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人工智能模型能否可靠地预测极端天气事件?

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2026-03-16 / 0 评论 / 0 点赞 / 0 阅读 / 0 字

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原文链接:https://www.nature.com/articles/d41586-026-00842-z

原文作者:Shruti Nath & Tim Palmer


Can AI models reliably forecast extreme weather events?

More-rigorous testing is required before artificial-intelligence approaches are widely adopted by public forecasting agencies.
A backlit scientist at the India Meteorological Department points to a section of a monitor showing Cyclone Dana.

A meteorologist in Kolkata, India, highlights the approaching Cyclone Dana in October 2024.Credit: Rupak De Chowdhuri/NurPhoto via Getty

Improvements in weather forecasting rank high among science’s success stories of the twentieth century1. Back in the 1970s, there were four tropical cyclones that killed tens of thousands or even hundreds of thousands of people, whereas today these storms rarely cause more than a few dozen deaths.

It was also in the 1970s that there was a turning point, when meteorological agencies around the world started adopting physics-based numerical weather-prediction models. These simulate the atmosphere by feeding worldwide observational data into equations grounded in the fundamental laws of motion and thermodynamics. The resulting improvements in forecast accuracy enabled timely evacuation and adequate preparation before a storm hit.

We need a global assessment of avoidable climate-change risks




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