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Weather forecasting

WeatherNext ✓

Our most accurate AI weather forecasting technology.

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AI Weather Prediction Precision Weather Forecasting Extreme Weather Forecasting
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Real-time Forecasting Climate Research Decision Support Tool Weather forecasting
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Verdict

A quick read before you dig into the full page.

Best if
Our most accurate AI weather forecasting technology
Skip if
May be expensive for businesses
Pick this when
Fast weather forecasts

Considering NVIDIA Earth-2 instead? Compare side by side

Overview

WeatherNext 2 is a state-of-the-art weather forecasting tool developed by Google DeepMind and Google Research. Its core function is to provide fast and accurate weather forecasts, which is crucial in the modern world where extreme weather events are becoming increasingly common.

As such, WeatherNext 2 represents a significant evolution in the science of forecasting, harnessing the power of artificial intelligence to make more precise predictions.

Its primary users are anticipated to be researchers and enterprises who need reliable weather predictions to support their decision-making processes. Another key feature of WeatherNext 2 includes making the model's capabilities available to users, thereby facilitating increased accessibility and effectiveness of weather prediction.

The overarching goal of this tool is to contribute positively towards addressing global climate concerns and responding proactively to our changing world.

WeatherNext website

Access & connections

Where you can use WeatherNext, and what it plugs into.

Platforms

Web

Integrations

Make

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Geo

Output

  • Geo
  • API

Pros & cons

Pros

  • Fast weather forecasts
  • Accurate weather forecasts
  • Extreme weather event prediction
  • Designed for researchers
  • Designed for enterprises
  • Supports decision-making
  • Increased accessibility
  • Effective weather prediction
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  • Contributes to climate concerns
  • Real-time forecasting
  • Advanced weather modelling
  • Facilitates data analysis
  • 8 times faster
  • Can predict low-probability events
  • Generates 6-hour forecasts daily
  • Customizable on Google Cloud
  • Allows for geospatial analysis
  • Downstream model training
  • Advanced research provision
  • Integrated with Google's weather features
  • Cyclone predictions with Weather Lab
  • Predicts path, intensity, structure of cyclones
  • 15-day cyclone forecasting
  • Interactive testing website

Cons

  • Limited to Google ecosystem
  • No clear privacy policy
  • Not user-friendly for non-tech
  • Absence of historical weather data
  • Requires Google Cloud Platform
  • No real-time forecasting
  • Forecast updates only 4 times/day
  • May be expensive for businesses
Show 2 more
  • Limited extreme weather predictions
  • Models still under development

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Releases 2

WeatherNext v2 Nov 17, 2025

Much Faster Forecasts: Generates forecasts up to 8× faster than the original WeatherNext, completing predictions in under a minute on a single TPU rather than hours on traditional systems. 
Higher Resolution: Offers hour-by-hour forecast resolution (instead of only multi-hour intervals), giving more granular weather detail. 

Improved Accuracy: Outperforms the previous WeatherNext model on 99.9% of weather variables (temperature, wind, humidity, etc.) across forecast lead times up to ~15 days. 

Probabilistic Scenarios: Produces hundreds of possible weather outcomes from a single input to better capture uncertainty and extreme event possibilities. 

Broader Integration: Now powers forecasts in Google Search, Gemini, Pixel Weather, and Google Maps, and is accessible for developers via Earth Engine, BigQuery, and Vertex AI.

Initial release March 1, 2025 Current
Initial release of WeatherNext.

FAQ 12

What is WeatherNext 2?
WeatherNext 2 is a state-of-the-art weather forecasting tool that harnesses the power of artificial intelligence to provide fast and accurate forecasts. It represents a meaningful evolution in the science of weather prediction.
Who developed the WeatherNext 2 tool?
WeatherNext 2 was developed by Google DeepMind and Google Research.
What is the primary function of WeatherNext 2?
The primary purpose of WeatherNext 2 is to deliver quick and precise weather forecasts. It plays an important role in a world where extreme weather events are increasingly common.
Who are the primary users of WeatherNext 2?
Researchers and businesses that require reliable weather predictions to support their decision-making processes are anticipated to be the primary users of WeatherNext 2.
How does WeatherNext 2 use AI to enhance weather prediction?
WeatherNext 2 uses AI by analyzing various scenarios and leveraging complex algorithms to predict weather conditions more accurately and swiftly than traditional methods.
What makes WeatherNext 2 a significant evolution in weather forecasting science?
WeatherNext 2 represents a significant advancement in weather forecasting science due to its utilization of machine learning. This enables it to make highly accurate predictions, improving its capabilities over time through a process of continuous learning and adaptation.
What are some of the key features of WeatherNext 2?
Some of the key features of WeatherNext 2 include the ability to provide high-precision weather forecasts, predict extreme weather occurrences with improved accuracy, and offer users timely data to assist in decision-making. Furthermore, its model's capabilities are available to users, thereby enhancing accessibility and effectiveness of weather prediction.
How does WeatherNext 2 contribute to addressing global climate change?
WeatherNext 2 contributes towards addressing global climate change by providing accurate and timely weather forecasts. These precise forecasts allow researchers and organizations to better understand weather patterns, thus equipping them to devise proactive strategies in response to climate change.
How does WeatherNext 2 help in decision making?
WeatherNext 2 assists with decision making by providing reliable, accurate, and rapid weather forecasts. These predictions enable users to anticipate weather changes and act accordingly, whether planning day-to-day activities or making business decisions.
How does WeatherNext 2 enable accessibility in weather prediction?
WeatherNext 2 fosters accessibility in weather prediction by making the capabilities of its model available to users. This allows wider access to high-quality weather predictions and data.
Is WeatherNext 2 suitable for enterprise use?
Yes, WeatherNext 2 is ideal for enterprise use, particularly for businesses that require precise weather predictions to inform their operations and decision-making processes.
How is WeatherNext 2 effective in predicting extreme weather conditions?
WeatherNext 2 effectively predicts extreme weather conditions by leveraging machine learning. This technology allows it to make not only more precise predictions but also to detect patterns and trends, enabling it to predict low-probability but catastrophic weather events.
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