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Google launches WeatherNext 2 with FGN architecture

The AI-powered model, featuring Functional Generative Network architecture, delivers 8x faster forecasts and simulates hundreds of scenarios for superior accuracy in Google Search, Gemini, and Maps.

byAytun Çelebi
November 18, 2025
in Artificial Intelligence, News
Home News Artificial Intelligence
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Google has introduced WeatherNext 2, an AI-powered weather forecasting model developed by Google DeepMind and Google Research, while announcing Gemini 3 Pro and Antigravity. The model employs a new Functional Generative Network architecture to simulate hundreds of possible weather scenarios from a single input, delivering faster and more accurate forecasts now available in Google Search, Gemini, and Pixel Weather.

WeatherNext 2 generates richer predictions by processing inputs through its Functional Generative Network (FGN) architecture. This design enables the simulation of multiple weather scenarios simultaneously, which enhances reliability in forecasting outcomes. Users accessing Google Search encounter these improved forecasts directly in search results. Gemini integrates the model for conversational weather queries, while Pixel Weather on compatible devices provides dedicated, precise updates.

Developers and enterprises gain access to WeatherNext 2 datasets via specific Google platforms. Earth Engine offers geospatial data integration for environmental analysis. BigQuery supports large-scale data querying and analytics. Early-access APIs in Vertex AI allow programmatic integration into custom applications, facilitating advanced weather-dependent operations.

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WeatherNext 2 produces forecasts up to eight times faster than previous models. It demonstrates measurable gains across 99.9% of tested variables, including temperature, wind speed, and humidity levels. These variables cover essential meteorological elements tracked in daily and extended predictions.

Weather influences commutes, travel itineraries, agricultural schedules, energy grid management, and emergency response protocols. Enhanced forecast accuracy and speed support planning in these areas. As extreme weather events increase in frequency, short-range and long-range predictions aid safety measures and preparedness efforts.

Integration into widely used products expands access to superior forecasts. Google Search delivers hour-by-hour details for immediate planning. Services with Google Maps integration benefit from upgraded weather layers. Users receive clearer routing adjusted for weather conditions, precise storm tracking, and alerts for travel or outdoor activities.

Google confirmed Google Maps as the next major product to adopt WeatherNext 2. This update introduces advanced weather layers, real-time overlays, and targeted alerts within navigation and travel tools. Power users and businesses leverage improved datasets to optimize deliveries, event scheduling, and outdoor operations.

In the near future, Google may introduce personalized insights through the model. Examples include predictive rain windows tailored to individual commutes and automated task suggestions responding to forecast changes.


Featured image credit

Tags: AIGooglepredictionWeather

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