Google DeepMind has released WeatherNext 3, a new AI weather model that updates certain wind and solar-related projections more frequently, according to Bloomberg Technology. Bloomberg reports that the model forecasts two inputs that matter directly to wind and solar generation: wind strength at turbine height and the amount of sunlight reaching a solar farm. The notable change is cadence. WeatherNext 3 refreshes those projections every hour using satellite images, Bloomberg says. The outlet reports that WeatherNext 3 generates detailed forecasts comparable with other major models, but does so more quickly and more often. The reason, according to Bloomberg, is that the model is not limited by the six-hour government data cycles that major weather models typically rely on. Bloomberg frames the model around forecasts for power markets and renewable-energy variables. The supported distinction in the report is the hourly refresh rate from satellite images, rather than reliance on the next conventional six-hour government data cycle. The available reporting does not give pricing, customer names, geographic coverage, or performance metrics beyond Bloomberg’s statement that WeatherNext 3 produces detailed forecasts comparable with other major models. For now, the concrete facts are the model name, the hourly refresh, the use of satellite imagery, and the renewable-energy variables it forecasts. Who benefits: The provided reporting does not identify specific beneficiaries. Bloomberg identifies Google DeepMind as the company releasing WeatherNext 3 and describes the model’s wind and solar-related forecasts. Who's exposed: The provided reporting does not identify specific vendors, customers, or incumbents affected. It only states that WeatherNext 3 is not limited by the six-hour government data cycles that major weather models typically rely on.