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WeatherNext is a family of AI models from Google DeepMind and Google Research that produces state-of-the-art weather forecasts. These models are faster and more efficient than traditional physics-based weather models and yield superior forecast reliability. The gains in forecast performance could enable better preparation to help save lives in the face of extreme weather events and enhance the reliability of sustainable energy and supply chains. WeatherNext Graph offers more accurate and efficient deterministic forecasts compared to the best deterministic systems in use today, providing a single weather forecast per time and location with a temporal resolution of 6 hours and a lead time of 10 days. WeatherNext Gen accurately generates an ensemble forecast, better than the current ensemble models most widely used today, helping decision-makers better understand weather uncertainties and risks of extreme conditions.

Baron Weather provides a suite of professional weather data, analytics, alerting, and visualization solutions that turn high-resolution weather information into actionable insights for decision-making. Its products include scalable weather data APIs offering access to real-time, forecast, and historical weather parameters with standardized formats and global coverage, designed for seamless integration into apps, systems, and analytics workflows; location-specific advanced alerting tools that combine National Weather Service watches and warnings with Baron’s own pinpoint alerts to keep people, assets, and operations safe; and web-based platforms like Baron Threat Net for interactive severe weather tracking, layered radar and forecast mapping, customizable alerts, and industry-specific insights. Baron also delivers weather visualization and communication software used by broadcast meteorologists and operational teams to create precise, engaging weather reports.