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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 a new AI model called Aurora is being made available for everyone to use. You will learn how this open approach to AI can help improve weather predictions and understand climate change better.

Technical Subject Understandability

Intermediate

Analogy/Comparison

Using AI for weather forecasting is like having a super-fast group of experts who can quickly analyze all the weather information in the world to tell you exactly what the weather will be like.

Why It Matters

Accurate weather forecasts are very important because they help people prepare for dangerous weather. For example, better predictions can give communities more time to get ready for extreme storms, which can save lives and protect homes.

Related Terms

AI, machine learning, open source, numerical weather prediction, foundation model. Jargon Conversion: AI means Artificial Intelligence, which is when computers can learn and solve problems like people. Machine learning is a type of AI where computers learn from data without being told exactly what to do. Open source means that software is free for anyone to use, change, and share. Numerical weather prediction is the traditional way of forecasting weather using complicated math and physics. A foundation model is a very large AI model that can be used for many different tasks.