Google’s DeepMind team this week unveiled an artificial intelligence model for weather prediction called GenCast.
In an article published in NatureDeepMind researchers said they found that GenCast outperforms the European Center for Medium-Range Weather Forecasts’ ENS, apparently the world’s largest operational forecast system.
and in a blog postThe DeepMind team offered a more accessible explanation of the technology: While their previous weather model was “deterministic and provided a single, best estimate of future weather,” GenCast “comprises a set of 50 or more predictions, each of which represents a possible climate.” trajectory”, creating a “complex probability distribution of future climate scenarios”.
As for how it compares to ENS, the team said it trained GenCast with weather data through 2018, then compared its forecasts for 2019 and found that GenCast was more accurate 97.2 percent of the time.
Google says GenCast is part of its suite of AI-based weather models, which it is starting to incorporate into Google Search and Maps. It also plans to publish real-time and historical forecasts from GenCast, which anyone can use in their own research and modeling.