The world's most accurate AI weather forecasts

Yes. Our evaluations show that modern AI weather models consistently deliver forecast skill that is competitive with, and often exceeds, established industry benchmarks. Across a wide range of variables, locations, and forecast lead times, AI-based forecasting has demonstrated strong accuracy while also providing significant advantages in speed, scalability, and operational efficiency.

Yes. Our analysis demonstrates that AI weather models effectively forecast a wide range of extreme weather events. While extreme events are inherently difficult forecasting problems, we have found that AI models retain strong predictive skill during high-impact conditions and are capable of identifying the signals associated with significant weather events. The results show that AI models are not limited to forecasting average conditions and can be confidently applied to operational decision-making during periods of elevated weather risk.

Yes. Our evaluations show that AI weather models can successfully capture rapidly changing weather conditions, including wind ramps, cloud transitions, temperature shifts, and other events that are critical to energy and operational planning. Contrary to the perception that AI models smooth or miss abrupt changes, our results demonstrate that these models can detect and forecast ramp events with high skill, making them well suited for customers whose operations are sensitive to short-term weather variability.

Yes. Our tropical cyclone evaluations show that AI weather models can effectively forecast hurricanes and typhoons across multiple forecast horizons. The models consistently capture storm track evolution and key intensity characteristics with a level of accuracy that supports operational forecasting and risk-management workflows. These results reinforce our confidence that AI-based forecasting is a credible and effective approach for some of the most complex and impactful weather events on Earth.