Stanford University: AI predicts Earth's peak warming

[OKIsItJustMe]

1. AI predicts that most of the world will see temperatures rise to 3C much faster than previously expected

https://ioppublishing.org/news/ai-predicts-that-most-of-the-world-will-see-temperatures-rise-to-3c-much-faster-than-previously-expected/

AI predicts that most of the world will see temperatures rise to 3C much faster than previously expected
10 Dec 2024 by Kate Giles

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Key Findings

Using AI-based transfer learning, the researchers analysed data from 10 different climate models to predict temperature increases and found:

• 34 regions are likely to exceed 1.5°C of warming by 2040.
• 31 of these 34 regions are expected to reach 2°C of warming by 2040.
• 26 of these 34 regions are projected to surpass 3°C of warming by 2060.

Elizabeth Barnes says:

“Our research underscores the importance of incorporating innovative AI techniques like transfer learning into climate modelling to potentially improve and constrain regional forecasts and provide actionable insights for policymakers, scientists, and communities worldwide.”

Noah Diffenbaugh, co-author and professor at Stanford University, added:

“It is important to focus not only on global temperature increases but also on specific changes happening in local and regional areas. By constraining when regional warming thresholds will be reached, we can more clearly anticipate the timing of specific impacts on society and ecosystems. The challenge is that regional climate change can be more uncertain, both because the climate system is inherently more noisy at smaller spatial scales and because processes in the atmosphere, ocean and land surface create uncertainty about exactly how a given region will respond to global-scale warming.”

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