Editorial illustration for Google Brings WeatherNext 2 Forecast Data to Earth Engine and Vertex AI Platform
Google WeatherNext 2: AI Forecasting Breakthrough
WeatherNext 2 data now in Earth Engine, BigQuery; Vertex AI early access opens
Weather forecasting just got a serious upgrade from Google. The tech giant is expanding its WeatherNext 2 technology across multiple platforms, signaling a major push into more precise climate and meteorological data services.
Google is strategically positioning its new weather forecasting capabilities across key cloud and AI platforms. The move suggests a broader effort to make advanced predictive weather modeling more accessible to researchers, developers, and businesses.
By integrating WeatherNext 2 into Earth Engine, BigQuery, and Vertex AI, Google is creating new pathways for climate and weather analysis. Researchers and data scientists will now have unusual access to high-resolution forecast information.
The company's approach goes beyond traditional weather tracking. Google appears to be transforming how complex meteorological data can be processed, analyzed, and applied across different technological environments.
These platform integrations hint at something bigger: Google's growing ambition to become a critical infrastructure provider for climate and weather intelligence. And developers are about to get their first glimpse of what that might look like.
WeatherNext 2's forecast data is now available in Earth Engine and BigQuery. We're also launching an early access program on Google Cloud's Vertex AI platform for custom model inference. By incorporating WeatherNext technology, we've now upgraded weather forecasts in Search, Gemini, Pixel Weather and Google Maps Platform's Weather API.
In the coming weeks, it will also help power weather information in Google Maps. Predicting more possible scenarios From a single input, we use independently trained neural networks and inject noise in function space to create coherent variability in weather forecast predictions. Weather predictions need to capture the full range of possibilities -- including worst case scenarios, which are the most important to plan for.
WeatherNext 2 can predict hundreds of possible weather outcomes from a single starting point.
Google's weather forecasting just got a significant upgrade with WeatherNext 2's expanded data integration. The technology is now accessible across multiple Google platforms, including Earth Engine, BigQuery, and Vertex AI, signaling a strategic move to enhance weather prediction capabilities.
Developers and researchers will likely find the early access Vertex AI program particularly intriguing. The platform allows for custom model inference, potentially opening new pathways for weather-related machine learning applications.
Google's approach seems focused on broad ecosystem integration. WeatherNext 2 is already powering weather information in Search, Gemini, Pixel Weather, and Google Maps Platform's Weather API. The company plans to further expand its weather information services in Google Maps in the coming weeks.
While the full technical details remain sparse, the move suggests Google is investing heavily in more precise and adaptable weather forecasting technology. The ability to predict multiple scenarios from a single input hints at more sophisticated predictive modeling.
For now, the early access program represents an important step in Google's weather data strategy. Researchers and developers will be watching closely to see how this technology evolves.
Further Reading
- WeatherNext 2: Our most advanced weather forecasting model - Google Blog
- Google boosts AI to provide more accurate weather forecasts - BetaNews
- Google launches its most advanced AI forecasting model - Meteorological Technology International
- WeatherNext 2 is Google's most accurate forecasting model - 9to5Google
- Google's WeatherNext 2 Promises Faster, Sharper Forecasts - eWeek
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Common Questions Answered
What platforms is Google integrating WeatherNext 2 forecast data into?
Google is integrating WeatherNext 2 forecast data into Earth Engine, BigQuery, and Vertex AI platforms. The technology is also being incorporated into Google Search, Gemini, Pixel Weather, and Google Maps Platform's Weather API.
What is unique about Google's Vertex AI program for WeatherNext 2?
Google is launching an early access program on Vertex AI that allows for custom model inference of weather forecasts. This program provides developers and researchers the opportunity to create and adapt weather prediction models using Google's advanced WeatherNext 2 technology.
How does WeatherNext 2 improve weather forecasting capabilities?
WeatherNext 2 enables more precise climate and meteorological data predictions by using independently trained models to forecast multiple possible scenarios from a single input. The technology represents a significant upgrade in weather prediction accuracy and accessibility across various Google platforms.