An AI-driven reconstruction of global surface temperature with emphasis on refining the Antarctic record

Ouyang, Chenxi; Li, Qingxiang; Li, Zichen; Wei, Sihao

doi:10.5194/essd-18-6503-2026

Articles | Volume 18, issue 9

https://doi.org/10.5194/essd-18-6503-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-6503-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 9

Data description article

|

07 Sep 2026

Data description article |

| 07 Sep 2026

An AI-driven reconstruction of global surface temperature with emphasis on refining the Antarctic record

Chenxi Ouyang, Qingxiang Li, Zichen Li, and Sihao Wei

Supplement

https://doi.org/10.5194/essd-18-6503-2026-supplement

Data sets

China global Artificial Intelligence Reconstructed Surface TemperatureCMIP6 (C-AIRSTM) Chenxi Ouyang et al. https://doi.org/10.6084/m9.figshare.33122444

Model code and software

An AI-Driven Reconstruction of Global Surface Temperature with Emphasis on Refining the Antarctic Record Chenxi Ouyang https://doi.org/10.5281/zenodo.19428292

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Short summary

We used artificial intelligence to reconstruct a complete global temperature record since 1850, including better coverage of the poorly observed Antarctic region since 1961, by filling gaps in historical data and improving understanding of long-term climate change.