brightbandtech retweeted
Excited to see a great new AI weather model from Google - WeatherNext3 - and to have it join the Brightband Operational WeatherBench leaderboard #OWB
@brightbandtech
@Google @GoogleDeepMind
Today, @GoogleDeepMind and @GoogleResearch are introducing WeatherNext 3, our most advanced and accurate global weather AI model to date. It uses real-time satellite data to generate hourly high-resolution forecasts, precise precipitation forecasting, and clean energy variables.
Most AI weather models are trained on data from numerical weather prediction (NWP) models, which come with a six-hour data lag. But by training on real-world observations, WeatherNext 3 is able to bypass these traditional constraints — meaning more people can get more accurate predictions to help them plan ahead.
Starting today, WeatherNext 3 will power forecasts within Search, @GeminiApp, @GoogleMaps, Google Maps Platform Weather API and Google Earth Engine.
brightbandtech retweeted
Congratulations on an outstanding model release to our friends at @GoogleDeepMind and @GoogleResearch!
Our team at @brightbandtech has been extremely impressed with this work, and we invite the community to see just how well this model performs at owb.brightband.com.
WeatherNext 3 is a major breakthrough in how we forecast global weather. ⛅
Developed with @GoogleResearch, the model learns directly from real-world, real-time observations to give more localized highly accurate predictions faster. 🧵
brightbandtech retweeted
exciting news from our team!
WeatherNext 3 is a major breakthrough in how we forecast global weather. ⛅
Developed with @GoogleResearch, the model learns directly from real-world, real-time observations to give more localized highly accurate predictions faster. 🧵
brightbandtech retweeted
really cool to see external validation of our model on @brightbandtech 's operational weatherbench!
owb.brightband.com
Today, @GoogleDeepMind and @GoogleResearch are introducing WeatherNext 3, our most advanced and accurate global weather AI model to date. It uses real-time satellite data to generate hourly high-resolution forecasts, precise precipitation forecasting, and clean energy variables.
Most AI weather models are trained on data from numerical weather prediction (NWP) models, which come with a six-hour data lag. But by training on real-world observations, WeatherNext 3 is able to bypass these traditional constraints — meaning more people can get more accurate predictions to help them plan ahead.
Starting today, WeatherNext 3 will power forecasts within Search, @GeminiApp, @GoogleMaps, Google Maps Platform Weather API and Google Earth Engine.
brightbandtech retweeted
We just dropped the latest episode of #GradientDissent with @juliangreensf and @l2k discussing AI’s role in weather forecasting.
They dive into:
📊 The shift from physics-based to AI-driven weather models
🌍 Democratizing forecasting for better climate solutions
🌪️ How AI predicts extreme weather events








