFS. Key applications include medium-range forecasts (15 days),
predicting severe events like tropical cyclones, feeding data into downstream
systems such as flood models, and generating large ensembles for comprehensive
uncertainty quantification
Documentation
Training data
ECMWF ERA5 (1979-2018)
ECMWF HRES
NOAA IBTrACS
Model Evaluation
Model training and evaluation methodology, and a complete set of model scorecards evaluating each across variables and lead times, are reported in the research paper associated with the WeatherNext 2 model:
Documentation
See the WeatherNext developer’s guide for documentation regarding the models.
Acknowledgements
The models communicate with and reference data and products of the European Centre for Medium-range Weather Forecasts (ECMWF), as modified by Google.
Contact
If you have any questions on using these models please contact: weathernext-cloud@google.com. Any information collected via email will be used in accordance with Google's privacy policy.
Links
Pricing
Access to forecasting with the WeatherNext models on Vertex AI is currently restricted. To utilize these models for generating real-time forecasts via this service:
- You must apply for access.
- Your application will be reviewed, and if approved, you will be added to an allowlist.
- Only allow listed users can access the forecasting service.
- Pricing information for the forecasting service will be shared directly with users upon approval and placement on the allowlist.
Running these models will incur costs for the GPUs and other Google Cloud resources used. Learn about Vertex AI Custom Training pricing, Cloud Storage pricing, and use the Pricing Calculator to generate an estimate.
Quick start
The quickest way to get started with the WeatherNext in Google Cloud Platform is to run our example notebook in Google Colab.