How are climate scientists using artificial intelligence?

Published 22 October 2026
  • Date (DD-MM-YYYY)

    30-10-2026 to 30-01-2027

    Available on-demand until 30th January 2027

  • Cost

    Free

  • Education type

    Publication

  • CPD subtype

    On-demand

Artificial intelligence (AI) is developing at a rapid pace and is increasingly being used by scientists to better understand climate change.

AI is perhaps best-known for its use in “large language models”, such as ChatGPT, Claude and Gemini.

However, the field is vast. 

From weather forecasting to analysing satellite images, climate scientists are using various types of AI to develop faster and more efficient ways to study the warming planet. 

However, the technology comes with no shortage of risks and challenges, including overreliance on unverified results, intensive energy use and exacerbating existing inequalities in climate science.

Carbon Brief spoke to 10 experts working across a range of climate-related fields – from developing climate forecasts to analysing changes in the energy grid – about how AI is being used.

Their answers are set out below, grouped by theme.

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