Introducing WeatherNext 3, our most advanced and accurate global weather AI model

Introducing WeatherNext 3: Google's Next-Gen AI Model for Global Weather Forecasting

The world of weather forecasting just got a major upgrade. Google DeepMind and Google Research have officially unveiled WeatherNext 3, their latest and most advanced global AI weather model. This isn't just another incremental step; it's a significant leap forward, promising unprecedented accuracy, higher resolution, and more frequent updates for weather predictions worldwide. Released in August 2026 and integrated into key Google products starting September 3, 2026, WeatherNext 3 is set to reshape how we understand and prepare for weather events, from daily forecasts to long-term climate strategies. For years, weather forecasting relied heavily on complex numerical weather prediction (NWP) systems. While these models have been foundational, they often come with limitations: high operational costs, computational intensity, and a slower refresh rate that can miss rapidly developing weather patterns. WeatherNext 3 addresses these challenges head-on, leveraging the power of artificial intelligence to deliver faster, more reliable, and incredibly detailed forecasts. This update is particularly crucial in an era where extreme weather events are becoming more frequent and impactful. Industries, governments, and individuals alike are seeking more precise information to protect lives, property, and economic stability. With WeatherNext 3, Google aims to empower everyone with better insights to make smarter, more informed decisions.

What's New and Improved in WeatherNext 3?

WeatherNext 3 builds upon the strong foundation laid by its predecessors, WeatherNext 2 (June 2025), WeatherNext 1 Gen (December 2024), and WeatherNext 1 Graph (November 2023), but introduces several groundbreaking advancements that set it apart.

Real-time Satellite Input and Hourly Updates

One of the most significant enhancements in WeatherNext 3 is its ability to ingest live global geostationary satellite mosaics as a direct model input. This crucial change allows the model to be initialized every single hour, a departure from the multi-hour cycles of traditional systems. This hourly refresh cycle provides critical lead time for tracking fast-changing weather conditions, such as sudden storm fronts, rapidly developing precipitation systems, or localized snow events. For anyone needing up-to-the-minute weather intelligence, this capability is a game-changer.

Unprecedented Multi-Resolution Output

WeatherNext 3 delivers forecasts at multiple spatial resolutions from a single pass, offering a significantly sharper picture of global weather.

• 0.05° (~5 km) Resolution: This incredibly fine resolution is used for station-trained 2m temperature and dew point. This level of detail allows the model to resolve fine topographic features, valleys, and coastlines, providing highly localized temperature and humidity predictions.
• 0.1° (~10 km) Resolution: For other critical gridded surface variables like 10m and 100m wind, pressure, sea surface temperature, cloud layers, solar radiation fields, and 1-hour precipitation, the model provides a 10km resolution.
• 0.25° (~25 km) Resolution: Three-dimensional upper-air atmospheric fields, such as those related to atmospheric pressure levels, are available at this resolution, typically in 6-hourly cycles.

Compared to WeatherNext 2, which primarily operated on a 0.25° (~25 km) grid, WeatherNext 3 offers a core spatial resolution that is up to five times higher for key surface variables. This translates to a global weather picture that is roughly five times sharper, allowing for much more precise forecasting.

Enhanced Accuracy Across the Board

Accuracy is paramount in weather forecasting, and WeatherNext 3 shows marked improvements. Independent live evaluations by Brightband's Operational WeatherBench (OWB) have positioned WeatherNext 3 as the most advanced and accurate global weather model to date. Specifically, for precipitation forecasting, the model demonstrates significant gains:

• Up to a 50% reduction in Brier score and CRPS compared to numerical weather prediction baselines when evaluated against global IMERG observations.
• Improvements of up to 60% against NASA's IMERG baseline, 30% against MRMS, and 10% against rain gauge measurements for early lead times.

This means that when planning a day or more ahead, users can expect up to 50% more accurate precipitation forecasts, with the most substantial improvements seen in regions that have historically been underserved by high-resolution forecasting. The model also trains directly on real-world weather station data, ensuring its outputs better reflect what's actually measured on the ground.

Expanded Variable Support for Key Industries

Recognizing the growing needs of various sectors, WeatherNext 3 introduces specific variables relevant to industries like renewable energy. It directly outputs 100-meter wind speeds, comprehensive cloud cover data, and solar radiation components (SSRD, FDIR). This information is vital for managing wind and solar farms more efficiently, helping operators optimize energy production and plan for fluctuations.

