Weather forecasting is only as good as what we can observe—and right now, we’re missing a lot.
In this session from Microsoft Academic Research Exchange, experts from Tomorrow.io explain how new satellite technology, artificial intelligence, and cloud computing are reshaping how we predict the weather—and why it matters for everything from operations to global resilience.
By combining microwave satellite observations that can see through clouds, AI models, and Microsoft Azure infrastructure, they’re building a system that better captures the current state of the atmosphere—the key to more accurate forecasts.
You’ll learn how this approach helps close gaps in global weather data, improves predictions (even in places without radar), and moves forecasting beyond maps toward real-world, decision-ready intelligence.
00:00 Introduction
00:55 Why Weather Forecasting Is Hard
04:56 Seeing Through Clouds: Microwave Satellites
08:23 Turning Data into Weather Intelligence
10:30 How AI Rebuilds the Atmosphere
12:29 Predicting Weather Without Radar
15:07 Improving Forecasts with AI + Satellite Data
17:18 Scaling with Azure
18:46 Key Takeaways
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