TBNClimate
Experts: How are climate scientists using artificial intelligence?
Publication: Carbon Brief
Author: Ayesha Tandon
Source published: 22/10/2026, 10:45:03 UTC
Briefing created: 08/11/2026, 01:21:15 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 02/11/2026, 16:05:25 UTC.
Briefings
Climate scientists are utilizing artificial intelligence to enhance weather forecasting and climate research, leveraging large language models and machine learning to process vast datasets. Experts note that while AI excels at short-term predictions using available data, it struggles with extreme events lacking historical records. The field faces challenges including high energy consumption, potential overreliance on unverified results, and the difficulty of predicting future climates without sufficient observational data.
Key points
- AI weather-prediction models at the UK Met Office learn from large volumes of historical weather data to generate accurate short-term forecasts and extend predictions up to two weeks into the future.
- AI systems are currently deployed by the European Center for Mid-Range Weather Forecasts alongside traditional numerical models, achieving competitive accuracy in weather prediction.
Context
This briefing summarizes findings from Carbon Brief interviews with 10 climate experts discussing AI applications in forecasting, research, and policy. The findings highlight the dual role of AI as a tool for accelerating climate science while introducing significant risks related to data limitations and energy consumption.
Limitations
Evidence is limited to a snapshot of expert opinions from 2026 regarding current and projected uses of AI. Specific causal claims about AI's impact on climate outcomes are not supported by the provided text, and the scope covers only the initial stages of AI adoption in climate science.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 08/11/2026, 01:21:15 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
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