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Google launches WeatherNext 3 – AI forecasts weather directly from satellite data

Google and DeepMind have launched WeatherNext 3, an AI model that abandons physics-based simulations to learn weather patterns directly from satellite data. The model is already live in Search, Maps, and Gemini.

By the Aheadline editorial team·7 sep. 2026·2 min read·Source: Entity-watch: Google DeepMindVerifierad signalAI-generated
Google launches WeatherNext 3 – AI forecasts weather directly from satellite data
Google launches WeatherNext 3 – AI forecasts weather directly from satellite data
Google launches WeatherNext 3 – AI forecasts weather directly from satellite data
By · Verktygs- & infrastrukturreporter

What happened?

Google Research and DeepMind have announced WeatherNext 3, a new AI model for weather forecasting. The model discards traditional physics-based simulations in favour of training directly on real-time satellite data. It delivers hourly forecasts on a five-kilometre resolution grid, which is five times sharper than the previous version, providing higher precision for local weather phenomena.

Key facts

Lanseringsdatum6 september 2024
Upplösning5 km rutnät (5x skarpare)
Förbättring nederbördUpp till 50 % mer exakt
IntegrationerGoogle Search, Maps, Gemini

Why it matters

By training directly on satellite data, WeatherNext 3 can generate faster and more accurate forecasts. The model delivers up to 50 percent more precise precipitation predictions and tailored data for the renewable energy sector. These features have already been rolled out directly into Google Search, Google Maps, and the AI assistant Gemini.

Who is affected?

The launch impacts end-users seeking weather information within the Google ecosystem, as well as stakeholders in renewable energy who rely on precise local forecasts. The model covers global regions and is integrated into tools for both consumers and decision-makers.

Impact on the EU

The model is available globally via Google's consumer services. No specific information regarding restrictions or particular adaptations for the EU market was provided in conjunction with the launch.

What else you should know

Traditional meteorological models are built on complex physical equations of the atmosphere, which require immense computational resources. By training AI models directly on observations, WeatherNext 3 represents a shift in weather forecasting where data-driven models challenge classical supercomputer simulations.

Frequently asked questions

Quick answers about this story

Vad har hänt?
Google och DeepMind har presenterat WeatherNext 3, en AI-modell för väderprognoser som tränas direkt på realtidssatellitdata istället för fysikaliska simuleringar.
När hände det?
Lanseringen tillkännagavs den 6 september 2024.
Varför spelar det roll?
Modellen ger upp till 50 procent mer precisa nederbördsprognoser och fem gånger högre upplösning, samt integreras direkt i Google Sök, Maps och Gemini.
Hur påverkas energisektorn?
Modellen genererar specialiserad data för sektorn för förnybar energi, vilket underlättar planering av sol- och vindkraftsproduktion.
Original source
Entity-watch: Google DeepMind·the-decoder.com

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Topics

#Google DeepMind#Generativ AI#Machine Learning#AI-modell
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