Global Reach, Better Local Insights

WeatherNext 3 provides global coverage, with a particular focus on improving forecasts for regions across Latin America, Africa, and Asia-Pacific. These areas have often lacked access to high-resolution, frequently updated weather predictions, and WeatherNext 3 aims to bridge that gap.

How WeatherNext 3 Works: The AI Advantage

At its core, WeatherNext 3 is powered by a sophisticated Functional Generative Network (FGN) mesh transformer architecture, an evolution of the approach used in WeatherNext 2. Instead of relying solely on complex physics equations that demand immense computational power and time, WeatherNext 3 learns directly from vast amounts of real-world observational data. The model ingests live geostationary satellite observations and combines them with historical analysis data from sources like ERA5, HRES-fc0, IMERG, and station observations. This data-driven approach allows the AI to identify intricate patterns and dynamics in the atmosphere that might be difficult for traditional models to capture, leading to more accurate and faster predictions. The result is a system that can generate a comprehensive 15-day global forecast with 64 ensemble members in minutes, a speed unmatched by conventional methods.

Accessing WeatherNext 3: For Everyone and Enterprises

Google is making WeatherNext 3's advanced forecasting capabilities widely accessible.

For General Users

For everyday use, the power of WeatherNext 3 is being integrated directly into the Google products that billions of people already rely on. This means you'll see its improved forecasts reflected in:

• Google Search: When you look up weather information.
• Google Maps: For navigation and local weather insights.
• Gemini App: Providing more accurate and timely weather responses.

These integrations aim to help individuals make smarter daily decisions, from knowing whether to bring an umbrella to planning outdoor activities.

For Developers and Enterprises

For businesses, researchers, and developers who require direct access to this high-resolution data, WeatherNext 3 forecast data is available through various Google Cloud platforms:

• Google BigQuery
• Google Earth Engine
• Google Cloud Storage (for bulk downloads)
• Google Maps Platform Weather API

These options allow enterprises to integrate WeatherNext 3's high-resolution forecasts into their own applications and workflows without the need for complex model setup. This is particularly beneficial for sectors like energy, agriculture, logistics, and insurance, where precise weather data can drive operational efficiency, risk mitigation, and strategic planning. It's important to note that WeatherNext 3 is an experimental AI forecasting system under active research. While highly advanced, its predictions are provided "as-is" for informational and research purposes. Users are always advised to defer to official alerts and advisories from national meteorological services for the protection of life and property.

The Bigger Picture: Why This Update Matters

The launch of WeatherNext 3 marks a significant milestone in the field of AI-powered weather forecasting. It represents a shift from purely physics-based models to hybrid approaches that leverage the predictive power of deep learning, trained on vast datasets of real-world observations. This approach leads to models that are not only more accurate but also more agile, capable of adapting to the complexities of a changing climate. The ability to generate hourly forecasts at such high resolutions, especially for precipitation, can have profound impacts. Farmers can make better decisions about planting and harvesting. Renewable energy providers can optimize their grids more effectively. Emergency services can issue more localized and timely warnings. For historically underserved regions, this technology can bring a new level of preparedness and resilience against weather-related disasters. Google DeepMind and Google Research continue to push the boundaries of what's possible with AI in scientific domains, and WeatherNext 3 stands as a powerful testament to their commitment to tackling real-world challenges with cutting-edge technology. As the model evolves and becomes further integrated, its impact on our daily lives and global industries will only grow.

Frequently Asked Questions

What is WeatherNext 3?

WeatherNext 3 is the latest global AI weather forecasting model developed by Google DeepMind and Google Research. It uses real-time satellite data and advanced machine learning to provide highly accurate, high-resolution, and frequently updated weather predictions worldwide.

When was WeatherNext 3 released?

The WeatherNext 3 model was released in August 2026, with its integration into Google products like Search, Maps, and the Gemini app beginning on September 3, 2026.

How is WeatherNext 3 different from previous weather models?

WeatherNext 3 introduces several key advancements over its predecessors and traditional numerical weather prediction systems. It ingests real-time satellite data for hourly updates, offers up to 5x higher spatial resolution (down to 5km for certain variables), provides significantly more accurate precipitation forecasts (up to 50% improvement), and includes new variables relevant for renewable energy applications.

How can I access WeatherNext 3 data?

For general users, WeatherNext 3 forecasts are integrated into Google Search, Google Maps, and the Gemini app. For developers and enterprises, the forecast data is accessible through Google Cloud platforms, including BigQuery, Earth Engine, Google Cloud Storage, and the Google Maps Platform Weather API.