Author/Source: Lucas Joppa, Chief Environmental Officer, Microsoft See the full link here
Takeaway
This article is about Microsoft’s Aurora project, which uses artificial intelligence to create better and faster weather and climate predictions. You will learn how making this AI model available to everyone can help improve forecasts and address big challenges like climate change.
Technical Subject Understandability
Intermediate
Analogy/Comparison
Aurora is like a super-smart student who learns from millions of past weather reports to predict what the weather will be like in the future, much quicker and more accurately than older methods.
Why It Matters
Accurate weather forecasts are very important for keeping people safe and helping communities plan. For example, better predictions can help people prepare for severe weather events like floods or heatwaves, and help farmers decide when to plant or harvest crops.
Related Terms
Aurora, graph neural network, pre-trained foundation model, open-source. Jargon Conversion: Aurora is an AI model that predicts weather and climate. A graph neural network is a type of AI model that understands how different parts of a weather system are connected. A pre-trained foundation model is an AI model that has already learned from a huge amount of past and current weather information. Open-source means that a computer program’s code is made freely available for others to use and improve.
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