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The next phase of Aurora: Open and collaborative AI for weather and climate forecasting – November 2025

Author/Source: Microsoft On the Issues See the full link here

Takeaway

This article explains how special computer programs called AI are being used to make weather and climate predictions much better. It talks about a system called Aurora and how working together can improve these forecasts to make them more accurate and useful for everyone.


Technical Subject Understandability

Beginner


Analogy/Comparison

Using AI for weather forecasting is like having a very skilled chef who can combine many different ingredients and recipes to predict exactly what a meal will taste like, much better than if they only used one recipe.


Why It Matters

Better weather predictions are important because they can help people prepare for big storms and save lives. For instance, knowing more accurately when and where a hurricane will hit can give people more time to get to safety, and better forecasts can also help farmers know the best time to plant crops.


Related Terms

Ensemble weather prediction. Jargon Conversion: Ensemble weather prediction means running many different weather forecasts at the same time to see all the possible ways the weather might turn out.

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