WeatherNext 2

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Google DeepMind's most advanced AI weather forecasting model

4.6

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Saas

Company

Google DeepMind

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About WeatherNext 2

WeatherNext 2, developed by Google DeepMind and Google Research, is an advanced AI weather forecasting model that generates hundreds of possible weather scenarios in under a minute using a single TPU. It delivers forecasts 8x faster and with resolutions down to one-hour intervals, surpassing the previous WeatherNext model on 99.9% of variables and lead times (0–15 days). The model employs a novel Functional Generative Network (FGN) that injects noise to create coherent variability in predictions, enabling better capture of worst-case scenarios. WeatherNext 2 data is now available in Earth Engine and BigQuery, with an early access program on Google Cloud's Vertex AI platform. The technology also powers upgraded weather forecasts in Google Search, Gemini, Pixel Weather, and Google Maps Platform's Weather API.

Key Features

Predicts hundreds of possible weather scenarios from a single input in under a minute on one TPU

Generates forecasts 8x faster than previous models with up to 1-hour resolution

Surpasses prior WeatherNext model on 99.9% of variables (temperature, wind, humidity) and lead times (0–15 days)

Uses a Functional Generative Network (FGN) to inject noise for coherent ensemble variability

Data available via Earth Engine, BigQuery, and early access on Vertex AI platform

Powers upgraded forecasts in Google Search, Gemini, Pixel Weather, and Maps Platform Weather API

Pros & Cons

Pros

Extremely fast – generates hundreds of ensemble forecasts in under a minute
Higher resolution (hourly) compared to many physics-based models
Open data access via Earth Engine and BigQuery for developers and researchers
Proven skill improvement over previous state-of-the-art model on virtually all metrics
Integrates with Google's ecosystem (Search, Gemini, Pixel Weather, Maps)

Cons

Pricing details not publicly available – requires contact or may incur cloud usage costs
Early access program may limit immediate availability for all users
Relies on Google Cloud infrastructure, potentially limiting portability
As an AI model, it may still require validation for critical life-safety decisions

Best For

Global supply chain and logistics planningFlight path and aviation route optimizationDaily commute and personal weather planningCyclone and extreme event scenario analysisDecision-making based on probabilistic weather ensembles

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FAQ

What is WeatherNext 2?

WeatherNext 2 is Google DeepMind's most advanced AI weather forecasting model, capable of predicting hundreds of possible weather scenarios in under a minute at high resolution.

How fast is WeatherNext 2 compared to previous models?

WeatherNext 2 generates forecasts 8x faster than previous versions and can produce hundreds of ensemble scenarios in under a minute on a single TPU.

What resolution does WeatherNext 2 provide?

The model can deliver predictions down to one-hour time resolution, surpassing the prior model on 99.9% of variables and lead times (0–15 days).

How can I access WeatherNext 2?

WeatherNext 2 forecast data is available in Earth Engine and BigQuery, and an early access program is offered on Google Cloud's Vertex AI platform for custom model inference.

Which Google products use WeatherNext 2?

The technology upgrades weather forecasts in Google Search, Gemini, Pixel Weather, and Google Maps Platform's Weather API, with Maps integration coming soon.