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Predictable atmospheric circulation driver of Eurasian winter temperatures
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  • Published: 28 January 2026

Predictable atmospheric circulation driver of Eurasian winter temperatures

  • Nick J. Dunstone1,
  • Chaofan Li2,
  • Doug M. Smith1,
  • Steven C. Hardiman1,
  • Leon Hermanson1,
  • Zu Luo3,
  • Adam A. Scaife1,4,
  • Rhidian Thomas5,6,
  • Lin Wang2 &
  • …
  • Tim Woollings5 

npj Climate and Atmospheric Science , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Climate sciences
  • Environmental sciences

Abstract

In contrast to global warming trends, much of Eurasia experienced a winter cooling trend over 1990–2014. Some studies have proposed a causal link between this regional cooling, particularly strong over Siberia, to coincident reductions in Arctic sea-ice extent. However, free-running historical climate models overwhelmingly simulate a forced Eurasian warming signal, leading other studies to suggest that internal variability explains the observed cooling. Here, we use retrospective seasonal climate predictions to highlight a robust dynamical link between Siberian cooling and upstream north-east Atlantic atmospheric circulation changes. Examining the interannual predictability of these circulation patterns, we find spuriously weak but skilful model signals. When these weak dynamical signals are corrected, stronger low-frequency variability in downstream Siberian temperature also emerges, with half of the observed 1990–2014 cooling simulated. Our results suggest that Eurasian decadal climate variability is at least partly driven by a predictable atmospheric circulation response to slowly evolving boundary conditions.

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Data availability

ERA5 reanalysis data was downloaded from the European Centre for Medium-Range Weather Forecasts (ECMWF), Copernicus Climate Change Service (C3S) at Climate Data Store (CDS; https://cds.climate.copernicus.eu/). The Coupled Model Intercomparison Project (CMIP6) data is archived and accessible through the Earth System Grid Federation (ESGF). The initialised hindcasts of the Met Office DePreSys3 system are available from the author upon request.

Code availability

Computer code used to produce the figures is available from the corresponding author upon request.

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Acknowledgements

This work was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra. It was also funded by the Met Office Climate Science for Service Partnership (CSSP) China project under the International Science Partnerships Fund (ISPF). LW acknowledges the support of the National Science Foundation of China (42261144687).

Author information

Authors and Affiliations

  1. Met Office Hadley Centre, Exeter, UK

    Nick J. Dunstone, Doug M. Smith, Steven C. Hardiman, Leon Hermanson & Adam A. Scaife

  2. State Key Laboratory of Earth System Numerical Modeling and Application and Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, PR China

    Chaofan Li & Lin Wang

  3. College of Oceanography & Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University, Nanjing, PR China

    Zu Luo

  4. University of Exeter, Exeter, UK

    Adam A. Scaife

  5. University of Oxford, Oxford, UK

    Rhidian Thomas & Tim Woollings

  6. University of Reading, Reading, UK

    Rhidian Thomas

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Contributions

N.J.D. led the analysis. N.J.D., C.L., and D.M.S. wrote the first draft of the manuscript. C.L. and Z.L. obtained and analysed the CMIP6 model data. C.L., S.C.H., L.H., Z.L., A.A.S., R.T., L.W., and T.W. contributed to the editing and writing of the manuscript.

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Correspondence to Nick J. Dunstone.

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Dunstone, N.J., Li, C., Smith, D.M. et al. Predictable atmospheric circulation driver of Eurasian winter temperatures. npj Clim Atmos Sci (2026). https://doi.org/10.1038/s41612-025-01297-1

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  • Received: 18 September 2025

  • Accepted: 07 December 2025

  • Published: 28 January 2026

  • DOI: https://doi.org/10.1038/s41612-025-01297-1

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