aiqbench analysis
Aurora 1.5 represents a significant advancement in applying large-scale AI foundation models to Earth-system science, specifically enhancing weather forecasting with higher temporal resolution and expanded variable coverage. By releasing these capabilities as open source while linking them to operational infrastructure, Microsoft demonstrates a viable pathway for transitioning frontier research into practical applications for climate risk management and energy sectors. This development underscores the growing utility of machine learning in solving complex physical system problems beyond traditional NLP or computer vision tasks.
Aurora 1.5: Extending open foundation models for weather and Earth-system applications

Aurora 1.5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications. The post Aurora 1.5: Extending open foundation models for weather and Earth-system applications appeared first on Microsoft Research.
Aurora 1.5 is a major extension of Microsoft’s Aurora Earth System foundation model that adds 22 more weather variables relevant to energy, agriculture, transport, and climate risk, along with hourly temporal resolution and probabilistic ensemble forecasting. Released as open source on GitHub with model checkpoints on Hugging Face, Aurora 1.5 enables researchers and developers to use, evaluate, and build on the model. Aurora 1.5 connects open research to Microsoft Weather services, linking the model with data, infrastructure, managed access, and operational use for weather and Earth-system applications. Aurora 1.5 is a major update to the open Aurora Earth-system foundation model, adding 22 new weather variables for a broader view of atmospheric conditions, hourly forecasts, and probabilistic ensemble forecasting. Developed by Microsoft Weather as an extension of the original model from Microsoft Research AI for Science, Aurora 1.5 shows how frontier research can move into broader use: open for researchers and developers to evaluate and extend, and designed to support customers where additional data, infrastructure, and operational assurance is needed. As climate and weather-related risks continue to affect communities, infrastructure, and economies worldwide, advances in Earth-system forecasting…
Excerpt shown under the publisher's RSS terms · 186 words · full text and figures are on the publisher's site
Related coverage

News
Quantum Computing Report · Jul 25, 2026

Catalyzing scientific impact through global partnerships and open resources
Google Research · May 1, 2026
Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting
arXiv · Jul 28, 2026

Forecasting space weather risks on power grids
Microsoft Research · Sep 30, 2026