The weather affects important decisions we make everyday — from global supply chains and flight paths to your daily commute. In recent years, artificial intelligence (AI) has dramatically enhanced what’s possible in weather forecasting and the ways in which we can use it.
Today, Google DeepMind and Google Research are introducing WeatherNext 2, our most advanced and efficient forecasting model. WeatherNext 2 can generate forecasts 8x faster and with resolution up to 1-hour. This breakthrough is enabled by a new model that can provide hundreds of possible scenarios. Using this technology, we’ve supported weather agencies in making decisions based on a range of scenarios through our experimental cyclone predictions.
We're now taking our research out of the lab and putting it into the hands of users. 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.